A stochastic simulation-based holistic evaluation approach with DEA for vendor selection

被引:16
作者
Park, SeJoon [1 ]
Ok, Changsoo [2 ]
Ha, Chunghun [2 ]
机构
[1] Myongji Univ, Dept Ind & Management Engn, 116 Myongji Ro, Yongin, Gyeonggi Do, South Korea
[2] Hongik Univ, Dept Ind Engn, 94 Wausan Ro, Seoul 04066, South Korea
基金
新加坡国家研究基金会;
关键词
Vendor selection problem; Data envelopment analysis; Monte Carlo simulation; SUPPLY CHAIN RISK; NETWORK DEA; ENVELOPMENT ANALYSIS; FUZZY DATA; PERFORMANCE; SYSTEM; MODEL;
D O I
10.1016/j.cor.2017.08.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper aims to propose a new vendor evaluation framework by incorporating stochastic discrete event simulation and data envelopment analysis (DEA) approaches. The proposed approach enables the assessment of decision-making units (DMUs) in a holistic manner by adopting a simulation scheme and defining DMUs not as individual vendors, but as entire supply chains. Extensive experimental results show that the efficiency of a supply chain is not critically proportional to the efficiencies of individual suppliers. Moreover, procurement performance depends on the harmonic performance of the entire supply chain that includes vendors, procurement structure, ordering and safety stock policy of buyer, and demand variability rather than each supplier's performance. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:368 / 378
页数:11
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