| Summary: | 碩士 === 中原大學 === 工業與系統工程研究所 === 100 === In recent years, along with the booming development of high-tech industry and the change of customer purchasing style, product life cycles are getting shorter and shorter, which makes manufacturing processes should be updated constantly for those new products. Moreover, labor costs have been rising. If enterprises do not have a nice planning, then it will cause production cost to increase and product quality to reduce, and in turn drop the competitiveness of enterprises in the market. Therefore, in the production system, enterprises must take good care of both quality and performance with the best allocation of inspection and other limited resources. In addition, workers have different operational capabilities. How to allocate the right worker in the right place will affect production performance and product quality, which is also an essential issue to study.
This study explores how to place workers with different skill levels in the workstations and inspection stations for studying the allocation policy of inspections for serial production systems under multi-characteristics. A mathematical model will be developed with maximum profit as the objective function. The study would use the enumerative method to find the optimal inspection policy and workers placement, and use two different solution approaches: genetic algorithm as well. The performance of different solution algorithms is discussed. We believe that the results of this study can provide effective suggestions for industrial people who are planning to do worker placement for workstations and inspection stations.
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