| Summary: | 碩士 === 國立臺灣大學 === 工業工程學研究所 === 105 === This study uses machine health information to develop an efficient dynamic dispatching and preventive maintenance policy for inequivalent parallel machines. Inequivalent parallel machines have similar function and can process the same group of products, but the production rates could be different. In many industries, the difference of production rates between inequivalent machines is caused by deterioration of machines over time. When production rates are different among inequivalent machines between different products, a proper dispatching strategy is critical for reducing production cycle. In addition, this study also integrates preventive maintenance policy into dynamic dispatching model so as to save more waiting cost.
The Dynamic Dispatching with Preventive Maintenance Model (DDPM Model) is developed and formulated with stochastic dynamic programming. The model objective is to minimize the total waiting cost. Finally, the discrete event simulation is used to verify the DDPM model of two-product and two-machine system. Compared with several traditional dispatching rules, DDPM can effectively increase average production rate and also decrease total waiting cost.
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