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An Enhanced Two-Phase Fuzzy Programming Model for Multi-Objective Supplier Selection Problem
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 Title & Authors
An Enhanced Two-Phase Fuzzy Programming Model for Multi-Objective Supplier Selection Problem
Fatrias, Dicky; Shimizu, Yoshiaki;
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 Abstract
Supplier selection is an essential task within the purchasing function of supply chain management because it provides companies with opportunities to reduce various costs and realize stable and reliable production. However, many companies find it difficult to determine which suppliers should be targeted as each of them has varying strengths and weaknesses in performance which require careful screening by the purchaser. Moreover, information required to assess suppliers is not known precisely and typically fuzzy in nature. In this paper, therefore, fuzzy multi-objective linear programming (fuzzy MOLP) is presented under fuzzy goals: cost minimization, service level maximization and purchasing risk. To solve the problem, we introduce an enhanced two-phase approach of fuzzy linear programming for the supplier selection. In formulated problem, Analytical Hierarchy Process (AHP) is used to determine the weights of criteria, and Taguchi Loss Function is employed to quantify purchasing risk. Finally, we provide a set of alternative solution which enables decision maker (DM) to select the best compromise solution based on his/her preference. Numerical experiment is provided to demonstrate our approach.
 Keywords
Supplier Selection;Two-Phase Fuzzy Programming;Supply Chain;
 Language
English
 Cited by
1.
공급망 운영에 있어서의 협력적 계획수립 프로세스에 관한 연구,송재길;송상화;

한국경영공학회지, 2016. vol.21. 2, pp.73-91
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