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Mathematical Problems in Engineering
Volume 2017, Article ID 9897850, 11 pages
Research Article

Sustainable Logistics Network Modeling for Enterprise Supply Chain

School of Automobile, Chang’an University, Xi’an, Shaanxi, China

Correspondence should be addressed to Lan Zhu; moc.361@gnithgifnaluhz

Received 9 September 2016; Revised 27 December 2016; Accepted 5 January 2017; Published 15 February 2017

Academic Editor: Rita Gamberini

Copyright © 2017 Lan Zhu and Dawei Hu. 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.


With the expansion of the study about green logistics, sustainable supply chain management (SSCM) has appeared as a new concept in current economic circumstance. This paper studies the sustainability optimization of enterprise logistics network from a strategic perspective and proposes a multiobjective sustainable logistics optimization model considering three dimensions of sustainability: economy, environment, and society. In this model, the environment factor was measured with a Life Cycle Assessment (LCA) method based on Chinese Life Cycle Database (CLCD), while for social factors, Sustainability Reporting Guidelines (GRI) are utilized to quantify the social performance. Moreover, the model was solved with an adapted version of the -constraint method named augment constraint algorithm (AUGMENCON) through GAMS software. The numerical experiment results of a computer manufacturer supply chain show that the proposed model is able to integrate all dimensions of sustainability and simultaneously prove the capability of AUGMENCON in providing a set of trade-off solutions for the decision makers to make different decisions under different environment and social requirements.