Abstract
Developing an effective scheduled maintenance program requires a profound awareness of risk tolerance, dominant failure modes, failure symptoms, diagnostic methods, and work practices. Effective PM task selection is hard work. Identifying applicable and effective tasks quickly and consistently for critical equipment is the first step towards reliable, cost-effective operations. Automating the PM task selection process by using relational database software removes developmental ambiguity, which speeds up analysis, but poses practical problems. Preventive maintenance (PM) work order development can be standardized and automated to achieve this objective.
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