綠色產品設計與開發逐漸受到重視，產品從設計到出售必需限制產品對環境造成的衝擊，以減少產品對環境的負面影響。本研究提出多目標確定性與單一目標不確定性兩種模型。為了尋找符合環保法規限制的最佳產品設計與供應鏈決策，並考量經濟因素，本研究的多目標確定性模型，利用基因演算法(Genetic Algorithm, GA)搜尋可能的設計選項，使用網路數學模型建立相對應的供應鏈網路，並將此網路模型轉化為前K條最短路徑問題（K-Shortest Paths, KSP），最後使用Yen’s algorithm求解。基於生命週期（Life Cycle Assessment, LCA）評估原料、製造、與運輸過程的碳排放量，配合成本參數，計算不同決策組合的成本和碳排放量，藉此找到滿足碳排放量限制同時最小化成本的最佳解。此外為了考量產品開發過程中LCA對環境衝擊評估的不確定性，本研究提出單一目標不確定性模型，假設碳排放量服從統計機率分配，以基因演算法搜尋產品設計選項，使用網路數學模型建立相對應的供應鏈網路，基於Yen’s algorithm發展演算法最大化不同設計選項與不同供應鏈的決策組合中符合碳排放量限制之機率。

目錄
摘要 i
英文摘要 ii
目錄 iii
圖目錄 vi
表目錄 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研究流程 4
1.4研究架構 5
第二章文獻探討 6
2.1綠色設計 6
2.2綠色供應鏈 8
2.3生命週期評估 11
2.4小結 13
第三章問題描述與說明 14
3.1產品設計 18
3.1.1零件材質與型號 18
3.1.2組裝架構與順序 19
3.1.3組裝限制 20
3.2供應鏈網路 20
3.3確定性模型 21
3.3.1成本和環境衝擊參數 22
3.3.2目標 22
3.3.3模型設定 23
3.4不確定性模型 23
3.4.1生命週期評估之不確定性 24
3.4.2環境衝擊參數之期望值與變異數 24
3.4.3目標 25
3.4.4模型設定 25
3.5前K條最短路徑（K-Shortest Paths） 26
第四章模型建構與求解 27
4.1基因演算法(GA) 27
4.1.1基因代碼與零件之結合 28
4.1.2適合度函數 29
4.1.3步驟 29
4.2供應商網路(Network)建構 31
4.2.1供應鏈網路建構與縮小 32
4.2.2步驟 32
4.3確定性模型 33
4.3.1基因演算法之適合度函數 34
4.3.2供應鏈網路建構 35
4.3.3目標與限制 37
4.3.4最短路徑求解(K-Shortest Paths) 37
4.4不確定性模型 38
4.4.1基因演算法之適合度函數 38
4.4.2供應鏈網路建構 39
4.4.3符合環保法規限制之機率計算 41
4.4.4 目標 41
4.4.5最短路徑求解(K-Shortest Paths) 42
4.5Yen’s algorithm 42
4.5.1Yen’s algorithm範例說明 43
第五章案例實作 45
5.1實作環境 45
5.2案例資料 45
5.3確定性模型 49
5.3.1Network節線係數之成本 52
5.3.2Network節線係數之碳排放量 53
5.3.3小結 55
5.3.4延伸討論 57
5.4不確定性模型 60
5.4.1Network節線係數之碳排放量期望值 63
5.4.2Network節線係數之碳排放量變異數 65
5.4.3機率計算 67
5.4.4小結 67
5.4.5延伸討論 70
5.5方法比較 76
第六章結論與未來研究 78
6.1結論 78
6.2未來研究 80
參考文獻 81

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