設計鏈夥伴評選為協同開發新產品過程中之最主要的成功關鍵因素。由於產品的生命週期逐漸縮短及產品複雜度增加,因此企業必須在短時間內透過結合其他合作夥伴的核心技術來進行新產品開發。為了協助企業尋找最適合的設計鏈夥伴,本研究建立設計鏈夥伴評選層級架構,並發展標竿為基之混合式設計鏈夥伴評選方法論。該方法論首先運用資料包絡分析法建立設計鏈夥伴初步評選模式,找出具有效率的設計鏈夥伴。為排序有效率的設計鏈夥伴,本論文結合偏好順序評估法(Technique for Order Preference by Similarity to Ideal Solution, TOPSIS)與分析層級程序法(Analytic Hierarchy Process, AHP),建立設計鏈夥伴優勢排序,使其能找出最適的設計鏈夥伴。此外,針對不具效率的夥伴,本研究運用差額變數分析,提供這些夥伴具體的改善方向與建議。
Design chain partner evaluation is a crucial factor to the success of new product development. With the gradual shortening of life cycles, and increases of product complexity, companies must develop new products in combination with core technologies of partners within a short period. To assist companies searching for optimum design chain partners, this research established a design chain partner evaluation hierarchy structure, and developed a benchmark-based hybrid evaluation methodology for design chain partners. Firstly, Data Envelopment Analysis (DEA) was employed to establish a preliminary evaluation model of design chain partners and identify an efficient design chain partners. By combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP), this research established priority ranking of design chain partners to determine the optimum partner. Moreover, for partners without efficiencies, this research used slack variables analysis to provide suggestions for improvement.