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Opportunistic Maintenance Integrated Model for a Two-stage Manufacturing Process by Hasan Rasay; Farnoosh Naderkhani; Fariba Azizi is a Engineering article available to read on EtoBox.

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It is widely recognized that there exists a close relationship between the health condition of manufacturing equipment and the overall quality of the manufactured product. It is, therefore, vital and of paramount practical importance and theoretical significance to develop optimized/integrated models of statistical process control (SPC) and maintenance planning (MP). The paper targets integration of the decisions of MP and SPC for a two-stage dependent manufacturing process. Each stage of the process can either be in the "in-control" state or in the "out-of-control" state such that transitions occur due to manufacturing equipment degradation/failure. Four control charts are developed to monitor the process by formulating the problem based on the renewal theory and considering different potential scenarios. Based on the intuitively appealing concept of opportunistic maintenance, we develop a novel integrated SPC and MP framework referred to as the Opportunistic Maintenance Integrated Model (OMIM), which takes into account both process and equipment conditions. A genetic algorithm (GA) is then applied to find the optimal values of the decision variables minimizing the long-run expect

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Author

Hasan Rasay; Farnoosh Naderkhani; Fariba Azizi

Publisher

Springer Science and Business Media LLC

Published

2022

Language

EN

Field

Engineering (Physical Sciences)