A Location Decision for Chinese Remanufacturing Logistics Network Based on Improved Super-Efficiency DEA: Carbon Emission Constraints Perspective
Pages 87 - 92
Abstract
Considering the economy and the carbon constraint goals, this paper constructs an input-output index system for the Chinese remanufacturing logistics network, and proposes a location model for the remanufacturing logistics network based on super-efficiency DEA. And in the Chinese practical example of remanufacturing logistics network location, super-efficiency DEA model is improved, investment efficiencies of the options are evaluated and analyzed, thus provides a basis for enterprises' decision making of remanufacturing logistics network design and construction. This paper proves the rationality and effectiveness of super-efficiency DEA on the network location problem considering the economy and environmental constraints.
References
[1]
Fleischmann M, Beullens P, Bloemhof-Ruwaard J M, etal. 2001.The impact of product recovery on logistics network design. Production Operations Manage, 10(2):156--173.
[2]
Yacan Wang, Tao Lu, Chunhui Zhang.2013. Integrated Logistics Network Designin Hybrid Manufacturing/Remanufacturing System Under Low-Carbon Restriction. Springer-Verlag Berlin Heidelberg.
[3]
GuQiaolun, Chen Qiushuang.2004. Research on the Extended Model for Logistics Network Integrating Remanufacturing and Manufacturing System. Information and Control, 33 (5):618--622.
[4]
Ma Zujun, Dai Ying, Liu Fei.2005. Robust Optimal Design of Remanufacturing Logistics Networks. Systems Engineering, 23(l):74--78.
[5]
Jayaraman V, Guide Jr. VD.Srivastava R.1999. A Closed Loop Logistics Model for Remanufacturing. Journal of the Operational Research Society, 50(5).
[6]
Cachon, G.2009. Carbon Footprint and the Management of Supply Chains. The INFORMS Annual Meeting, San Diego, CA.
[7]
Paksoy T, Özceylan E, Weber G-W. 2010 A Multi Objective Model for Optimization of a Green Supply Chain Network. In: Third Global Conference on Power Control and Optimization.
[8]
Zhang Qi, Li Wenhui, Wang Hongcheng.2014. Remanufacturing Integrated Logistics Network design inCarbon Trading Market.Journal of China University of Geosciences.
[9]
Xiao Jian, Chen Yihua. 2006.Distribution center relocation model and solution based on DEA. Journal of Systems Engineering, 21(4):442--445.
[10]
Korpela J, Lehmusvaara A, Nisonen J.2007.Warehouse operator selection by combining AHP and DEA methodologies. International Journal of Production Economics, 108: 135--142.
Index Terms
- A Location Decision for Chinese Remanufacturing Logistics Network Based on Improved Super-Efficiency DEA: Carbon Emission Constraints Perspective
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Published In
August 2017
107 pages
ISBN:9781450353519
DOI:10.1145/3133811
Copyright © 2017 ACM.
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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- Waseda University: Waseda University
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Association for Computing Machinery
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Published: 17 August 2017
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ICIBE 2017
ICIBE 2017: 2017 3rd International Conference on Industrial and Business Engineering
August 17 - 19, 2017
Sapporo, Japan
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