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Mathematical Problems in Engineering
Volume 2014, Article ID 616107, 11 pages
Research Article

A Multiobjective Optimization Model of Production-Sourcing for Sustainable Supply Chain with Consideration of Social, Environmental, and Economic Factors

1School of Business, Sun Yat-sen University, Guangzhou 510275, China
2WFI, Ingolstadt School of Management, Catholic University of Eichstätt-Ingolstadt, 85072 Eichstätt, Germany

Received 20 January 2014; Revised 31 March 2014; Accepted 4 April 2014; Published 27 April 2014

Academic Editor: Hamid Reza Karimi

Copyright © 2014 Zhixiang Chen and Svenja Andresen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper incorporates the three pillars of sustainability—economic, environmental, and social dimensions—into a supply chain. A multiobjective programming model which jointly minimizes costs, emissions, and employee injuries in a supply chain is first constructed. Using the weighted-sum approach with weights setting by the analytic hierarchy process (AHP), the model is solved by normalization of the minima of the three objectives. A numerical example is conducted to test the model. The results show that it is indeed possible to integrate environmental and social metrics in supply chain system optimization. Multiobjective optimization can balance the social, environmental, and economic performance. This paper presents a new multidimension perspective for optimizing supply chain; it will inspire practitioners to change their decision ideas and improve supply chain sustainability.