由於全球高度競爭，企業為了滿足客戶需求，採用以時間為基礎的競爭策略，以加速完成生產計劃，除此之外，減少存貨及維持適當的存貨水準，以獲取較佳的企業績效及顧客滿意。
生產規劃的功能是以加班、存貨、外包及欠撥或改變人力水準方式，正確地處理需求變動，以符合顧客的需求。一個整體生產計劃需統合銷售訂單和生產批量並同時完成多項企業目標，例如：總成本最小、利潤最大及人力水準變動最小等目標。
本論文在模糊環境下，建構一個新的模糊多階多目標生產規劃模式於供應鏈中，此多階供應鏈包括一個批發商，一個製造商（供應鏈的核心成員）及一個供應商，而每一個成員都有資源限制（例如：人力、產能及／或倉儲空間）。
本論文發展一個有效率兩階段互動式求解程序及一個兩階段探索式求解程序，以最大化供應鏈總利潤及整體滿意度，本論文提出的求解程序修正自Sakawa et al.的互動式模糊規劃法且能容易地被業界所採用，而Sakawa et al.的方法僅運用在製造商單階及單目標。最後，以台灣知名網路產品製造供應鏈個案研究來驗證本論文模式及求解程序的效率性及易使用性。
研究結果顯示，在供應鏈中，上下游成員間的互動及調整過程是必要的，此過程將能最大化供應鏈總利潤及整體滿意度。供應鏈成員緊密的整合將互相得利並創造全球競爭優勢。
未來研究主題將包括樹狀(arborescent)供應鏈的建模，發展新的求解程序及考慮模糊參數等方向。

Due to the intense global competition, businesses generally adopt a time-based competition strategy to speed a fulfillment plan in order to meet customer demands. In addition, the inventory should be reduced and maintained at a proper stock level for the purposes of better business performance and customer satisfaction.
The function of production planning is to deal properly with demand fluctuations by using overtime, inventory, subcontracting, and backordering, or changing the workforce level to meet the customers’ needs. An aggregate plan aligns the production runs with the sales orders and simultaneously achieves multiple business objectives such as minimizing the total cost, maximizing the profit, minimizing the change in workforce level, and so on.
This thesis formulates a novel fuzzy multi-level multi-objective production planning (FMLMOPP) model for a supply chain under a fuzzy environment. The multi-level (e.g., three-level) supply chain consists of a wholesaler, a manufacturer (the core member of the supply chain), and a supplier, as well as limited resources (i.e., workforce, capacity, and/or storage space) of each member.
An efficient two-phase interactive solution procedure and an exploratory solution procedure are developed to obtain a good solution that maximizes the total supply chain profit and the satisfactory degree. The proposed solution procedure, modified from Sakawa et al.’s interactive fuzzy programming approach, can be easily adopted by practitioners. Through a negotiation case study, a well-known network product manufacturing supply chain in Taiwan is presented to demonstrate the effectiveness and aptness of the proposed model and the solution procedure, as compared with Sakawa et al.’s method with only one objective at the manufacturer level.
The results indicate that the interactive and adjusted process between upstream and downstream members in a supply chain is necessary. This can maximize the total supply chain profit and the satisfactory degree. It is extremely important for all members in the supply chain to closely integrate together in order to gain mutual benefits and create their global competitive advantages.
Future research topics might include model formulation of arborescent supply chains, development of new solution procedures, and consideration of fuzzy parameters.

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