- 學位論文
運用 FANP-GP 法與 De Novo 規劃法建立理想化的供應商選擇模型
Using the FANP-GP method and De Novo programming to construct an ideal supplier selection model
摘要
現今企業經營環境處於高度不確定性及面臨全球化競爭的壓力下，大多數企業紛紛尋求與公司策略相謀合之適當的供應商，和其建立密切的合作關係，以加強彼此競爭力，創造「雙贏」的局面。因此，本研究提出 FANP-GP (Fuzzy Analytic Network Process- Goal Programming) 方法並且運用 De Novo 規劃法調整供應商的產能達到理想化的解，解決供應商選擇的問題。此方法可分為兩階段：第一階段運用 FANP-GP 法，是以網絡分析 (ANP) 法結合模糊偏好規劃 (FPP) 法求算出各候選供應商的權重，及利用目標規劃 (GP) 法求算出最適供應商及應採購的數量；第二階段運用 De Novo 規劃法探討在第一階段中選出的供應商，藉由資源限制的調整，讓供應商提高產能，並且達到最低的成本。最後利用某汽車公司的供應商說明此法可完整且彈性的評估所有供應廠商，以期達到企業的各種不同策略目標需求，建立供應商的長期合作之夥伴關係。
並列摘要
Nowadays, most enterprises are under a high pressure of an uncertainty and global competition environment. In order to reinforce the competitive and achievement in the「Win-win」situation, many enterprises are seeking for their appropriate supplies, who are necessary to match their business strategy, to establish partner relationship. Therefore, this study is trying to propose a FANP-GP (Fuzzy Analytic Network Process- Goal Programming) model for solving the suppler selection problem. FANP-GP model contains two stages. In the first stage, FANP is applied combines Analytic Network Process (ANP) with Fuzzy Preference Programming (FPP), to solve the fuzzy and uncertain factors. Then, Goal Programming (GP) is used to make a decision on assigning order quantities to the appropriate suppliers. In the second stage, the De Novo programming is applied to achieve the resource allocation in promoting manufacturer’s capacities and decreasing their production cost based on the selected suppliers of the first stage. Finally, this study is examined by an example of automobile manufacturer to illustrate the processes of FANP-GP model and evaluate all candidate supplies. This result also can achieve various business strategies and establish the supplier's cooperative partnership.