作為一項基於顧客導向為出發點之品質管理工具，品質機能展開(Quality Function Deployment, QFD)已廣泛應用於企業的產品設計、開發與改善。其核心價值在於，得以將顧客需求藉由品質機能展開之流程整合，納入市場競爭相關資訊與設計需求間的影響關係，轉換為產品設計或改善所不可或缺之設計需求與其重要性排序。許多研究將顧客滿意度、預算限制與技術困難度整合至決策模式中，在最大化顧客滿意度的前提之下，求取各項設計需求的執行度，以提供決策者更為清晰之決策方向。在現實問題當中，資源限制往往對於決策問題具有關鍵性的影響，然而，部分研究僅針對成本進行簡單的線性限制，而忽略資源分配與其使用效率等議題，因此，本研究將提出一考量資源限制之模糊品質機能展開模式，使得決策結果更為貼近實務應用。
本研究模式之決策流程共分為三個階段。第一階段為專家意見整合，針對品質屋當中的各個評估項目，專家皆採用模糊數進行評估，並利用群體決策方法整合所有專家意見；第二階段為計算各個顧客需求之設計需求執行度上限；第三階段則為計算考量資源限制之設計需求執行度，並以三種模式進行求解。此外，第二與第三階段皆分為模糊品質屋及執行度決策模式兩部分進行，於第三階段之模糊品質屋方法，亦將設計需求競爭分析資訊納入考量，以利於經費運用效率之運算；執行度決策模式則皆採用模糊目標規劃進行求解，而執行度的計算將分為實際執行度與規劃執行度，避免在針對成本進行列式時，產生不符常理之情形，希望透過本研究的決策模式，除了能夠為決策者提供更加具體的決策方向之外，更得以在滿足顧客需求且考量資源限制的前提之下，找到決策者所能接受之顧客滿意度與成本滿意度之間的平衡點，進而最大化整體之滿意度總和。

Quality Function Deployment (QFD) has been widely used in enterprise product design, development and improvement. Because it is a customer-driven quality management tool, many studies have integrated customer satisfaction, budget constraints, and technical difficulties into the QFD decision-making model. However, some studies only carry out simple linear constraints on costs, and ignore issues such as resource allocation and diminishing marginal utility. Therefore, this research proposes a fuzzy quality function deployment mode, which takes resource constraints into account in order to make the decision-making results closer to practical applications.
The decision-making model used in this research is divided into three stages. The first stage is the integration of expert opinions. For each evaluation item in the house of quality, experts use fuzzy numbers to evaluate, and use group decision-making methods to integrate all their opinions. In the second stage, the upper limit of the fulfillment level of each design requirement is calculated. In the third stage, the fulfillment level of design requirements considering resource constraints are calculated, and solved in three different models. In addition, the calculation of the fulfillment levels will be divided into actual fulfillment levels and planned fulfillment levels to avoid unreasonable situations when the cost is considered in the budget function. It is hoped that through the modes proposed in this research, in addition to providing more specific decision-making guidance for decision-makers, the decision-making model will also help them find a balance between customer satisfaction and cost satisfaction that is acceptable under the premise of meeting customer needs and considering resource constraints.

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