"Plant management knows it needs to be done. They know it's not being done. But they're still not doing it." ABB's Steve Murray explored the potential for industry to dramatically improve manufacturing performance with just a bit of forethought.The ABB team analyzed the situation and ultimately made some simple recommendations, including indexing the fold section regularly to calibrate timing; every 24 hours cleaning the fold section and the sensors, which collect dirt and dust from the cardboard; and inspecting various machine parts for wear. "This was a PM that was getting done, but it wasn't being done properly," Murray said. "We added details on how to do the work."
"This was all really simple stuff; nothing really jumps out," Murray added, noting that in some cases workers simply were not properly skilled or trained. "A lot of these jobs are simple like this. Plant management knows it needs to be done. They know it's not being done. But they're still not doing it."
But taking these steps pays off in the end. In the case packer situation, after ABB's recommendations were implemented, the number of cases increased by 32,000 per year, putting $224,000 more revenue in the company's pocket. In addition, maintenance took less time, lowering the maintenance cost per case.
"Everything that we do with reliability in industry has to have a dollar value. Otherwise there's no point in doing it," Murray said, excepting employee safety and the environment aspects.
Another often neglected measure is the relationship between overall equipment effectiveness (OEE) and profitability. In a pulp and paper mill, OEE was analyzed at 60%, and the mill's profit was about $11.3 million. By raising the performance of OEE's three components—availability, performance and quality yield—by just a few percentage points, and raising overall OEE to 70%, profit nearly doubled, to more than $20.6 million.
This kind of improvement is more important now than ever. "A lot of industries, especially in the U.S., are downsizing or moving operations overseas," Murray said. "They're reducing the number of plants, so the existing plants have to be able to produce more." This scenario makes machine availability a significant factor, he added.
Failures occur for a number of reasons, including environmental, maintenance and operations errors, overstress on the machines, poor design, temperature, variations, and wear over time. "In automotive and all industries we go to, errors are one of the biggest problems," Murray noted. The automotive industry also saw more than its share of failures in the late 1980s because of poor design of robots, which were being hydraulically operated. The food industry is often plagued with small, high-frequency type failures, he added.
Managing failures requires developing an asset hierarchy, and evaluating each level of the hierarchy, Murray said. His team tries to push preventive maintenance in order to start catching potential failures before they become catastrophic. But that doesn't mean that procedures have to be implemented for every component of every machine. "One of the things we always stress is you can't cover every asset in your plant," Murray said. "So what you have to do is focus your attention on the heaviest hitters; the ones that will hurt you the most." He added later, "There's always a financial or safety reason why we're doing something. If it doesn't pan out, we generally leave it."
Ultimately, though, failures really shouldn't happen at all, according to Murray. "Unacceptable failures are the result of unmanaged risks," he said. "Most failures can be prevented or at least mitigated."