Multi-Objective Aggregate Planning in Supply Chain--X Company Example
碩士 === 大葉大學 === 工業工程與科技管理學系碩士在職專班 === 93 === Most of fitness equipment firms in Taiwan are OEM ( Original Equipment Manufactures )oriented; therefore, continuous cost reduction should be the target. The optimal design of production process is the only way for the firm to achieve sustainable advantag...
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ndltd-TW-093DYU010300052015-10-13T12:57:06Z http://ndltd.ncl.edu.tw/handle/94349139737160025469 Multi-Objective Aggregate Planning in Supply Chain--X Company Example 供應鏈中多目標總體規劃模型之研究--以X公司為例 Chih-Chiang Chang 鄭志強 碩士 大葉大學 工業工程與科技管理學系碩士在職專班 93 Most of fitness equipment firms in Taiwan are OEM ( Original Equipment Manufactures )oriented; therefore, continuous cost reduction should be the target. The optimal design of production process is the only way for the firm to achieve sustainable advantages. This research is using the multi-objective method for optimizing the aggregate planning for a fitness equipment firm. The methods used in this study are fuzzy multi-objective method and weighting multi-objective method, respectively. We compare these two methods and find that the total cost of fuzzy model is more lower than that of the weighting model. Furthermore, since the weights are not easily determined for the decision maker, the fuzzy multi-objective approach seems to be more appropriate in this study. The sensitivity analysis is also conducted in this study, our model hints that the optimal policy should be proposed to balance the pricing, backlog, production, inventory, etc, so that the total cost could be minimized. The values of decision variable for aggregating planning are various depending on the actual situation of a firm. Keyword: Multi-objective, Aggregate Planning, Fuzzy, Production Yuh-Wen Chen 陳郁文 2005 學位論文 ; thesis 78 zh-TW |
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碩士 === 大葉大學 === 工業工程與科技管理學系碩士在職專班 === 93 === Most of fitness equipment firms in Taiwan are OEM ( Original Equipment Manufactures )oriented; therefore, continuous cost reduction should be the target. The optimal design of production process is the only way for the firm to achieve sustainable
advantages. This research is using the multi-objective method for optimizing the aggregate planning for a fitness equipment firm.
The methods used in this study are fuzzy multi-objective method and weighting multi-objective method, respectively. We compare these two methods and find that the total cost of fuzzy model is more lower than that of the weighting model. Furthermore, since the weights are not easily determined for the decision maker, the fuzzy multi-objective approach seems to be more appropriate in this study.
The sensitivity analysis is also conducted in this study, our model hints that the optimal policy should be proposed to balance the pricing, backlog, production, inventory, etc, so that the total cost could be minimized. The values of decision variable for aggregating planning are various depending on the actual situation of a firm.
Keyword: Multi-objective, Aggregate Planning, Fuzzy, Production
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author2 |
Yuh-Wen Chen |
author_facet |
Yuh-Wen Chen Chih-Chiang Chang 鄭志強 |
author |
Chih-Chiang Chang 鄭志強 |
spellingShingle |
Chih-Chiang Chang 鄭志強 Multi-Objective Aggregate Planning in Supply Chain--X Company Example |
author_sort |
Chih-Chiang Chang |
title |
Multi-Objective Aggregate Planning in Supply Chain--X Company Example |
title_short |
Multi-Objective Aggregate Planning in Supply Chain--X Company Example |
title_full |
Multi-Objective Aggregate Planning in Supply Chain--X Company Example |
title_fullStr |
Multi-Objective Aggregate Planning in Supply Chain--X Company Example |
title_full_unstemmed |
Multi-Objective Aggregate Planning in Supply Chain--X Company Example |
title_sort |
multi-objective aggregate planning in supply chain--x company example |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/94349139737160025469 |
work_keys_str_mv |
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