| Summary: | 碩士 === 國立中正大學 === 企業管理系研究所 === 104 === The semiconductor Assembly and testing industry is faced with intense competition and rapidly changing market demands. The industry is technology- and labor-intensive, which leads to short product lifecycles. Thus, companies in the industry are forced to constantly replace expensive machinery and equipment. Hence, a stringent evaluation process is required when purchasing machinery and equipment. Taiwan’s Assembly and testing plants are advantageous in that they are able to offer competitive production prices, provide excellent R&D technologies, and achieve superior efficiency. These qualities have secured Taiwan’s status in the global semiconductor Assembly and testing industry. Nevertheless, international competition remains an imminent threat to Taiwan’s industry, particularly China’s Assembly and testing plants, which have benefited from the recent amendments in policies and the increase in funds. To survive in an era of micro profits and achieve sustainable development, Taiwanese companies must strive to lower production costs and effectively increase productivity.
The present study employed mathematical programming and used the actual processing time required for the production equipment to assess the production line bottlenecks of micro secure digital (SD) memory card packing and testing. The output calculated via this method is superior to general theoretical values or that of experience-based calculations, and can reflect the operations of the production line with greater accuracy. LINGO, a software for operations research was employed, and linear programming was used to assess the actual output and bottlenecks of the production line. The software was also used to determine the optimal planning and distribution of production line machinery under limited capital expenditure. The results can serve as reference for companies when evaluating machinery or equipment purchases, thereby avoiding the over purchase of machinery that is not cost-effective, and preventing idle output and increased costs.
The present study was centered on optimizing the planning and distribution of finite production resources. A linear programming tool was applied to determining the optimal product mix for the production line of a micro SD memory card Assembly and testing company. The results of the present study can serve as reference for determining optimal policies for output distribution and planning, thereby elevating the competitiveness of the industry and effectively maximizing profits.
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