Maintenance Technology August 2016 - (Page 8)

ON THE FLOOR An outlet for the views of today's maintenance & reliability professionals Equipment-Performance Data: Challenges and Payback Jane Alexander Managing Editor T he IIoT (Industrial Internet of Things) is literally running most of our homes and businesses these days. Or, more precisely, is said to be helping us run them better. So, how does all that equipment-performance data work for you? That's the focus of this month's MT Reader Panelist discussion. We asked three questions: 1. What's the biggest challenge with equipmentperformance data at their respective sites (or, if they are consultants or industry suppliers, at their client/customer sites) and why (and what could improve the situation)? 2. What's the best source of reliable equipmentperformance data at these sites and why? 3. Have the sites been able to connect equipmentperformance data to business goals, i.e., profit-loss, revenue, cost/unit produced, among others), and if so, what does it show? Edited for clarity and space, here's what we learned from several respondents: 'Without staffing resources to pull reports and analyze trends, it's almost pointless to have such an abundance of data.' Maintenance Superintendent, Utilities West. . . My site's biggest challenge with equipmentperformance data is the lack of it. We have minimal online-monitoring equipment and our data is a result of portable analyzing equipment that really only captures a small snapshot in time. The biggest challenge to improvement is capital cost associated with installation and commissioning of the equipment necessary for continuous data gathering. Another problem is what to do with the large amounts of data generated by continuous online-monitoring equipment. Without staffing resources to pull reports and analyze trends, it's 8| MAINTENANCE TECHNOLOGY almost pointless to have such an abundance of data. Our best source of reliable data is a small team of reliability and maintenance technicians performing predictive tasks, i.e., obtaining and analyzing the data and initiating corrective-maintenance work orders. They take this snapshot in time with the intention of identifying a potential failure and mitigating it before a full functional failure of the asset. At this time, it's difficult to connect the data to business goals because we lack useful information. The plant has operated for many years, but we really only have about 18 months of useful CMMS data since updating the system. I can say that from the minimal amount of available data, I can draft improvement strategies for specific areas such as PM compliance, but not equipment-performance specific. Industry Consultant, Central America. . . My clients' biggest data challenges are standardizing it and establishing a culture to capture/use it correctly in KPIs and automating capture and storage of it from PLC, PIMS, SCADA, plant-floor control, and other systems.Their main sources of data include CMMS, Quality and Operations, or ERP systems. Some use Excel spreadsheets or books with information. In some cases, control panels in the plants' main equipment provide information, but not all of it can be analyzed for making decisions. Some KPIs are always calculated, but not always aligned among processes. The mature organizations have dashboards for tracking KPIs. Others mostly use Excel spreadsheets to calculate and present the information. PdM Tech, Process Mfg., Southeast. . . We don't have a specific program in place. Most of our data is in an Excel spreadsheet and what's stored in the vibration-analysis program. I keep an Excel spreadsheet with information that's seen by management. We haven't aligned this data with business goals. AUGUST 2016

Table of Contents for the Digital Edition of Maintenance Technology August 2016

On The Floor
Accepting The Challenge
Advanced Software In The Jungle
Put Efficiency in MRO Storerooms
Rethink Overall Vibration Monitoring
Reliable Pumping Supplement
Practical Oil Analysis: Why and What For?
SAP Tips and Tricks
Maximize Ethernet
Compressed Air Care
Nurture STEM Learning
Heed Drive-Belt Temps
Internet of Things
ISO 55000
Ad Index
Final Thought

Maintenance Technology August 2016