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Computerized Maintenance Management Systems (CMMS): The Evolution of a Maintenance Management Program
Published in Barney L. Capehart, Lynne C. Capehart, Paul J. Allen, David C. Green, Web Based Energy Information and Control Systems:, 2021
A technology-driven predictive maintenance program can not only decrease maintenance costs but, more importantly, improve operational availability and efficiency, thereby potentially enabling a client to achieve significant financial improvements to the bottom line. An added bonus is that the plant or facility becomes safer because required maintenance is performed on schedule. But the greatest potential utility of CMMS is its data storage capability related to all equipment operating and maintenance functions. For example, optimal use of a CMMS can alert an organization to under-performing or high-operating-cost equipment. It can highlight labor inefficiencies and can provide essential data for Root Cause Failure Analysis to eliminate chronic equipment failures. With this type of information at hand, plant and facility management can make better, more accurate data-driven decisions.
Robustness in design
Published in Derek Clements-Croome, Intelligent Buildings, 2013
The underlying principle of whole-life performance, reliant on the understanding and approach outlined above, is the management of the risk of premature, or indeterminate, failure. The failure of a component, element or system affects operational availability. In particular, the causal effect of failure has to be determined, such that design and manufacturing processes can be modified to eliminate or significantly reduce the impact from such failures.
Computerized Maintenance Management Systems (CMMS): The Evolution of a Maintenance Management Program
Published in Barney L. Capehart, Timothy Middelkoop, Paul J. Allen, David C. Green, Handbook of Web Based Energy Information and Control Systems, 2020
Studies have shown that optimized reliability and maintenance programs can increase operational availability up to 10%, decrease maintenance costs by 10-20%, and reduce both the number and severity of unplanned process interruptions. [4]
ITER Framework for RAMI Engineering
Published in Fusion Science and Technology, 2019
There are three ways to improve the operational availability: to increase the reliability, i.e., to increase MTTF; to improve the maintainability, i.e., to decrease MTTR; and/or to decrease the planned downtime. Even if the predictions of failure rate and time to repair are very rough, particularly for novel systems operating in a new environment, it will always be beneficial to set RAMI requirements and to propose design improvements bringing functions that have better reliability to converge toward the requirements. However, reliability improvement has its limitations from the technology and costs that can be compensated by a redundancy of an unreliable function (the cost is often less costly than a few percent of the component reliability improvement), a maintainability increase (spare parts and better accessibility), and an optimization of the preventive maintenance.