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• W2206688753 abstract "Performance of a production system significantly depends upon the effective planning of its shop floor level operations like, production scheduling, maintenance and quality control. These three functions have an interaction effect on each other; hence a combined operational policy of these functions can improve the system performance. The objective of this paper is to develop a methodology for optimizing maintenance and quality plan with the constraint on schedule, availability, repair time and detection time, for a single machine. The approach includes the selective maintenance and a sampling procedure based on the economic design principle. Cost models developed for the problem at hand are presented along with their detailed explanation. Two solution methodologies namely, Simulated Annealing (SA) and Genetic Algorithm (GA) are used for obtaining the near optimal solution. A computational experiment to compare the performance of SA and GA is presented. Results indicate a better performance of the proposed approach over the conventional approach of independent planning." @default.
• W2206688753 created "2016-06-24" @default.
• W2206688753 creator A5052114189 @default.
• W2206688753 creator A5086537336 @default.
• W2206688753 date "2015-10-01" @default.
• W2206688753 modified "2023-10-02" @default.
• W2206688753 title "A superimposition based approach for maintenance and quality plan optimization with production schedule, availability, repair time and detection time constraints for a single machine" @default.
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• W2206688753 doi "https://doi.org/10.1016/j.jmsy.2015.09.009" @default.
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