| Summary: | 碩士 === 國立勤益科技大學 === 工業工程與管理系 === 104 === Technology and Logistics booming in recent years, semiconductor industry owing to the trend of Internet of Things and Smart Living, make market of high-technology Industry keep on the growth, and raising the demand of high level semiconductor product. In Taiwan, semiconductor industry with unique vertical division of work model to achieving the competitive advantage of world. As the manufacturing process of technology costs and level increasingly complex, wafer fabrication adopt the process outsourcing one after another, especially in the backend manufacturing process of the IC packaging and testing process, semiconductor industry in the professional division of work and integrating technology in the professional division of work and integrating technology, semiconductor industry with different operating strategies under the interaction, the coordination between manufacturers and their outsourced factory became one of critical elements to makes semiconductor industry success.
This research focus on the cost of supply chain, and then makes a mixed integer programming model with a goal to minimize the cost, we will consider the problem of integrating the processes problem and vehicle routing problem. In the part of processes that shortage of the goods won't be considered, discussion the optimum number amount not only process by outsourcing plant but also satisfy the demand and then determine if capacity is lacking whether or not to work overtime, the part of transportation, we will consider the problem of units of cars and kinds of cars, different cars with different loading, and limits of driving distance. As variables or conditions increases, solving with mixed integer programming will easier results in NP-hard problems. Therefore, in this research we via use Particle Swarm Optimization in this model to minimize the cost and then compare two methods to reduce the cost of overall to achieve higher efficiency under these considerations.
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