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Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading
Sodenkamp, Mariya; Tavana, Madjid; Di Caprio, Debora (2016): Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading, in: European Journal of Operational Research, Amsterdam ; Boston, Mass. ; London ; New York, NY ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis: Elsevier, Jg. 254, Nr. 3, S. 859–874, doi: 10.1016/j.ejor.2016.04.015.
Faculty/Chair:
Author:
Title of the Journal:
European Journal of Operational Research
ISSN:
0377-2217
Publisher Information:
Year of publication:
2016
Volume:
254
Issue:
3
Pages:
Language:
English
Abstract:
We propose a novel meta-approach to support collaborative multi-objective supplier selection and order allocation (SSOA) decisions by integrating multi criteria decision analysis and linear programming (LP). The proposed model accounts for suppliers’ performance synergy effects within a hierarchical decision structure. It incorporates both heterogeneous objective data and subjective judgments of the decision makers (DMs) representing various groups with different voting powers (VPs). We maximize the total value of purchasing (TVP) by optimizing order quantity assignment to suppliers and taking into consideration their synergies encountered in different time horizons. We apply the proposed model to a contractor selection and order quantity assignment problem in an agricultural commodity trading (ACT) company. We maximize the strategic effectiveness of both the customers and the suppliers, minimize risks, increase the degree of cooperation between trading partners on all levels of supply chain integration, enhance transparent knowledge sharing and aggregation, and support collaborative decision making.
Keywords:
Multi-objective decision making; Supplier selection and order allocation; Synergy of alternatives; Total value of purchasing; Voting power
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Article
Activation date:
August 5, 2016
Permalink
https://fis.uni-bamberg.de/handle/uniba/40807