選擇適合的半導體晶圓代工廠是無晶圓廠積體電路設計公司最重要的核心能力之一。為了滿足技術生命週期（TLC）每個階段不同的需求,各階段的技術具備不同的特性（如90奈米，65奈米等）。因此，在公司盈利持續成長的前提之下，如何選擇合適的晶圓代工廠已成為無晶圓廠積體電路設計公司成功創新時最重要的課題。在技術生命周期不同階段中公司必頇有不同的競爭優勢滿足顧客對於質與量的要求，才能維持最大利潤。儘管這樣的課題相當重要，之前的研究卻很少討論如何在技術生命周期不同階段中選擇適合的晶圓代工廠。大多數的研究只針對技術生命週期作討論，或是討論如何建立能夠獲利的夥伴關係。無晶圓廠積體電路設計公司時常必頇為了解決上述的問題而擬定適合的晶圓廠代工策略，本研究旨在發展一個基於模糊多準則之模糊積分的決策架構。為了考量準則之間的交互影響關係，研究中採用非加法型的模糊積分協助決策者評估適合的晶圓代工策略。透過文獻回顧和修正式德爾菲法確立本研究用於評估不同技術生命週期階段晶圓代工策略的準則，接者以解釋結構模型建立決策問題的架構。模糊層級分析法可以得到每個準則的相對權重，最後再以非加法型模糊積分求得策略的總和分數。再以群落分析將策略畫分群落，以組成策略組合。在第四章節以18位台灣半導體產業中的專家做為樣本，驗證提出的多準則決策架構並確立技術生命周期中評估和選擇晶圓代工廠的準則。此實證研究結果適用於無晶圓廠晶體電路設計公司。

Semiconductor foundry manipulation is one of the most important core-competences of fabless IC design houses’. However, due to the different characteristics of semiconductor manufacturing technologies at various stages of a technology life cycle (TLC) of some specific generation of process technology (e.g. 90nm, 65nm, etc.), satisfying different needs at each stage of a TLC under the premise that firms’ profitability can keep growing, choosing appropriate foundries has become daily critical for a fabless IC design house’s final success of innovation. In different stages of a TLC, firms have various advantages to maintain the maximum profit while assuring quality as well as on time delivery of foundry products. Albeit important, very few researches discussed how appropriate foundries can be determined. Most studies focused on the TLC only or focused on how profitable partnerships can be established. To define appropriate foundry strategies of fabless IC design houses’ to resolve the above mentioned problem which is usually faced by fabless IC design houses, this research aims to develop a fuzzy integral based fuzzy multiple criteria decision making (FMCDM) framework. Considering the characteristic of inter-dependences between criteria, a non-additive fuzzy integral based FMCDM model with ISM will be proposed for assisting decisions' makers in evaluating the most appropriate foundry strategies. Criteria for evaluating the foundry strategies at various stages of a TLC will first be summarized by literature and then be derived by using the modified Delphi process. Then, the ISM will be leveraged for deriving the decision problem structure. The Fuzzy Analytic Hierarchical Process will be leveraged for deriving weights versus each criterion. And the non-additive fuzzy integral will be leveraged to aggregate the performance value versus each alternative. Finally, foundry strategy portfolios clarify by cluster analysis method from the performance derived from fuzzy integral. An empirical study based on evaluating Taiwanese semiconductor experts will be leveraged to demonstrate the feasibility of the proposed MCDM framework. Criteria for evaluating and selecting foundries over a TLC will be derived. Further, the empirical study results can be leveraged by fabless design houses.

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