A study on an integrated scheduling problem of production and distribution

• Main Authors: Hsuan-an Chen, 陳璿安
• Other Authors: Chin-yao Low
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/56678321959082490922

碩士 === 雲林科技大學 === 工業工程與管理研究所碩士班 === 98 === Production and distribution are the most important activities in supply chain. Firms can provide products that customers need at the right moment with tight integrated between production and distribution. Also, the inventory cost of both sides, firms and customers, can be lowered and the benefits of the whole supply chain can be improved. Among the past studies, production and distribution were usually studied separately. So the researcher studied a scheduling problem that integrated flow shop and vehicle routing. Genetic algorithm is a meta heuristic that searches many solutions at the same time, and it has been successfully applied to different fields since 1975. Also, hybrid genetic algorithm can be applied to both flow shop scheduling and vehicle routing problems and the outcome of solution is fine. Therefore, the researcher applied adaptive genetic algorithm to the integrated problem of production and distribution and compared the outcome of solutions with the one of genetic algorithm. The result revealed that best approximate solutions could be obtained during reasonable time and the solving outcomes of adaptive genetic algorithm was better than that of genetic algorithm. The researcher also the connection among unit inventory cost, unit distribution cost and the distribution strategy of firms. The result revealed that the orders were distributed separately under the circumstances of high inventory cost, with more cars were used to distribute orders.