建構多期跨階逆向供應鏈網路規劃模式

近年來逆物流逐漸受到企業的重視，因透過逆向物流的活動將可使瑕疵品、回收品、廢棄物等可有系統的運回至企業內進行處理，以有效的降低有害物對環境造成的傷害及提高顧客的服務水準。本研究將針對瑕疵品規劃跨階逆向物流之途程，使下游所產生之瑕疵品可依照損壞程度，分別予以直接送回上游供應鏈夥伴進行維修或重製，在進行產品配置計畫時，則考量各個供應鏈夥伴的產能上下限、運輸成本、製造成本等，並考慮製程瑕疵、運送損失等兩個參數建構缺損型供應鏈網路型態，以更符合實際的作業，並將上述所考量之因素建立最佳化數學模式，及應用基因演算法進行問題的求解，以滿足終端供應鏈的需求及成本最小化之目的。最後本研究將以{2-3-3}之供應鏈架構為例規劃單一產品及三期之跨階逆向物流模式，其分析結果顯示系統可於短時間內在滿足需求量及最少成本下獲得最佳之產品配送計畫。

關鍵字

跨階逆向物流；基因演算法；供應鏈夥伴評選

並列摘要

In recent years, reverse logistics has increasingly attracted attention among businesses as it makes possible the systematic return and disposal of defective products, recycled products, and waste with the aim of effectively reducing the harm of hazardous substance to the environment and improving customer service. This study intends to design a cross-stage reverse logistics process for defective products, and analyze how downstream defective products are sent back to the upstream supply chain partners for repair or reprocessing, depending on the degree of damage. Three parameters are considered for implementing product distribution plans: the upper/lower limits of capacity, shipping costs, and production costs. In addition, to reflect the actual business operation, two more parameters—manufacturing defects and shipping losses—are used to construct an defective supply chain network. All the above-mentioned parameters are used to construct an optimized mathematical model and the genetic algorithm is applied to problem-solving to meet the demand of terminal supply chain and the purpose of cost minimizing. This study ends with the sample supply chain framework in {2-3-3}. Under this framework, a cross-stage reverse logistics model is constructed with one product and three stages. The results show that the system can achieve the optimal product delivery allocation by meeting the quantity demanded and minimal costs.

並列關鍵字

Cross-Stage Reverse Logistics ； Genetic Algorithm ； Supply chain Partner Selection

參考文獻

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國際替代計量

建構多期跨階逆向供應鏈網路規劃模式

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