綠色供應鏈之模糊多目標整合運籌模型

現在，綠色供應鏈管理是公司們改進環保成效時一個越來越普遍的實踐目標。此外，整合運籌模型在學術界及業界也相當受到重視，由於環境的不確定性，很多學者使用模糊集合理論來處理不確定需求及外部原物料的問題。因此，本研究提出一個綠色供應鏈下的模糊多目標整合運籌模型，並使用了三種方法來解決這個問題，目的在於使一般製造的物流供應鏈及逆物流供應鏈的整合利潤最大化。在逆物流供應鏈中，本研究將政府的補助政策納入模型之中，並且探討其對整個模型的影響。最後，我們用數值範例來輔助說明整個求解程序。範例的結果說明了在三個方法中，最原始的求解方法得到最佳解，而當政府的補助金額增加時，逆物流鏈的利潤也會隨之上升，這指出，政府的補助政策為一個影響逆物流供應鏈成效的關鍵因素。

關鍵字

綠色供應鏈管理；整合運籌模型；模糊集合；多目標線性規劃

並列摘要

Green Supply Chain Management (GSCM) is an increasingly widely-diffused practice among companies that are seeking to improve their environmental performance. Also, integrated logistics model have attracted considerable interest from both practitioners and academics. Due to the uncertain environments, lots of researches have been used fuzzy set to handle uncertain demands and external raw material problems. This paper presents a fuzzy multiple objective integrated logistics model under green supply chain environment. The objective of this research is to discuss maximizing the profit of both manufacturing and reverse chain in a fuzzy environment with using three different methods to solve this problem. Factors such as subsidies from governmental organizations for reverse logistics are considered and investigated in the model formulation. Finally, numerical examples are given to explain the proposed solution procedure. The results of this example illustrate that the ordinary solving procedure has the best solution among the three methods. And when the governmental subsidy value increased, the profit of the reverse chain also increased, which indicates that the governmental subsidy policy remains as a critical determinant in influencing the performance of used-product reverse logistic chain.

並列關鍵字

Green-supply chain management ； Integrated logistics systems ； Fuzzy set ； Multiple objective linear programming

參考文獻

Alev Taskin G., Ali Fuat G., “A multi-echelon inventory management framework for stochastic and fuzzy supply chains,” Expert Systems with Application, vol.36, 2009, pp. 5565–5575.

Amid, S.H. Ghodsypour and C. O’Brien, “Fuzzy multiobjective linear model for supplier selection in a supply chain,” International Journal of Production Economics, vol.104, no. 2, 2006, pp. 394–407.

A.J. Clark and H. Scarf, “Optimal policies for a multi-echelon inventory problem,” Management Science, vol.6, 1960, pp. 475-590.

A.J. Clark and H. Scarf, “Approximate solutions to a simple multi-echelon inventory problem, in: K.J. Arrow, S. Karlin, H. Scarf(Eds.), in: Studies in Applied Probability and Management Science,” Stanford University, Press, Stanford, CA, 1962, pp. 88-110

Banerjee, A., “A joint economic lot size model for purchaser and vender,” Decision Sciences, vol.17, 1986, pp. 292–311.

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綠色供應鏈之模糊多目標整合運籌模型

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