Study of logistics network optimization model considering carbon emissions

Yong Ye () and Jing Wang ()
Additional contact information
Yong Ye: Anhui Agriculture University
Jing Wang: Anhui Agriculture University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 45, 1102-1108

Abstract: Abstract Carbon emissions trading is a mitigation of greenhouse important measures, as well as one of the hot researches. As large energy consumption, reducing emissions of carbon during the development of logistics plays crucial role in the development of low carbon economy. The establishment of a multi-level logistics network optimization model was divided into two stages: the first stage is to realize the optimization of each network node in the supply chain, and the second stage is about the optimization of logistics distribution path. Considering coefficient of carbon emissions and integrating it into the objective function, it used Lingo software respectively to analyze numerical of the benefits of whether considering carbon emissions or not in logistics network. The results of two cases show that the design of logistics network which considering carbon emissions of can effectively reduce logistics more significantly enhance the social benefit of logistics and it can also conform the basic state policy of sustainable development in other words. Finally, logistics network optimization model considering carbon emissions has more extensive practical significance.

Keywords: Carbon emissions; Logistics network optimization model; Sustainable distribution path (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-017-0576-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0576-x

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-017-0576-x

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().