Revisiting the supplier selection problem: An integrated approach for group decision support

被引:70
作者
Kar, Arpan Kumar [1 ]
机构
[1] IIM Rohtak, Rohtak 124001, Haryana, India
关键词
Purchasing; Supplier selection; Vendor selection; Group decision making; Mathematical programming; Analytic Hierarchy Process; ANALYTIC HIERARCHY PROCESS; LINEAR-PROGRAMMING MODELS; MULTIPLE CRITERIA; VENDOR SELECTION; COMPARISON MATRIX; ORDER ALLOCATION; CONSENSUS MODEL; MAKING PROBLEMS; NETWORK PROCESS; CONSISTENCY;
D O I
10.1016/j.eswa.2013.10.009
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Decision support for supplier selection is a highly researched theme in procurement management literature. However applications of group decision support theories are yet to be explored extensively in this domain. This study proposes an approach for group decision support for the supplier selection problem by integrating fuzzy Analytic Hierarchy Process CARP) for group decision making and fuzzy goal programming for discriminant analysis. In the first step, the fuzzy AHP theory with the Geometric Mean Method has been used to prioritize and aggregate the preferences of a group of decision makers. Then consensus has been developed between these aggregated priorities using the Ordinal Consensus Improvement Approach. Subsequently, the consensual priorities of this group of decision makers have been integrated with fuzzy goal programming theory for discriminant analysis to provide predictive decision support. Finally it has been shown through a case study how the integrated approach using fuzzy AHP for group decision making and fuzzy goal programming with soft constraints has been more effective as compared to an existing approach for group decision making using only AHP. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2762 / 2771
页数:10
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