在現實激烈競爭的環境中，既競爭又合作(competitive and cooperative)的供應鏈整合模式的交易協商過程，衝突的解決成了重要議題，在供應鏈某一方主導及自我利益考量的模式下，造成生產指派與計畫的結果僅達到某一方的最佳化目標，整體供應鏈績效反而下降。因此如何有效整合供應鏈中資源及建立各階層中最佳的競爭及合作模式，對製造廠而言，才能掌握競爭優勢。 本研究希望提出一以多重代理人的合作競爭模式為基，以模組化的系統發展方式，針對顧客訂單的物料需求清單(Bill of Material ; BOM)結構，發展出完善的供應鏈生產指派與規劃系統。本研究設計不同角色的多重代理人，進行資訊擷取分析，建構訂單競標交涉協商機制，以階層式分析程序法(Analytic Hierarchy Process ; AHP)，在考量有限生產資源的限制條件下，設計零組件供應商訂單競標評估機制。再利用模糊階層式分析程序法(Fuzzy Analytic Hierarchy Process ; Fuzzy AHP)發展訂單轉移模組演算程序，並結合零組件訂單競標力量修正機制來重新分配各供應商生產資源。再者發展顧客訂單轉移評估機制與顧客訂單競標力量修正機制，重新分配各中心廠生產資源，並利用透過模糊多目標函數建立與分析，完成中心廠及顧客訂單指派決策支援機制，發展出一多階競合生產指派模式。幫助供應鏈中各階層企業，在動態競爭的環境中，透過與其他企業合作協議的達成，作有效的產能規劃，達到整體供應鏈最佳的生產資源分配與計畫的目標。 Nowadays in the stringent competition environment, during the business transactions and negotiation process of a competitive and cooperative integrated supply chain, how to resolve the conflicts between the enterprises becomes an important issue. Because the leading roles in supply chain and self-interest based model, the results of production assignment and planning only reach at one-side optimization, and the total performance would be inferior. Therefore, for manufacturers how to effectively integrate the resources and build the best competitive and cooperative model for a multi-level supply chain can hold competitive advantages. In this research, for multi-echelon production planning and assignment problems, firms with different roles at different levels are modeled as multi-agents. Including order bidding and negotiation mechanism, system evaluation, and information feedback mechanism are proposed and developed as to constructing a part/subassembly suppliers assignment and production planning system. In the entire mechanism, including part/subassembly order bidding (or competition) power, cooperation strategy, and potential order transfer are modeled to develop an optimized resource allocation for supply chain members. Fuzzy multi-objective evaluation is used and developed to accomplish the tasks, production assignment and planning decision support, resulting in a multi-echelon competitively cooperative assignment and planning system.
