Study of logistics network optimization model considering carbon emissions-Reference-Cited by-同舟云学术

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Study of logistics network optimization model considering carbon emissions

Published:2017-01-31 Issue:S2 Volume:8 Page:1102-1108
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Ye Yong,Wang Jing

Funder

the Key Program in the Youth Elite Support Plan in Universities of Anhui Province

the Key Research Projects of Humanities and Social Science in University of Anhui Province

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/article/10.1007/s13198-017-0576-x/fulltext.html

Reference16 articles.

1. Elhedhli S, Merrick R (2012) Green supply chain network design to reduce carbon emissions. Transp Res Part D Transp Environ 17(5):370–379

2. Fahimnia B, Reisi M, Paksoy T, Özceylan E (2013) The implications of carbon pricing in Australia: an industrial logistics planning case study. Transp Res Part D Transp Environ 18:78–85

3. Fleischmann M, Beullens P, Bloemhof-Ruwaard JM, Wassenhove LN (2001) The impact of product recovery on logistics network design. Prod Oper Manag 10(2):156–173

4. Hsu CW, Kuo TC, Chen SH, Hu AH (2013) Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. J Clean Prod 56:164–172

5. Jin M, Granda-Marulanda NA, Down I (2014) The impact of carbon policies on supply chain design and logistics of a major retailer. J Clean Prod 85:453–461

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