Recoverable Remanufacturing Programming for a Sustainable Supply Chain Decision Model

This work discusses a model for sustainable logistics decision-making. A sustainable supply chain system consists of a procurement stage, a remanufacturing stage, an assembly stage, and a distribution stage. The proposed procedure considers multiple components, sources, suppliers, machines, and logistics centers (LCs) in a sustainable logistics system. Sustainable logistics is used to integrate new and recoverable materials into a remanufacturing system. Because the LCs' demand and related parameters are imprecise/fuzzy in nature, a triangular possibility distribution can be used. The proposed fuzzy multi-objective linear programming model aims to simultaneously minimize total cost and total lead time by considering the uncertainty associated with the quantity of demand, the procurement, remanufacturing, and distribution stages restrictions. This work proposes a problem-solving procedure with an interactive two-phase possibilistic linear programming approach for solving fuzzy multi-objective recoverable remanufacturing programming problems. Halogen lamp heater case was used to test the proposed models. The complete results presented in this work will allow decision-making managers to better understand systematic analysis and decision quality for the cost-effectiveness and lead time of recoverable remanufacturing planning in a sustainable supply chain.

關鍵字

sustainable supply chain ； fuzzy multi-objective linear programming ； interactive two-phase possibilistic linear programming ； decision quality

並列摘要

本研究針對永續供應鏈決策模式進行探討，永續供應鏈體系中包括採購、製造及配送階段，且考量多料源、多供應商、多零組件、多機臺及多個物流中心，模式中納入新零組件與回收零組件可混合投入再製造，各物流中心之需求量具不確定性，是以三角可能性分配的型態來表示。本研究應用模糊多目標線性規劃法與可能性規劃法，建構可回收再製造規劃之永續供應鏈決策模式，模式中同時考量總成本與前置時間最小化為目標，且需求量具不確定性，並考慮採購、再製造及配送階段之限制。本研究利用互動式二階段可能性線性規劃法針對該模式提出求解程序，以提高決策品質。再以一個加熱燈的數值範例進行模擬測試，以驗證模式之正確性，可有效率地進行永續供應鏈決策模式之再製造規劃，作為採購、投料及配送決策時之參考。

並列關鍵字

永續供應鏈；模糊多目標線性規劃；互動式二階段可能性線性規劃；決策品質

參考文獻

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