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CASE STUDY
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CASE STUDY IRIS® INSIGHT ENHANCES PRODUCTIVITY AT THE UNIVERSITY OF WASHINGTON BACKGROUND The University of Washington (UW) is one the world’s preeminent public universities and also one of the oldest on the West Coast. The university’s historic and beautiful main campus in Seattle includes approximately 200 buildings covering nearly 13 million gross square feet of the academic, research and administrative spaces. The UW Building Services department is tasked with keeping these buildings looking their best and creating a healthy environment for more than 45,870 students and 20,000 staff. PROBLEM As the UW Building Services department worked to meet internal goals for usage of its floor cleaning equipment, the shortcomings of its manual process for recording and monitoring machine usage became evident. Operators logged hours periodically—an error-prone method that failed to provide reliable, up-to-date visibility on machine usage and cleaning performance. This lack of visibility also made it difficult to ensure proper, planned maintenance was being performed on equipment. The department sought a solution to deliver dependable, near-real-time metrics on machine usage to help increase machine usage, optimize machine deployment and maximize the ROI derived from their Tennant floor cleaning equipment. “We know that Tennant machines are effective and do a great job of cleaning the floors. But now IRIS gives us objective data to help us increase machine usage and maximize our ROI for the equipment.” — ENE WOODARD, DIRECTOR OF BUILDING SERVICES, G UNIVERSITY OF

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SOLUTION As a pilot program, the UW Building Services department deployed the IRIS® Asset Manager solution on seven Tennant floor scrubbers—four T300 machines and three T7 machines. “We discovered a gap with the data IRIS provided,” said Gene Woodard, director of building services at UW. IRIS machine usage data revealed the machines were being used fewer hours than expected—and that machine usage varied widely by building. Battery charging data also showed that operators were not optimally charging batteries, thereby decreasing machine uptime and total battery life. RESULTS “We’re a very...

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