Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry
碩士 === 東海大學 === 工業工程與經營資訊學系 === 100 === This paper studies an integrated forward and reverse supply chain network design problem with sustainable concerns under the uncertain environment. We are interested in the logistics flows, capacity expansion and technology investments of existing and potentia...
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ndltd-TW-100THU000300202015-10-13T21:07:17Z http://ndltd.ncl.edu.tw/handle/92275988133958950033 Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry 考量不確定性之正逆向物流整合型永續供應鏈網絡設計─以太陽能產業為例 Chung-Chun Wang 王中俊 碩士 東海大學 工業工程與經營資訊學系 100 This paper studies an integrated forward and reverse supply chain network design problem with sustainable concerns under the uncertain environment. We are interested in the logistics flows, capacity expansion and technology investments of existing and potential facilities, and consider the uncertainty occurred in raw material supply, customer demand and return quantity. A robust multi-objective programming model (RMOP), that captures the trade-off between the total cost and the carbon dioxide (CO2) emission, is developed from the economic and environmental perspective, respectively. In the numerical evaluation and results, we analyzed the relationship between the total cost and carbon emission in integrated supply chain network and robustness of the proposed RMOP model by the generated Pareto-optimal set. Finally, a case study of crystalline solar energy industry is applied to illustrate the importance of developing an integrated forward and reverse supply chain network design model in practice. Li-Chih Wang 王立志 2012 學位論文 ; thesis 115 zh-TW |
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碩士 === 東海大學 === 工業工程與經營資訊學系 === 100 === This paper studies an integrated forward and reverse supply chain network design problem with sustainable concerns under the uncertain environment. We are interested in the logistics flows, capacity expansion and technology investments of existing and potential facilities, and consider the uncertainty occurred in raw material supply, customer demand and return quantity. A robust multi-objective programming model (RMOP), that captures the trade-off between the total cost and the carbon dioxide (CO2) emission, is developed from the economic and environmental perspective, respectively.
In the numerical evaluation and results, we analyzed the relationship between the total cost and carbon emission in integrated supply chain network and robustness of the proposed RMOP model by the generated Pareto-optimal set. Finally, a case study of crystalline solar energy industry is applied to illustrate the importance of developing an integrated forward and reverse supply chain network design model in practice.
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Li-Chih Wang |
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Li-Chih Wang Chung-Chun Wang 王中俊 |
author |
Chung-Chun Wang 王中俊 |
spellingShingle |
Chung-Chun Wang 王中俊 Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry |
author_sort |
Chung-Chun Wang |
title |
Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry |
title_short |
Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry |
title_full |
Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry |
title_fullStr |
Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry |
title_full_unstemmed |
Integrated Forward And Reverse Sustainable Supply Chain Network Design Under Uncertainty – A Case Study Of Solar Energy Industry |
title_sort |
integrated forward and reverse sustainable supply chain network design under uncertainty – a case study of solar energy industry |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/92275988133958950033 |
work_keys_str_mv |
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