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Home > Case Studies > Transforming Commercial Laundry Operations Through Predictive Maintenance

Transforming Commercial Laundry Operations Through Predictive Maintenance

Conveyors Dryers Motors Presses Pumps Washers
VIEW CASE STUDY
A CASE STUDY WITH TEXAS MEDICAL CENTER HOSPITAL LAUNDRY
COMMERCIAL LAUNDRY PLAYBOOK

Executive Summary

Commercial laundry operations face a constant balancing act: maximizing throughput while minimizing downtime, labor strain, and unplanned failures on complex, continuously operating equipment. Texas Medical Center (TMC) Laundry, one of the largest healthcare laundry facilities in the region, was experiencing unplanned failures across critical assets that directly impacted production lines, turnaround times, and labor efficiency.

To address these challenges, TMC Laundry partnered with KCF Technologies to deploy the SMARTdiagnostics® Machine Health Platform, beginning with a 90-day pilot focused on continuous vibration monitoring, guided diagnostics, and structured maintenance execution.

In just three months, TMC Laundry prevented 28 hours of unplanned downtime and established a repeatable maintenance workflow that ultimately reshaped how labor, planning, and capital investment decisions were made across the facility.

hospital laundry facility with washing machines
01
The Challenge

TMC Laundry operates multiple high-throughput production lines where unplanned downtime creates cascading impacts across the entire facility. Equipment failures on conveyors, tunnel washer pumps, presses, dryers, and motors resulted in:

Delayed processing and throughput constraints
Reactive, off-hours maintenance work
Inefficient use of skilled technicians
Limited visibility into emerging failure modes
Like many commercial laundry operations, unplanned downtime on critical laundry assets was managed reactively, with little advance warning of impending failures. When an unexpected outage occurred on one line, operators were often forced to increase throughput on remaining lines to maintain production targets. This reactive response placed additional stress on already aging or heavily utilized equipment, increasing the risk of secondary failures, accelerating wear, and compounding downtime across the facility. Without continuous visibility into asset health, maintenance decisions were largely time- or failure-based, limiting the ability to balance production demands with long-term asset reliability.
02
The Solution

SMARTdiagnostics® Pilot Deployment

KCF Technologies deployed a plant-wide monitoring pilot designed to deliver actionable insights quickly while integrating into the team’s daily workflow.

1
81 Wireless Vibration Sensors Deployed Across Critical Assets, Including: Soil sort conveyors; Production Lines 1 and 3 (conveyors, presses, dryers, tunnel washer motors and pumps); Lint collectors, ironers, blanket stations, and finished conveyor motors.
2
5 Base Stations Installed
The pilot combined real-time condition monitoring with SMARTdiagnostics Desk, KCF’s collaborative diagnostics and workflow platform that enables teams to track insights, prioritize work, and document results in one system.
Results

90 Day Pilot Results

Quantified ROI & Operational Impact

28 total machine health insights generated
Icon for savings or money.
$5,100
Direct Cost Avoidance of prevented catastrophic failures
Icon for time.
28 hours
Downtime Avoided | ~ $14,000 impact
Icon for analytics.
471.88%
Annualized ROI Projection
Icon for improving.
15
Closed tickets
Icon for improving.
13
Open tickets pending scheduled maintenance
Adoption and Leadership

The Real Differentiator

While the technology delivered immediate value, TMC Laundry’s leadership was the true accelerator:

  • The General Manager and Chief Engineer championed the system from the top down
  • Maintenance teams fully embraced the platform as a daily decision-making tool
  • Technicians used insights to:
    • Focus first on “low-hanging fruit” that were blind spots as to areas of immediate concern
    • Eliminate chronic issues
    • Transition from reactive firefighting to planned execution

With this approach, the team was able to follow prioritized insights that directed attention to the assets that mattered most, reducing wasted effort and increasing confidence in maintenance decisions.

From Reactive Maintenance to Strategic Operations

As the system matured beyond the initial pilot, TMC Laundry experienced a fundamental shift in how maintenance and labor were managed:

  • Maintenance work increasingly became planned and scheduled
  • Emergency call-ins and middle-of-the-night repairs declined
  • Heatmaps and historical trends enabled early parts ordering and smarter PM execution
  • Skilled technicians spent less time reacting—and more time preventing failures

Over time, this visibility allowed leadership to:
Move top performers from hourly to salaried roles; Reduce reliance on reactive labor; Retain skilled technicians who saw clear value in the system.

Long-Term Business Impact

With unplanned downtime reduced and labor stabilized, TMC Laundry unlocked additional downstream benefits:

  • Improved cash flow from avoided failures and labor efficiency
  • Increased confidence in capital planning
  • Ability to reinvest in newer, more reliable equipment capable of higher throughput
  • A maintenance organization aligned with business outcomes and not just wrench time

The result was not just improved uptime, but a more resilient, scalable operation.

The TMC Laundry pilot illustrates what is possible when advanced machine health technology is paired with strong leadership and a willingness to embrace change. In just 90 days, TMC Laundry proved that predictive maintenance can deliver measurable ROI, operational stability, and long-term strategic value.

Request a demo

Want to eliminate unplanned downtime and extend the lifespan of your critical assets?
Contact us to see how our comprehensive, AI-driven predictive maintenance platform can optimize your operations.

Book Demo

336 S. Fraser Street
State College, PA 16801

+1 (814) 867-4097
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