臺灣博碩士論文加值系統

隨著資訊與科技的進步，資訊的透明化使得企業面臨全球化之經營挑戰，企業體不能再像過去一樣單打獨鬥，必須藉由供應鏈管理來提升競爭力，並以策略聯盟方式整合上下游供應鏈成員採購、生產、配送之活動，透過資訊共享，提高供應鏈策略聯盟之決策彈性與生產效率，以獲得供應鏈運籌模式之競爭優勢。本研究在考量供應商供給能力變動下，提出一集權式供應鏈策略聯盟之生產規劃系統，以集權式結盟政策之供應鏈生產規劃演算法(Centralized - Supply Chain Product Planning algorithm , C-SCPP)為控制核心，用以制訂供應鏈生產與配送決策，使得供應鏈總供貨成本最小化。本研究另外提出一分權式結盟政策之供應鏈生產規劃演算法(De-Centralized - Supply Chain Product Planning algorithm , DC-SCPP)，然後以統計最佳化技術來核檢C-SCPP之求解品質。在績效評估上，以DC-SCPP為對照組，以比較集權式與分權式結盟政策在績效指標上的差異，而績效評估之結果顯示，在主要績效指標―供應鏈總供貨成本上，集權式結盟政策供應鏈生產規劃演算法（C-SCPP）明顯優於分權式結盟政策之供應鏈生產規劃演算法（DC-SCPP）。

To share information of the companies makes an enterprise face global
management challenge. So we should apply techniques of supply chain management to raise a company’s competitiveness. This paper addresses a system of strategic supply and distribution alliance of supply chain and conducts Centralized Supply Chain Product Planning algorithm (C-SCPP) to formulate production decisions and distribution decisions of Supply Chain. At the same time this research has also developed a comparison algorithm which call it as De-Centralized Supply Chain Product Planning algorithm (DC-SCPP). We compared C-SCPP algorithm with DC-SCPP algorithm, with some experiments, we discovered that C-SCPP algorithm is better than DC-SCPP algorithm, especially in reducing total supply cost.

目 錄
目錄頁次
中文摘要i
英文摘要ii
誌謝iii
目錄iv
表目錄vi
表目錄vii
符號說明viii
一、緒 論1
1.1研究背景與動機1
1.2研究目的2
1.3研究範圍與假設4
1.4研究方法5
二、文獻探討8
2.1供應鏈管理9
2.2廠商組合問題14
2.3生產規劃與控制15
2.4供應鏈生產與配送之整合15
2.5到期日之考量17
2.6遺傳基因演算法18
2.7討論21
三、集權式結盟決策之供應鏈生產規劃系統架構與數學解析模式22
3.1集權式結盟決策之供應鏈生產規劃系統架構22
3.2符號說明25
3.3建立數學模式27
3.3.1可獲性理論基礎27
3.3.2模式說明29
四、集權式結盟政策之供應鏈生產規劃演算法58
4.1集權式結盟政策之供應鏈生產規劃演算法架構58
4.2遺傳基因演算法之相關設定62
4.3 C-SCPP演算法運作流程62
五、模擬實驗65
5.1模擬實驗相關設定65
5.1.1供應鏈策略聯盟相關資料之設定65
5.1.2模擬實驗因子之設定66
5.1.3實驗組合之編碼方式67
5.2集權式與分權式結盟政策之供應鏈生產規劃演算法68
5.3模擬結果69
5.4模擬結果分析74
5.4.1績效評估74
5.4.2結果分析76
5.5總結81
六、結論與未來發展82
6.1結論82
6.2未來發展方向83
參考文獻84
附錄一88

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