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• Main Authors: Shu-mei Lin, 林淑梅
• Other Authors: Shang-Yao Yan
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/60777442145755489624

碩士 === 國立中央大學 === 土木工程學系在職專班 === 102 === Abstract The mold and die industry can be traced back to as early as the beginning of democracy in the nation’s history, and has matured along with the national industrial development. In view of the growing significance of the mold and die industry on the development of the nationwide industry, in the 1980’s, the government incorporated the mold and die industry into the “Strategic Industry Applicable Scope” and promoted the development of the mold and die industry while cooperating with export strategies for related industrial products. Due to the fact that most of the manufacturers at the present time utilize the manufacturing model of 24-hour operations, and manual work shift operations have always been time-consuming that pose problems to a great number of corporate departments, as a result, decisions makers often spend a great deal of time on communications and work shift arrangements despite the fact that the outcome of the finalized work shift may still yet to be an optimal or fair arrangement. In this research, in order to meet the actual demands and standard of fairness, the factors of the process personnel of a molding factory, the demands on the work shifts of the personnel participating in daytime and nighttime shifts in a fixed weekly period are used as the scope of this research. First, all of the limited resources associated with the actual problem in practice are quantified for conversion and constructing mathematical models. In addition, the 0-1 integer planning model is used as a structural framework and is inputted and written into the Lingo 8.0 software package to perform simulations and tests. This is followed by outputting the results for obtaining the optimized work assignment model with loading averages in order to verify the arrangement result generated by the most optimal model in this research, to ascertain if it is indeed advantageous over the manual work shift arrangement and is of higher efficiency and fairness. Furthermore, related parameter adjustments and limitation criteria modification according to such objective values are used to simulate the solution analysis such that the loading average work shift for all process personnel can be obtained in order to assist the decision makers to suitably plan and arrange the work force. Any working overtime and over loading of work violating the regulations specified by the work force inspection agency can be prevented, and this research can be further used as a reference of work force assignment for managers of all manufacturers.