臺灣博碩士論文加值系統

本研究針對供應鏈決策模式進行探討，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、多機台及多個物流中心，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方法針對該模式提出求解程序，再以一數值範例進行模擬測試，以驗證模式之正確性。接著針對重要參數進行敏感度分析，最後提出具體結論與建議，作為採購、投料及配送決策時之參考。
關鍵字：供應鏈決策、互動式二階段方法、三角可能性分配、模糊多目標線性規劃法

This work discusses a model for supply chain decision-making. The supply chain system includes the following stages: the procurement phase, manufacturing phase and distribution phase. This procedure considers multi-suppliers, multi-components, multi-machines and a multi-logistics center in a reverse logistics system. This reverse logistics is used for new and recoverable materials to mix into the remanufacturing system. In fact, this reverse logistics’ demand is under uncertainty; as the related parameters are imprecise in nature, a triangular possibility distribution is used. The proposed model aims to simultaneously minimize total cost and total lead time. In addition, this work proposes a problem-solving procedure with interactive two-phase possibility linear programming. Furthermore, we propose an electric heater case to test the models. The results presented in this work can help managers make more exact decisions.
Keywords: Supply chain, Interactive two-phase method, Triangular possibility distribution, Fuzzy multi-objective linear programming

摘要 I
Abstract II
謝誌 III
目錄 IV
圖索引 VII
表索引 VIII
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3研究架構與流程 3
第二章 文獻探討 6
2.1供應鏈相關研究之文獻 6
2.2逆物流與再製造相關研究之文獻 7
2.3模糊多目標規劃法相關研究之文獻 8
2.4可能性數學規劃法相關研究之文獻 10
第三章 模式建構 14
3.1問題描述 14
3.2研究假設與限制 17
3.3符號定義 18
3.4建構模糊多目標數學規劃模式 22
3.5模式求解步驟 27
3.6求解具不確定性限制式之策略 30
3.6.1三角可能性分配 30
3.6.2應用三角可能性分配求解具不確定性限制式 30
3.7互動式二階段求解模糊多目標問題 32
3.7.1第一階段求解最低滿意度 32
3.7.2第二階段加入補償係數求解整體滿意度 36
第四章 數值範例 38
4.1案例描述 38
4.2案例之相關參數設定 40
4.3案例之求解步驟 46
4.4結果分析與討論 64
4.5模糊多目標可能線性規劃模式之敏感度分析 66
4.6小結 76
第五章 結論與建議 78
5.1結論 78
5.2建議 79
參考文獻 80
作者簡介 86

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