針對具有不確定性之封閉式永續綠色供應鏈(Closed-Loop Sustainable Green Supply Chain)的網路設計問題,本研究應用兩階段隨機規劃法(Two-stage Stochastic Programming)建構數學規劃模型。其考量因素包括流量配置、租賃逆物流廠址選擇、產能擴充方案選擇與製程技術投資、以及需求及回收數量不確定性等。本研究納入環境成本的概念,針對碳排放量課徵環境稅,將總成本分區分為經濟成本與環境成本。另外,本研究亦驗證兩階段隨機規劃模型之可行性,並與確定性模型做比較,其結果顯示考量需求與回收數量不確定性之永續供應鏈網路設計結果較具穩健性。在逆物流規劃方面,將退回產品分為回收品與收購品兩種處理方式,透過參數分析,探討回收率與收購率相互變動下對淨利潤之影響。根據實驗結果,當回收率比收購率高時,企業在淨利潤方面提升較顯著,且處置成本花費較少;反之,收購率比回收率高時,企業在淨利潤方面提升較不顯著,且導致再製造成本相對提高,透過本研究分析結果,可供企業在面對需求與回收數量不確定時擬定最佳策略之參考依據。
In this paper, we develop the closed-loop sustainable green supply chain network design related problems that possess uncertainty, the two-stage stochastic programming method was applied to construct a mathematical planning model. Considering logistics flows, leasing reverse logistics site selection, capacity expansion and technology investments of existing and potential facilities, and the uncertainty occurred in customer demand and return quantity. The concept of environmental cost was incorporated, environmental taxes were levied against carbon emissions, the total costs are divided into economic costs and environmental costs. Moreover, the feasibility of the two-stage stochastic programming method was verified then compared with the model of certainty. Findings show that the sustainable supply chain design results in consideration to uncertainties in demand and recycled quantity possessed better robustness. In terms of reverse logistics planning, returned products are handled in two ways, recyclables and acquisition. The effect of changing recycling rates and acquisition rates on net profit was discussed through parameter analysis.