Page 18 - Intro Predictive Maintenance
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Impact of Maintenance     9

            The production input is the unit of product being fed into the process or production
            cycle. The quality defects are the amount of product that is below quality standards
            (not rejected; there is a difference) after the process or production cycle is finished.
            The formula is useful in spotting production-quality problems, even when the cus-
            tomer accepts the poor-quality product. The goal for Japanese companies is higher
            than 99 percent.

            Combining the total for the Japanese goals, it is seen that:
                                   90% ¥ 95% ¥ 99% = 85%

            To be able to compete for the national TPM prize in Japan, equipment effectiveness
            must be greater than 85 percent. Unfortunately, equipment effectiveness in most U.S.
            companies barely breaks 50 percent—little wonder that there is so much room for
            improvement in typical equipment maintenance management programs.

            Reliability-Centered Maintenance
            A basic premise of RCM is that all machines must fail and have a finite useful life,
            but neither of these assumptions is valid. If machinery and plant systems are properly
            designed, installed, operated, and maintained, they will not fail, and their useful life
            is almost infinite. Few, if any, catastrophic failures are random, and some outside influ-
            ence, such as operator error or improper repair, causes all failures. With the exception
            of instantaneous failures caused by gross operator error or a totally abnormal outside
            influence, the operating dynamics analysis methodology can detect, isolate, and
            prevent system failures.

            Because RCM is predicated on the belief that all machines will degrade and fail
            (P-F curve), most of the tasks, such as failure modes and effects analysis (FMEA) and
            Weibull distribution analysis, are used to anticipate when these failures will occur.
            Both of the theoretical methods are based on probability tables that assume proper
            design, installation, operation, and maintenance of plant machinery. Neither is able to
            adjust for abnormal deviations in any of these categories.

            When the RCM approach was first developed in the 1960s, most production engineers
            believed that machinery had a finite life and required periodic major rebuilding to
            maintain acceptable levels of reliability. In his book Reliability-Centered Maintenance
            (1992), John Moubray states:

                     The traditional approach to scheduled maintenance programs was based on
                     the concept that every item on a piece of complex equipment has a right
                     age at which complete overhaul is necessary to ensure safety and operat-
                     ing reliability. Through the years, however, it was discovered that many
                     types of failures could not be prevented or effectively reduced by such
                     maintenance activities, no matter how intensively they were performed. In
                     response to this problem, airplane designers began to develop design
                     features that mitigated failure consequences—that is, they learned how to
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