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The rate of change of velocity in a vibrating object, typically measured in g’s. Acceleration is commonly used to detect high‑frequency faults such as bearing defects or impacts.
A sensor that measures acceleration in one or more directions and is widely used for vibration‑based condition monitoring of rotating equipment.
The analysis of sound signals emitted by equipment to identify abnormal patterns associated with faults such as leaks, friction, bearing wear, or misalignment. Acoustic analysis enables non‑contact fault detection and early issue identification.
A high‑frequency acoustic technique that detects stress waves generated by cracks, deformation, or material defects while equipment is under load. Often used for early‑stage fault detection and structural integrity monitoring.
A defined set of tasks, responsibilities, and timelines created to address identified maintenance issues. Action plans ensure analytical insights are translated into timely, effective execution.
Maintenance tasks added after the original planning cutoff, typically due to newly discovered issues or urgent operational needs.
Fine‑tuning equipment settings or alignment to maintain optimal performance, compensate for wear, or respond to changing operating conditions.
The use of data‑driven tools and forecasting techniques to ensure critical spare parts are available when needed while minimizing excess inventory and carrying costs.
The relationship between an asset’s age and its likelihood of failure. Understanding these characteristics helps optimize maintenance timing and replacement strategies.
A defined computational method used to process sensor data, identify patterns, detect anomalies, or support predictive insights.
Signal distortion caused by insufficient sampling frequency, which can misrepresent true vibration or acoustic frequencies and lead to incorrect diagnostics.
The magnitude of a vibration or acoustic signal. Changes in amplitude are often used to assess fault severity.
The identification of data patterns that deviate from normal equipment behavior and may indicate emerging faults or abnormal operating conditions.
A numerical value that quantifies how far a data point or behavior deviates from normal operation, helping prioritize investigation and maintenance actions.
A set of rules that enables software systems—such as CMMS, EAM, or analytics platforms—to exchange data and integrate workflows.
Computer systems designed to analyze data, recognize patterns, and support decision‑making. In predictive maintenance, AI enhances fault detection, diagnostics, and forecasting.
Any physical piece of equipment or machinery that an organization maintains to support operations, production, or infrastructure.
A measure of the percentage of time an asset is operational and ready for use, reflecting both reliability and maintenance effectiveness.
The practices and activities focused on preserving asset condition and performance, including inspection, lubrication, cleaning, and corrective actions.
The measurement of asset health indicators—such as vibration, temperature, or sound—to detect deterioration and developing faults.
A holistic assessment of asset condition that combines multiple data sources and trends to evaluate performance, degradation, and failure risk.
The stages an asset passes through from acquisition and operation to maintenance and eventual disposal.
A structured approach to managing assets across their entire lifecycle to optimize cost, performance, and risk.
The coordinated activities used to plan, operate, maintain, and retire assets in a cost‑effective and performance‑driven manner.
The process of maximizing asset value by improving performance, availability, and useful life while minimizing cost and risk.
A data‑driven discipline that uses monitoring, analytics, and insights to improve asset reliability, availability, and operational performance.
The probability that an asset will perform its required function without failure for a defined period under stated conditions.
The monitoring of asset location, status, and usage to improve utilization, prevent loss, and support timely maintenance.
The degree to which an asset is used relative to its capacity, balancing productivity with wear and longevity.
The use of technology to perform monitoring, diagnostics, or maintenance‑related activities with minimal manual intervention.
A maintenance approach where equipment operators perform basic care tasks—such as cleaning and inspection—to improve reliability and ownership.
The expected operational lifespan of an asset or component based on historical data, usage, and operating conditions.
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The total amount of maintenance work that has been identified but not yet completed. Maintenance backlog is commonly used to assess workload, resource capacity, and maintenance effectiveness.
A machine‑readable visual code used to identify assets, parts, or inventory. In maintenance, barcodes support faster asset identification, tracking, and data entry.
The practice of applying barcodes to assets, parts, or materials to streamline tracking, inventory control, and maintenance workflows.
Predefined conditions or events that initiate maintenance activities, such as time intervals, usage thresholds, inspection findings, or condition monitoring alerts.
A work approach where maintenance tasks or work orders are grouped and completed sequentially. While simple to manage, batch‑and‑queue processes can increase waiting time and slow response compared to continuous flow methods.
A reliability model showing how failure rates change over time, typically progressing through early failures, a stable operating period, and wear‑out failures. The bathtub curve is commonly used to guide maintenance strategy decisions.
The process of comparing maintenance performance, costs, or practices against industry standards or peer organizations to identify improvement opportunities.
Large volumes of structured and unstructured data generated from sensors, systems, and operations. In predictive maintenance, big data enables trend analysis, pattern recognition, and performance optimization.
A structured list of parts, components, and materials required to build, maintain, or repair an asset. In maintenance, BOMs support planning, spare parts management, and work execution.
A procurement agreement that allows recurring purchases from a supplier over a defined period, commonly used to simplify sourcing of maintenance, repair, and operations (MRO) materials.
A reactive maintenance approach where repairs are performed only after equipment failure occurs. While sometimes unavoidable, reliance on breakdown maintenance often leads to unplanned downtime and higher costs.
The process of evaluating the costs, benefits, risks, and expected outcomes of a maintenance initiative or investment. Business cases are commonly used to justify predictive maintenance programs or technology adoption.
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The process of verifying and adjusting measuring instruments to ensure accuracy against a known standard. Regular calibration supports reliable data, quality control, safety, and regulatory compliance.
The degree to which calibrated instruments maintain accuracy over time between calibration intervals. High calibration reliability supports consistent measurements and trustworthy maintenance decisions.
An unscheduled request for maintenance personnel to respond to urgent equipment issues, often outside normal working hours, to minimize downtime in critical operations.
The process of determining labor, tools, and material resources required to meet current and future maintenance demands without overloading teams or delaying work.
A measure of how much available production capacity is being used. Reliable assets and effective maintenance are key to maintaining high capacity utilization.
Funds allocated to acquire, upgrade, or extend the life of physical assets. In maintenance, CapEx often supports major repairs, overhauls, or equipment upgrades.
The replacement of a worn, failed, or obsolete component with a new one as part of preventive or corrective maintenance activities.
Structured task lists used to ensure maintenance activities are performed consistently, safely, and completely during inspections, repairs, or preventive work.
The use of remote servers to store, process, and analyze maintenance data, enabling real-time monitoring, analytics, and scalable predictive maintenance.
Adherence to regulatory, safety, environmental, and industry standards in maintenance operations to reduce risk and ensure safe, legal operation.
An individual part or element within a larger asset or system. Effective component management supports troubleshooting, repair, and reliability improvement.
Software systems that support facility operations such as maintenance management, space planning, and asset tracking within buildings and infrastructure.
A software platform used to plan, schedule, track, and analyze maintenance activities, work orders, asset history, and spare parts.
The evaluation of an asset’s current physical state to determine degradation, remaining service life, and maintenance needs.
The continuous or periodic measurement of asset condition indicators—such as vibration, temperature, or sound—to detect developing faults and prevent failures.
A maintenance strategy where work is performed based on actual equipment condition rather than fixed schedules, reducing unnecessary maintenance and preventing failures.
The documented arrangement and specifications of assets and their components, supporting consistent performance, compliance, and effective troubleshooting.
Planned provisions—such as additional time, resources, or budget—to address unexpected events that may disrupt maintenance activities.
An ongoing effort to enhance maintenance effectiveness, reliability, and efficiency through incremental changes, data analysis, and root cause learning.
A production approach where processes run without interruption, requiring highly reliable equipment and proactive maintenance strategies.
Maintenance performed to restore equipment after a fault or failure has occurred. Excessive corrective maintenance often indicates insufficient preventive or predictive practices.
The measurement and tracking of material degradation caused by corrosion to prevent failures, extend asset life, and maintain safety.
The process of forecasting labor, material, and resource costs associated with maintenance work to support budgeting and planning.
Efforts to lower maintenance-related expenses through improved planning, optimized maintenance strategies, better inventory control, and technology adoption.
A skilled maintenance professional responsible for inspecting, diagnosing, repairing, and improving equipment performance and reliability.
A structured method for ranking assets based on their impact on safety, production, cost, and risk to prioritize maintenance resources effectively.
The total time required to complete a maintenance task from start to finish, including preparation, execution, and restoration.
A continuous inventory auditing method where small subsets of spare parts are counted regularly to maintain accurate inventory records without full shutdowns.
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A visual interface that displays key maintenance metrics such as asset condition, work order status, downtime, and performance indicators to support fast, informed decision making.
The practice of using consistent methods and formats to collect maintenance and asset data across an organization, improving data quality, comparability, and analysis.
The process of analyzing large datasets to identify patterns, trends, and relationships. In predictive maintenance, data mining supports fault detection, performance analysis, and failure prediction.
The accuracy and consistency of maintenance and asset data over time. Reliable data is essential for effective diagnostics, forecasting, and decision making.
A subset of machine learning that uses multilayer neural networks to identify complex patterns in large datasets. In maintenance, deep learning enhances fault detection and failure prediction.
Any flaw or imperfection in equipment or processes that can reduce performance, accelerate wear, or lead to failure.
Maintenance work that has been postponed due to budget, resource, or priority constraints. Deferred maintenance often increases longterm risk, cost, and likelihood of failure.
A continuous improvement framework—Plan, Do, Check, Act—used to systematically improve maintenance processes, reliability, and performance.
The accounting allocation of an asset’s cost over its useful life. In maintenance planning, depreciation helps inform repair, replacement, and lifecycle decisions.
A structured method for identifying potential design failures and their impacts before deployment. DFMEA insights support reliability improvements and maintenance strategy development.
The speed at which an asset or component degrades over time. Understanding deterioration rate helps forecast maintenance timing and prevent failures.
Methods used to identify the causes of equipment faults, ranging from visual inspection to advanced techniques such as vibration analysis, thermal imaging, and ultrasound.
A virtual representation of a physical asset that uses real-time data to mirror condition and performance, enabling simulation, prediction, and optimized maintenance decisions.
An automated control system used to monitor and manage distributed industrial processes. DCS platforms provide operational data that supports reliability and maintenance decision making.
The period when equipment or systems are not operational due to maintenance, repair, or failure. Downtime may be planned or unplanned.
Strategies and practices aimed at minimizing equipment downtime through proactive maintenance, rapid response, and improved planning.
The measurement and recording of downtime events to identify root causes, assess operational impact, and improve maintenance effectiveness.
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A structured approach to managing physical assets across their lifecycle, including maintenance planning, execution, performance monitoring, and compliance, to maximize reliability and value.
Software platforms that support EAM by integrating asset data, maintenance workflows, performance tracking, and analytics across the asset lifecycle.
A proactive approach that incorporates reliability, maintainability, and operability into equipment design, selection, and installation to reduce lifecycle cost and downtime.
The period during which an asset remains cost effective to operate and maintain before replacement becomes the more economical option.
An inventory planning method used to determine optimal order quantities that minimize total costs for spare parts and maintenance materials.
The processing of data close to where it is generated—such as on sensors or gateways—to reduce latency and enable faster operational and maintenance decisions.
The evaluation of electrical systems and components to verify safety, functionality, and performance, helping prevent failures and ensure compliance.
Urgent maintenance performed in response to unexpected failures that pose immediate operational or safety risk. Frequent emergency maintenance often indicates gaps in preventive or predictive practices.
The monitoring and optimization of energy usage through efficient equipment operation, maintenance practices, and performance analysis to reduce cost and environmental impact.
Adherence to environmental laws, regulations, and standards related to maintenance activities, waste handling, emissions, and hazardous materials.
The documented setup, arrangement, and operating parameters of equipment, supporting consistent performance, troubleshooting, and reliability.
The loss of an asset’s ability to perform its intended function, often resulting in downtime, safety risk, or production loss.
A composite metric representing overall equipment condition by combining condition indicators, performance data, and maintenance history.
The expected duration an asset can perform effectively before replacement, influenced by operating conditions, usage, and maintenance quality.
The approaches used to maintain assets—including preventive, predictive, condition based, and corrective maintenance—selected based on criticality and cost effectiveness.
The continuous observation of asset condition and performance using sensors and analytics to detect issues early and prevent failures.
The ability of an asset to perform its required function under stated conditions for a defined period of time.
The estimated cost to replace a facility’s assets with new equivalents at current market prices, often used for benchmarking maintenance investment.
The process of ensuring timely delivery of parts and materials required for maintenance work to prevent delays and downtime.
Maintenance materials, spare parts, and consumables that are consumed and recorded as operating expenses rather than capitalized assets. Effective management helps control costs while ensuring part availability.
An AI-based system that applies encoded expert knowledge and rules to diagnose faults, predict failures, and recommend maintenance actions.
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Software used to plan, schedule, track, and manage maintenance activities within facilities, supporting asset management, compliance, and operational efficiency.
Software used to plan, schedule, track, and manage maintenance activities within facilities, supporting asset management, compliance, and operational efficiency.
A systematic evaluation of buildings and infrastructure to determine current condition, identify deficiencies, and prioritize maintenance and capital improvements.
The coordinated management of buildings, infrastructure, and services to ensure safe, efficient, and reliable operation in support of business objectives.
A design principle in which systems default to a safe condition when a failure occurs, minimizing risk to people, equipment, and the environment.
The structured investigation of failed components or systems to determine root causes and prevent recurrence through corrective actions.
The underlying reason an asset or component fails, such as design issues, improper maintenance, operating conditions, or material degradation.
A standardized identifier used to classify and record the cause of equipment failures, enabling trend analysis and improved maintenance decision making.
The operational, safety, environmental, or financial impacts that result from an asset failure, used to prioritize maintenance and risk mitigation efforts.
The immediate outcome of a failure on system performance or operation, describing how the failure manifests and impacts functionality.
The time period between inspections or tests intended to detect hidden failures before they result in functional failure or safety risk.
A scheduled maintenance activity designed to identify hidden failures or degraded conditions that are not immediately observable.
The specific manner in which a component or system fails. Understanding failure modes is essential for effective maintenance planning and mitigation.
A systematic method for identifying potential failure modes, their causes, and effects to reduce risk and improve reliability.
An extension of FMEA that evaluates the severity and likelihood of failure modes to prioritize the most critical risks.
The characteristic trend of failures over time—such as early-life, random, or wearout—used to guide maintenance strategy selection.
A measure of how frequently a component or system fails over a defined period, commonly used to assess reliability and risk.
A closed loop process for capturing failure data, identifying root causes, implementing corrective actions, and tracking effectiveness.
The process of detecting and identifying abnormal conditions or faults within equipment using data analysis, monitoring, and diagnostic techniques.
The ability of a system to continue operating despite component failures, often achieved through redundancy, failsafe design, and error detection.
A top down analytical method that maps combinations of faults leading to system failure, supporting root cause identification and risk reduction.
The process of extracting and transforming meaningful indicators from raw data to improve the performance of predictive and machine learning models.
The investigation of failures that occur in real operating environments to identify causes and improve design, operation, and maintenance practices.
Software used to manage field-based maintenance activities, including technician scheduling, work orders, inventory, and service execution.
Inventory management methods where materials are consumed in either first-in-first-out or last-in-first-out order, impacting inventory valuation and spare parts management.
A metric measuring the percentage of maintenance or material requests fulfilled from available inventory without delays or backorders.
A quality metric representing the percentage of work completed correctly without rework, reflecting process and maintenance effectiveness.
A measure of how often maintenance issues are resolved on the first attempt without repeat visits or additional parts.
A long-term physical asset such as machinery, buildings, or vehicles used in operations and maintained over its useful life.
The processes used to track, maintain, depreciate, and manage fixed assets throughout their lifecycle.
A financial metric that measures how effectively fixed assets are used to generate revenue, influenced by asset availability and reliability.
The management of vehicle fleets, including maintenance, tracking, compliance, and cost optimization, to ensure safe and efficient operation.
Maintenance materials or spare parts stored near the point of use to support rapid response and reduce downtime.
Devices used to measure the rate or volume of fluids or gases in a system, supporting condition monitoring and process optimization.
A Total Productive Maintenance (TPM) practice that targets specific losses or inefficiencies through structured, cross-functional problem solving.
A planning approach that schedules maintenance tasks starting from the current date and projecting forward based on resource availability.
The volume of maintenance tasks planned for future execution, used to support capacity planning and resource allocation.
The intended purpose or operation of an asset or system, forming the basis for defining maintenance requirements.
The inability of an asset to perform its intended function to required standards.
A test performed to verify that equipment operates according to its intended function, often conducted after maintenance or repairs.
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A visual scheduling tool that displays maintenance tasks along a timeline, showing start dates, durations, and dependencies to support planning, coordination, and resource management.
A lean concept meaning “the actual place,” referring to the work area where maintenance and operations occur. Gemba walks involve observing equipment and processes firsthand to identify issues and improvement opportunities.
A system used to capture, manage, and analyze locationbased data. In maintenance, GIS supports asset tracking, infrastructure management, and geographically informed planning and resource allocation.
The point in a production or maintenance process at which equipment or output must meet defined performance, quality, or readiness standards before advancing to the next stage of operation.
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Portable devices such as smartphones or tablets used by maintenance teams to access work orders, documentation, and asset data in real time while in the field.
A structured, systematic method for identifying potential hazards and operational issues by examining deviations from intended process design.
A measurable parameter derived from sensor or operational data that reflects the condition, degradation, or risk state of an asset.
Specialized maintenance software designed to manage inspections, repairs, and performance of heavy machinery used in industries such as construction, mining, and agriculture.
A failure that is not immediately evident during normal operation and is typically discovered through inspection, testing, or secondary failure events.
A monitoring approach that captures frequent, full-spectrum data to provide greater visibility into machine behavior, degradation trends, and early fault development.
Inventory items set aside pending evaluation for repair, return, reuse, or disposal due to defects, obsolescence, or excess quantity.
The probability that maintenance tasks are performed correctly under defined conditions, influenced by training, procedures, ergonomics, and system design.
Devices that measure moisture levels in the air to help monitor environmental conditions that may affect equipment performance, corrosion risk, or material integrity.
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Periods when equipment is not operating or producing output due to maintenance, setup, delays, or lack of demand. Reducing idle time improves utilization and operational efficiency.
The use of visual representations to display equipment locations, conditions, or workflows, supporting clearer maintenance planning and decision making.
A maintenance model where work is performed by internal staff rather than outsourced providers, offering greater control, faster response, and deeper asset knowledge.
Techniques and tools—such as vibration analysis, infrared thermography, and ultrasonic testing—used to identify, analyze, and correct equipment issues in industrial environments.
A network of connected sensors, devices, and systems used in industrial environments to collect real-time data for monitoring, analytics, and predictive maintenance.
The practice of maintaining and repairing equipment, machinery, and facilities used in manufacturing and industrial production to ensure safety, reliability, and continuity of operations.
The digital transformation of manufacturing driven by IIoT, cloud computing, analytics, artificial intelligence, and automation, enabling smarter, more predictive maintenance practices.
The reliability of a system or component based solely on its design and build quality, assuming ideal operating and maintenance conditions.
The examination of equipment or systems to assess condition, identify defects, and verify proper operation as part of preventive and predictive maintenance programs.
Describes parts or components that can be replaced with identical or equivalent items without modification, simplifying maintenance and spare parts management.
A network of connected devices and sensors that collect and transmit data. In maintenance, IoT enables real-time condition monitoring and data-driven decision making.
Spare parts, tools, and consumables held to support maintenance activities. Effective inventory management ensures availability while minimizing carrying costs and downtime.
The financial process of tracking and valuing inventory using methods such as FIFO or LIFO to support accurate reporting and planning.
The management of inventory levels to ensure required parts are available when needed without overstocking or shortages that cause downtime.
The planning, ordering, storage, and use of inventory to support maintenance operations efficiently and cost effectively
A ratio that indicates how frequently inventory is used and replenished over a period, reflecting the efficiency of inventory management practices.
The total financial value of inventory on hand, used for budgeting, reporting, and operational decision making.
An international standard that defines requirements for an effective facility management system, supporting efficiency, safety, and alignment with organizational objectives.
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A documented set of steps, tools, materials, labor, and estimated time required to complete a maintenance task safely and effectively. Job plans standardize work execution, improve quality, and reduce variability.
A structured process used to identify hazards associated with a maintenance task and define controls to reduce risk before work begins.
An inventory management strategy where materials and parts are received only when needed, reducing carrying costs and waste while requiring precise planning and supplier coordination.
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A continuous improvement philosophy focused on making small, incremental changes over time to improve efficiency, quality, and reliability across processes and teams.
Quantitative metrics used to measure maintenance performance and outcomes, such as uptime, downtime, work order completion, preventive maintenance compliance, and cost avoidance.
Metrics used to monitor rising operational or asset risk—such as increasing failure likelihood, safety exposure, or backlog growth—so teams can intervene before impacts occur.
The process of assembling all parts, tools, and materials required for a maintenance job into a single kit to reduce delays, improve wrench time, and standardize execution.
A centralized repository of maintenance knowledge—such as job plans, troubleshooting guides, failure codes, and best practices—used to improve consistency and speed of problem resolution.
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The elapsed time between initiating a maintenance request and completing the work, including planning, parts procurement, scheduling, and execution. Reducing lead time improves responsiveness and minimizes downtime.
A regulatory and maintenance program focused on identifying, monitoring, and repairing leaks of hazardous or regulated substances to support environmental compliance, safety, and operational efficiency.
The application of lean principles to maintenance activities, focusing on eliminating waste, improving workflow, and maximizing value through efficient planning and execution.
A methodology that combines lean waste reduction principles with Six Sigma’s focus on reducing variation to improve process efficiency, quality, and reliability.
A structured method used to determine the most costeffective level at which maintenance or repair should be performed, such as repair, replace, or overhaul.
An assessment method that evaluates environmental impacts across all stages of an asset’s life, from raw material extraction through operation, maintenance, and disposal.
An approach for calculating the total cost of ownership of an asset across its entire life, including acquisition, operation, maintenance, and disposal.
The coordinated management of assets from design and acquisition through operation, maintenance, and retirement to optimize performance, cost, and sustainability.
A highly automated manufacturing approach that operates with minimal or no human intervention, relying on automation, robotics, and monitoring technologies.
A safety procedure used to isolate hazardous energy sources and prevent equipment from being energized during maintenance or repair activities.
A systematic process used to plan and manage the logistical support requirements of equipment across its lifecycle, including maintenance, supply, and training.
The application of oils or greases to reduce friction, wear, and heat between moving parts, supporting reliable operation and extended equipment life.
The testing and evaluation of lubricants to detect contamination, degradation, or wear particles, helping identify developing mechanical issues.
A structured approach to selecting, applying, monitoring, and analyzing lubricants to improve equipment reliability and reduce maintenance costs.
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The percentage of time a machine is operational and ready to run when needed. Higher availability is driven by reliability, planned maintenance, and fast issue resolution.
The monitoring of key machine parameters (such as vibration, temperature, or acoustics) to detect changes that indicate developing faults and enable predictive maintenance.
A measure of how effectively a machine converts inputs (time, energy, materials) into useful output relative to its expected performance.
A general term describing the condition of equipment based on operating behavior, condition data, and observed degradation trends.
A subset of AI that uses data-driven models to detect patterns, identify anomalies, and support failure prediction from sensor and operational data.
The set of activities used to keep machinery operating safely and reliably, including inspection, lubrication, adjustment, repair, and replacement.
Direct communication between devices over wired or wireless networks to exchange data and trigger actions without human intervention.
The ease and speed with which an asset can be serviced or restored to operation, influenced by design, access, tooling, and standard procedures.
A reference list of common maintenance and reliability acronyms used in documentation, systems, and reporting to improve clarity and consistency.
A defined unit of maintenance work performed on an asset, such as inspection, lubrication, calibration, repair, or replacement.
A structured review of maintenance processes and performance to identify gaps, compliance issues, and improvement opportunities.
The total amount of identified maintenance work that has not yet been completed. Backlog size and age are commonly used to assess workload and planning effectiveness.
The comparison of maintenance practices and performance against peers or industry standards to identify gaps and improvement opportunities.
The planned financial allocation for maintenance work over a defined period, including labor, parts, services, and tooling.
A structured list of steps or inspections used to ensure maintenance tasks are completed consistently, safely, and thoroughly.
An agreement defining outsourced maintenance scope, service levels, response times, and commercial terms between an organization and a service provider.
The coordination and oversight of maintenance execution, including work order flow, scheduling, resource allocation, and compliance tracking.
The practices used to plan, track, and reduce maintenance spending without sacrificing safety, quality, or reliability.
The total costs associated with maintaining assets, including labor, parts, services, downtime-related impacts, and indirect overhead.
A visual interface that displays key maintenance metrics—such as work order status, downtime, backlog, and performance indicators—to support faster decision-making.
The evaluation of maintenance, work order, and condition data to identify trends, optimize strategies, and improve asset performance.
The records that capture maintenance procedures, work performed, outcomes, and evidence of compliance for training, planning, and analysis.
A measure of how well maintenance work achieves intended outcomes such as reduced downtime, improved reliability, and extended asset life.
The application of engineering methods to improve maintenance strategies, reduce failures, and optimize reliability, cost, and safety outcomes.
The recorded timeline of inspections, repairs, replacements, and interventions performed on an asset, used to support planning and reliability decisions.
A planned examination of equipment to identify wear, defects, or abnormal conditions before they result in failure.
The time or usage period between scheduled maintenance activities, defined by calendar, runtime, cycles, or condition triggers.
A tool or software used to track spare parts, tools, and materials needed for maintenance, supporting ordering, usage tracking, and availability.
Any identified equipment problem or abnormal condition requiring maintenance evaluation, correction, or follow-up action.
Metrics used to measure maintenance performance, such as downtime, MTBF, MTTR, schedule compliance, and work order completion rates.
A running record of maintenance actions performed on an asset, including dates, work completed, and outcomes.
The planning, coordination, and control of maintenance activities to maximize asset availability and reliability while minimizing cost and risk.
A document that provides instructions for maintaining and troubleshooting specific equipment, including procedures, specifications, and parts information.
The structured approach used to manage maintenance (e.g., preventive, predictive, condition-based, corrective) aligned to reliability and cost goals.
A defined outcome the maintenance function aims to achieve, such as improved uptime, lower cost, higher safety, or reduced risk.
The ongoing refinement of maintenance strategy, schedules, and workflows to improve reliability and reduce waste, downtime, and cost.
A documented approach outlining required maintenance activities, schedules, triggers, and resource needs for an asset or group of assets.
The role responsible for preparing work packages, coordinating resources, and ensuring maintenance jobs are ready to execute efficiently.
The process of defining what work will be done, how it will be done, and what resources are required before execution.
A formal statement defining an organization’s maintenance approach, principles, and responsibilities to guide strategy and decision-making.
Step-by-step instructions that standardize how specific maintenance tasks are performed safely, consistently, and effectively.
A measure of maintenance output relative to resources used (labor, time, materials), often improved through planning, kitting, and reduced delays.
A structured set of maintenance activities and strategies used to manage asset reliability over time.
The standard of workmanship and effectiveness of maintenance tasks, influencing reliability, safety, and repeat failures.
A documented account of maintenance work performed on an asset, used for compliance, planning, and reliability analysis.
A maintenance approach where components are replaced rather than repaired, often used when replacement is faster, safer, or more cost-effective.
The activities and resources required to repair, restore, or overhaul equipment to maintain performance and extend service life.
The collection and communication of maintenance results, including work completed, downtime, costs, and KPI performance.
The allocation of labor, tools, and materials to meet maintenance demand while minimizing disruption and downtime.
The identification and mitigation of risks related to equipment failure and maintenance execution, including safety, operational, and cost impacts.
A standard operating procedure defining the required steps and controls for maintenance tasks to ensure consistency and compliance.
The policies and practices that prevent injuries and incidents during maintenance work, including training, procedures, and hazard controls.
A time-based plan that sequences maintenance activities to align resources, production needs, and equipment availability.
A planned stoppage of operations to perform maintenance that cannot be completed while equipment is running.
The defined criteria that maintenance work must meet for quality, safety, performance, and compliance.
The chosen combination of maintenance approaches (preventive, predictive, condition-based, corrective) used to meet reliability, cost, and risk goals.
Tools and systems—such as sensors, diagnostics, automation, and software—used to improve maintenance detection, planning, and execution.
Structured learning that builds the skills required to perform maintenance safely, correctly, and effectively, including new tools and technologies.
The systematic process of identifying the cause of a problem, validating hypotheses, and restoring equipment to proper operation.
The oversight of external maintenance providers, including performance, cost, contract compliance, and service quality.
A predefined time-period when maintenance can be performed with minimal operational disruption.
The planning and coordination of maintenance staffing, skills, scheduling, and workload distribution to support execution goals.
A system that tracks and manages production operations in real time and can integrate with maintenance systems to coordinate downtime and performance.
A comprehensive inventory of major equipment and systems, typically including identifiers, location, and criticality, used to support planning, asset tracking, and analysis.
Safety documents that describe chemical hazards, handling requirements, protective measures, and first-aid guidance to support safe work and regulatory compliance.
The planning, procurement, storage, movement, and control of materials and spare parts to ensure availability while minimizing waste and cost.
The average time between successive failures of a repairable asset, used as a core reliability metric.
The average time between repairable events that require corrective action, used to assess reliability and maintenance performance.
The average time it takes to detect a fault or abnormal condition after it begins.
The average expected time to failure for non-repairable components, used to support lifecycle planning and replacement strategy.
A metric commonly used in IT and systems contexts describing the average time to restore service after an outage or incident.
The average time required to repair and restore an asset to operation after a failure, including diagnosis, preparation, repair, and verification.
A preventive maintenance approach where tasks are scheduled based on usage metrics—such as runtime hours, cycles, or miles—rather than calendar intervals.
Collected measurements from meters or sensors (such as runtime hours, pressure, temperature, or flow) used to track performance and trigger meter-based maintenance.
The use of mobile apps or interfaces to manage work orders, capture data, and access asset information in the field, improving speed and accuracy.
A planned change to equipment or systems to improve performance, efficiency, safety, or to meet new operating requirements, typically requiring documentation and validation.
A condition monitoring technique that analyzes motor current signals to detect electrical and mechanical issues such as rotor faults, imbalance, or load problems.
The materials, supplies, and activities required to keep equipment running, including spare parts, consumables, tools, and maintenance services.
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A maintenance planning approach where multiple preventive maintenance tasks are coordinated and performed together during a single maintenance window to reduce downtime and improve efficiency.
A class of machine learning models inspired by the human brain that analyze complex data patterns. In maintenance, neural networks are used to detect anomalies and predict failures from large sensor datasets.
A maintenance approach where no fixed maintenance intervals are defined and interventions are triggered by condition data, performance thresholds, or failures.
Inspection techniques used to evaluate materials or components without causing damage, such as ultrasonic, radiographic, magnetic particle, or eddy current testing.
The impacts of equipment failure that do not directly affect production, such as safety incidents, environmental violations, regulatory penalties, or reputational damage.
Describes components or assets that cannot be repaired economically or technically and must be replaced upon failure.
A part or material that is not routinely kept in inventory and is procured only when required for a specific maintenance activity.
Maintenance work that is not planned or scheduled in advance and arises from unexpected failures, abnormal conditions, or special operational needs.
The expected degradation of equipment over time due to regular operation, as opposed to damage caused by defects, misuse, or abnormal conditions.
The normal or expected operating state of equipment used as a baseline for detecting deviations, anomalies, or degradation.
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The condition in which equipment, parts, or technologies become outdated or unsupported, making maintenance difficult due to limited availability of spares, expertise, or compatibility.
Describes equipment, components, or technologies that are no longer produced, supported, or practical to maintain and often require replacement or retrofit.
The sampling and testing of lubricants to evaluate oil condition, contamination, and wear debris, providing early insight into machine health and lubrication effectiveness.
A maintenance task triggered when condition indicators reach predefined thresholds, rather than being performed on a fixed schedule.
A performance metric measuring whether goods, services, or materials are delivered by the promised date. In maintenance, OTD impacts downtime and schedule adherence.
The cumulative time equipment has been in operation, commonly used as an input for meterbased maintenance and reliability analysis.
A document provided by the manufacturer that outlines operating instructions, maintenance requirements, safety precautions, and specifications for equipment.
The direct impacts of equipment failure or maintenance actions on production, throughput, quality, cost, or safety.
The ability to achieve desired outputs with minimal waste, cost, and downtime, supported by reliable equipment and effective maintenance practices.
A broad measure of how well operations achieve targets for output, quality, cost, and delivery, strongly influenced by asset reliability.
The ability of equipment or systems to perform their required functions consistently under stated operating conditions without failure.
Hardware and software used to monitor and control physical processes and equipment, including PLCs, SCADA, and industrial control systems.
The combined activities required to operate equipment and maintain it in a reliable, safe, and efficient condition throughout its service life.
An individual responsible for running equipment and monitoring its basic performance during normal operation.
A maintenance approach where operators perform basic care tasks—such as cleaning, lubrication, and inspection—to detect issues early and support reliability.
The inventory level at which a new order should be placed to replenish stock before shortages occur.
The amount of material or parts ordered at one time, often optimized to balance availability, cost, and storage constraints.
The company that designs and manufactures original equipment or components, often providing specifications, parts, and maintenance guidance.
Safety training credentials earned through OSHA approved programs that validate knowledge of workplace hazards, safe practices, and regulatory compliance.
A period when equipment or systems are unavailable due to maintenance, repair, or failure. Outages may be planned or unplanned.
The practice of contracting external providers to perform maintenance work, often used to access specialized skills or manage workload variability.
A composite metric that measures manufacturing productivity by combining availability, performance, and quality.
A major maintenance activity involving disassembly, inspection, repair or replacement of components, and reassembly to restore equipment to optimal condition.
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A visual model showing the time between the point when a potential failure can first be detected (P) and when functional failure occurs (F), defining the window for proactive intervention.
A structured method for identifying potential process failures, their causes, and effects to reduce risk and improve reliability.
Unique identifiers assigned to components or materials to support accurate identification, ordering, tracking, and inventory management.
Software used to manage spare parts inventory, including tracking quantities, reorder points, suppliers, and usage to reduce downtime and improve efficiency.
The percentage of maintenance work that is planned and scheduled in advance rather than performed reactively, commonly used as a measure of maintenance maturity.
The gradual decline in equipment performance over time due to wear, operating conditions, or underlying faults.
Maintenance tasks performed at fixed time or usage intervals regardless of equipment condition.
A document listing the parts, tools, and materials required for a maintenance job, used to prepare work efficiently before execution.
Scheduled periods when equipment is taken offline for maintenance, upgrades, or inspections to minimize disruption to operations.
Maintenance activities that are scheduled in advance to prevent failures and sustain equipment performance, including preventive and predictive work.
The process of refining planned maintenance activities to improve effectiveness, reduce waste, and align work with reliability goals.
A metric representing the proportion of total maintenance work that is planned versus unplanned.
An identifiable condition indicating that an asset is deteriorating and likely to fail if no action is taken.
Maintenance practices performed with high accuracy—such as proper alignment, balancing, and torque control—to reduce wear and extend asset life.
The use of statistical models and machine learning to forecast future outcomes, such as equipment failures, based on historical and real-time data.
A maintenance strategy that uses condition data and analytics to detect developing faults and schedule maintenance before failure occurs.
Proven methods for implementing and sustaining predictive maintenance, including effective monitoring, analysis, communication, and continuous improvement.
The process of deploying predictive maintenance capabilities, including sensors, analytics, integration, and workforce enablement.
KPIs used to evaluate predictive maintenance effectiveness, such as MTBF improvement, downtime reduction, and cost avoidance.
Software platforms that analyze equipment data to predict failures, prioritize actions, and support maintenance planning.
The tools and systems—such as sensors, analytics, and AI—that enable predictive maintenance capabilities.
The application of statistical and analytical techniques to predict future equipment behavior and maintenance needs.
A numerical value generated by predictive models that indicates the likelihood or severity of a potential failure
An advanced maintenance approach that not only predicts failures but also recommends specific corrective actions.
Devices used to measure pressure in systems, supporting condition monitoring, safety, and early fault detection.
A method of verifying system integrity by applying pressure to identify leaks, weaknesses, or defects.
A time or usage-based maintenance strategy designed to reduce the likelihood of failure through regular servicing.
A maintenance philosophy focused on preventing failures by addressing root causes through predictive, preventive, and condition-based actions.
A quantitative method used to evaluate the likelihood and consequences of failure scenarios.
A risk-based approach for evaluating system safety by analyzing failure probabilities and consequences.
Integrated systems used to monitor and control industrial processes to ensure stable, safe, and efficient operation.
The systematic improvement of maintenance or operational processes to increase efficiency, reliability, and performance.
The ability of a process to consistently perform within defined parameters over time without disruption.
The process of sourcing and acquiring parts, materials, and services required to support maintenance activities.
The total costs associated with manufacturing, including the impacts of maintenance efficiency and downtime.
Periods when production is halted due to equipment failure, maintenance activities, or system disruptions.
A measure of how effectively a production system converts inputs into outputs, strongly influenced by equipment reliability.
The quantity of goods produced within a given period, which can be affected by maintenance performance and downtime.
The degree to which production resources are used effectively to generate output with minimal waste.
A discipline focused on assessing asset health, predicting remaining useful life, and supporting maintenance decisions.
An industrial computer used to automate and control machinery and processes in manufacturing environments.
A project planning tool used to schedule and manage complex maintenance or engineering projects.
Equipment designed to protect people and assets from hazards, such as safety valves, circuit breakers, and emergency stops.
The process of ensuring required parts, tools, and resources are available to support maintenance activities.
A formal document authorizing the purchase of parts, materials, or services for maintenance work.
An internal request used to initiate the procurement of parts or services before issuing a purchase order.
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A systematic approach that ensures maintenance activities are performed consistently and correctly by defining standards, procedures, and process controls to support asset reliability and performance.
A structured review of maintenance processes, records, and outcomes to verify compliance with quality standards and identify improvement opportunities.
The operational techniques used to verify maintenance work quality, including inspections, testing, and verification of completed tasks to prevent defects and rework.
A maintenance approach focused on preventing defects and failures by maintaining equipment in a condition that consistently produces quality output.
A performance metric that measures the percentage of output or work completed without defects, often used as part of broader operational or maintenance performance tracking.
A lean method used to reduce the time required to switch equipment from one task or product to another, supporting higher availability and operational efficiency.
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A framework used to evaluate and improve system performance by balancing reliability, uptime, maintainability, and safety requirements.
A benchmarking approach used to compare maintenance spending relative to asset value or operational context to identify under or overinvestment.
A financial metric that expresses the profitability of an investment as a percentage of its initial cost, often used to justify maintenance programs or asset upgrades.
The time between when a problem is detected or reported and when corrective action begins, impacting downtime and operational risk.
A maintenance strategy where work is performed only after equipment fails, often leading to higher unplanned downtime and cost.
The point at which equipment is verified and ready to return to service after maintenance, including checks for safety, performance, and quality.
The continuous capture and analysis of equipment or process data to detect abnormal conditions and support timely intervention.
A restoration method that disassembles equipment, inspects components, replaces or repairs worn parts, and reassembles to return the asset to a specified condition.
Changes made to equipment, components, or processes to improve reliability, safety, maintainability, or performance.
The use of backup components or parallel systems to maintain functionality if a primary component fails, improving availability and safety.
Restoring equipment or components to good working condition through cleaning, repair, and selective replacement without a full rebuild.
A statistical method used to identify relationships between variables, often applied to reliability or condition data to understand drivers of degradation.
A structured review to verify that maintenance practices, documentation, and equipment condition meet regulatory and safety requirements.
The evaluation of failure behavior and risk to understand reliability performance and guide maintenance and design decisions.
A structured approach for selecting the most effective maintenance tasks based on asset function, failure modes, and consequences.
The discipline focused on improving asset reliability through failure analysis, risk reduction, design feedback, and maintenance strategy optimization.
Metrics used to measure reliability outcomes, such as failure frequency, MTBF trends, or recurring fault rates.
An estimate of how long an asset or component can continue operating before it reaches failure or unacceptable risk.
The collection and review of equipment condition data from offsite locations to detect issues early and reduce onsite response time.
A field device that collects sensor signals and communicates data to control or monitoring systems, commonly used in distributed operations.
Energy generated from sources that naturally replenish, such as wind, solar, hydro, or biomass; often associated with unique maintenance and reliability needs for critical assets.
The inventory level at which replenishment should be initiated to avoid stockouts, considering lead time and demand.
The work required to restore equipment to operational condition after a fault, including parts replacement, correction, and verification testing.
Replacement components and materials required to complete a repair job and return equipment to service.
Software used to record, manage, and analyze repair events, including work history, costs, parts usage, and repeat failures.
Describes equipment or components that can be restored to working condition through repair rather than replacement.
A spare component that can be repaired or refurbished after failure and returned to service, reducing life cycle cost and waste.
A component designed to be swapped out rather than repaired, often used to reduce downtime or simplify maintenance execution.
The process of returning equipment to its required operating condition after degradation or failure through repair, replacement, calibration, or reconfiguration.
A financial ratio measuring how efficiently a company uses its assets to generate profit, often influenced by asset reliability and utilization.
A financial ratio measuring profit generation relative to fixed assets, influenced by uptime, throughput, and maintenance effectiveness.
A metric that compares benefits gained to costs invested, commonly used to justify maintenance technology, staffing, or reliability programs.
A productivity metric that estimates revenue generated per employee; improved reliability and uptime can influence this measure indirectly.
A quality principle focused on completing maintenance work correctly on the first attempt to minimize rework, repeat failures, and wasted time.
The likelihood and impact of negative outcomes from failures, unsafe conditions, or maintenance execution issues.
A strategy that prioritizes maintenance based on failure probability and consequence, focusing resources where risk is highest.
The inspection, servicing, and repair of robotic systems—including mechanical, electrical, and software elements—to ensure accuracy, uptime, and safety.
A structured problem-solving method used to identify the underlying cause of failures so corrective actions prevent recurrence.
A repairable component or assembly that is removed, repaired offsite or in a shop, and returned to inventory for reuse.
Regular, scheduled maintenance activities such as inspection, cleaning, lubrication, and minor adjustments performed to preserve equipment condition.
A strategy where equipment is intentionally allowed to operate until failure, typically used for lowcriticality assets where consequences are acceptable.
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A cloud-based software delivery model where applications are accessed via the internet rather than installed locally, enabling scalable, real time access to maintenance systems with reduced IT overhead.
The potential impacts of equipment failure or maintenance errors on personnel safety, including injury, exposure, or loss of life.
The policies, procedures, and practices used to prevent accidents and injuries during maintenance and operations, including training, risk assessment, and regulatory compliance.
The ability of systems and processes to operate without creating unsafe conditions, often considered alongside operational reliability in critical environments.
Extra inventory held to protect against uncertainty in demand, lead time, or supply disruptions, helping prevent maintenance delays.
An integrated management approach addressing workplace safety, employee health, and environmental protection to ensure compliance and risk reduction.
The recovery and reuse of parts or materials from decommissioned or failed equipment to reduce waste and recover residual value.
A metric that measures how closely maintenance work is completed according to the planned schedule, reflecting planning and execution effectiveness.
A planned maintenance activity that removes and disposes of components at predefined intervals to prevent failure.
Maintenance work performed according to a predetermined schedule based on time, usage, or condition to prevent failures and sustain performance.
The total time equipment is planned to be available for operation, used as a baseline for availability and utilization metrics.
A planned activity to restore equipment condition or performance at defined intervals.
A work order generated in advance for planned maintenance activities.
The process of defining the boundaries, tasks, resources, and objectives of maintenance work before execution.
The percentage of materials or components discarded due to defects, damage, or inefficiency, often influenced by equipment condition and maintenance quality.
Additional damage that occurs as a result of an initial failure, often increasing repair cost and downtime.
A non-primary function of equipment that may still impact safety, quality, or operations if it fails.
A formal review of systems, controls, and practices to ensure protection of data, assets, and infrastructure from unauthorized access or threats.
The evaluation of data collected from sensors to detect anomalies, trends, and early indicators of equipment degradation.
The integration of data from multiple sensor types to produce more accurate and reliable insights into equipment condition.
Devices that measure physical parameters such as vibration, temperature, pressure, or current to support monitoring and maintenance decisions.
A unique identifier assigned to an individual asset or component to support tracking, history, and traceability.
An agreement that defines maintenance services provided by an external vendor, including scope, performance expectations, and cost.
A contractually defined performance standard specifying response times, availability, and service quality requirements.
A formal request for maintenance work, inspection, or support, often initiating the work order process.
Routine maintenance activities such as cleaning, lubrication, adjustment, or inspection performed to keep equipment operating correctly.
The maximum period a material or spare part can be stored before it degrades or becomes unusable.
A continuous improvement model—Plan, Do, Check, Act—used to test changes, measure results, and standardize improvements.
Frequently used maintenance materials or parts stored near the point of use for quick access.
A planned stoppage of operations to perform maintenance or inspections that cannot be completed while equipment is running.
Maintenance work performed during a planned shutdown to address major tasks efficiently and safely.
The electronic recording of approval or confirmation, often used to validate completed maintenance work.
An authentication method allowing users to access multiple systems with one set of credentials.
A lean technique used to reduce changeover time, improving equipment availability.
A data driven methodology focused on reducing process variation and defects to improve quality and performance.
The use of digital technologies such as IoT, analytics, and automation to optimize manufacturing and maintenance processes.
The ability of software systems to perform consistently without failure over time, supporting stable maintenance operations.
Replacement components kept on hand to restore equipment quickly after failure.
The stock of spare components managed to support maintenance activities and minimize downtime.
The planning and control of spare parts to balance availability, cost, and storage constraints.
Onetime or unplanned purchases of parts or materials, often made to address urgent maintenance needs.
A predefined maintenance task with documented steps, tools, parts, and time estimates to ensure consistent execution.
Documented instructions that define how maintenance tasks should be performed safely and consistently.
Equipment or systems kept ready for use but not actively operating, often used for redundancy or backup.
A recurring work order used for routine or repetitive maintenance tasks.
The use of mathematical techniques to interpret data, identify trends, and support maintenance decisions.
A method of monitoring process performance using statistical tools to detect variation and prevent defects.
Parts or materials routinely kept in inventory due to frequent use.
A unique identifier used to track inventory items for ordering and management.
A catalog or inventory identifier assigned to parts or materials.
A situation where required inventory is unavailable, potentially delaying maintenance work.
An internal request for parts or materials from inventory to support maintenance tasks.
A machine learning method where models are trained using labeled data, commonly used in fault classification and prediction.
Systems used to monitor and control industrial processes through centralized data collection and control interfaces.
The coordination of sourcing, procurement, logistics, and inventory to support maintenance and operations.
The ability of the supply chain to consistently deliver required parts and materials without disruption.
Tools, devices, or auxiliary systems required to perform maintenance or operate primary assets safely.
A measure of how widely and effectively a maintenance system or technology is used by the organization.
The ability of an entire system—including hardware, software, and processes—to perform its intended function without failure over time.
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Software used to assign, schedule, and dispatch maintenance technicians based on skills, availability, and job priority to improve efficiency and response time.
Devices that measure equipment or process temperature to detect overheating, inefficiencies, or early signs of failure.
A lifecycle-based approach to asset management that integrates engineering, finance, and maintenance to optimize cost, performance, and reliability over an asset’s life.
A management philosophy that focuses on identifying and improving the most limiting factor in a system to increase throughput and overall performance.
The use of infrared cameras to visualize temperature differences and identify issues such as electrical faults, insulation failures, or overheating components.
The continuous or periodic tracking of temperature data to detect abnormal conditions and support predictive maintenance.
A diagnostic technique that uses infrared imaging to identify temperaturerelated anomalies in equipment and systems.
The rate at which a system produces output over a given period, strongly influenced by equipment availability and reliability.
A maintenance approach where failed components are discarded and replaced rather than repaired, often used for lowcost or nonrepairable items.
A data analysis method that evaluates measurements over time to identify trends, cycles, or anomalies in equipment behavior.
An analysis technique used to measure how long tasks take to complete, often applied to maintenance work to improve planning and efficiency.
A preventive maintenance strategy where tasks are performed at fixed time intervals rather than based on equipment condition or usage.
The process of monitoring the location, usage, and condition of tools to reduce loss, improve availability, and support efficient maintenance execution.
A holistic approach to managing assets across their entire lifecycle to maximize value, reliability, and return on investment.
The total cost associated with an asset over its lifecycle, including acquisition, operation, maintenance, and disposal.
A maintenance philosophy that engages all employees in proactive maintenance to improve equipment effectiveness and eliminate losses.
The study of friction, wear, and lubrication, providing the foundation for effective lubrication and wear reduction strategies.
The systematic process of diagnosing and resolving equipment problems to restore proper operation.
The total time required to complete maintenance work or restore equipment to service after a fault or shutdown.
A measure of how frequently assets, inventory, or personnel are replaced or cycled, often used in operational and inventory performance analysis.
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Safety and performance standards developed by Underwriters Laboratories to ensure equipment and components meet recognized safety requirements.
A nondestructive testing technique that uses high-frequency sound waves to detect internal defects, material thickness changes, or structural flaws.
A system of assigning unique identifiers to assets or components to enable accurate tracking, history, and lifecycle management.
The cost associated with maintaining, operating, or producing a single unit, often used to evaluate maintenance efficiency and financial performance.
Standardized maintenance guidelines and practices designed to ensure consistency, quality, and reliability across assets and facilities.
Unexpected periods when equipment or operations stop due to failures or malfunctions, often resulting in significant operational and financial impact.
Maintenance work that is not scheduled in advance and occurs in response to unexpected failures or issues.
Maintenance activities initiated outside the planned schedule, often used interchangeably with unplanned maintenance.
A machine learning approach that identifies patterns or anomalies in data without labeled outcomes, commonly used for anomaly detection in condition monitoring.
The amount of time equipment or systems are operational and available for use, commonly expressed as a percentage of scheduled operating time.
The application of maintenance strategies, technologies, and process improvements to increase asset availability and reduce downtime.
A maintenance strategy where tasks are triggered by actual usage metrics such as operating hours, cycles, or mileage rather than fixed time intervals.
The expected period during which an asset can perform its intended function effectively before replacement or major overhaul is required.
A measure of how much available equipment capacity is actually being used, often used alongside availability and efficiency metrics.
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A manufacturing approach that ensures processes consistently produce products meeting predefined quality and regulatory requirements through documented verification and validation.
A systematic method for improving value by optimizing function while reducing cost, risk, or complexity, often applied to maintenance strategies and asset design.
The full sequence of activities required to deliver a product or service, including maintenance and support processes that impact flow and efficiency.
The comparison of actual performance or costs against planned or expected values to identify deviations and improvement opportunities.
An inventory management approach where suppliers are responsible for monitoring and replenishing parts or materials based on agreedupon levels.
A condition monitoring technique that detects and diagnoses mechanical faults by analyzing vibration patterns, supporting early fault detection and predictive maintenance.
The continuous or periodic measurement of machine vibration levels to identify abnormal behavior and track degradation over time.
A device used to measure vibration signals from equipment, providing data for condition monitoring and fault detection.
The use of visual cues—such as charts, indicators, or dashboards—to communicate status, performance, and issues quickly and clearly.
The examination of equipment, components, or outputs using visual methods to identify defects, wear, or abnormal conditions.
A device that measures electrical voltage to detect abnormalities such as phase imbalance, overvoltage, or electrical faults.
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The use of automated systems—such as conveyors, robots, and software—to improve accuracy, speed, and efficiency in warehouse operations supporting maintenance and production.
The planning and execution of material movement, storage, and handling within a warehouse to support maintenance and operational needs.
Structural systems used to store materials and spare parts safely and efficiently within a warehouse or storeroom.
Non-value adding activities, materials, or effort that consume resources without improving output, often targeted for elimination in lean maintenance.
A condition monitoring technique that examines particles in lubricants to assess component wear, identify abnormal patterns, and predict failures.
A computerized maintenance management system accessed through a web browser that enables remote work order management, asset tracking, scheduling, and analytics.
An online seminar or training session used to share maintenance knowledge, best practices, or product information.
The use of technology, automation, or decision support tools to enhance human maintenance work rather than replace it.
A formal request and record for maintenance work that includes task details, priority, location, resources, and completion documentation.
The confirmation that maintenance work has been executed, verified, and documented according to requirements.
The process of creating, tracking, prioritizing, executing, and closing work orders to control maintenance activities.
The practice of improving planning, scoping, and execution to reduce safety, quality, and operational risk associated with maintenance work.
Software that sequences and assigns work orders based on priority, resources, and availability to improve efficiency.
An initial request submitted to identify a maintenance need, often serving as the trigger for work order creation.
The defined sequence of steps through which maintenance work progresses, from request to completion.
The total volume of maintenance work assigned or pending, often used for capacity planning and resource allocation.
The practices and conditions that protect employees from hazards during maintenance and operations.
The portion of a technician’s shift spent performing handson maintenance work, used as a key productivity indicator.
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A nondestructive testing (NDT) method, also known as radiographic testing, used to inspect the internal structure of materials and components without causing damage. In maintenance, Xray testing helps detect hidden defects such as cracks, voids, or inclusions, enabling corrective action before failures occur and improving asset reliability.
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The proportion of products produced correctly without defects compared to total output. High yield indicates effective processes and well-maintained equipment, while low yield often signals maintenance, process, or quality issues.
Efforts and practices aimed at increasing the percentage of defect-free output by improving equipment reliability, process stability, and maintenance effectiveness.
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A quality philosophy focused on preventing errors rather than correcting them, emphasizing process control, proper maintenance, and consistent execution.
An operational goal aimed at eliminating unexpected equipment failures through proactive, predictive, and condition-based maintenance strategies.
A manufacturing approach focused on eliminating waste through efficient processes, resource optimization, reuse, and recycling. Effective maintenance supports zero waste goals by ensuring equipment operates efficiently and reliably.
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