Study of logistics network optimization model considering carbon emissions

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.

[1]  Daiki Min.  The Analysis of Carbon Emission Costs under Milk Run Logistics Strategy , 2015 .

[2]  Turan Paksoy,et al.  The implications of carbon pricing in Australia: An industrial logistics planning case study , 2013 .

[3]  Hong Yan,et al.  Low carbon logistics: Reducing shipment frequency to cut carbon emissions , 2015 .

[4]  Harold Krikke,et al.  Impact of closed-loop network configurations on carbon footprints: A case study in copiers , 2011 .

[5]  Jacqueline M. Bloemhof-Ruwaard,et al.  THE IMPACT OF PRODUCT RECOVERY ON LOGISTICS NETWORK DESIGN , 2001 .

[6]  Samir Elhedhli,et al.  Green supply chain network design to reduce carbon emissions , 2012 .

[7]  A. Ramudhin,et al.  Carbon market sensitive sustainable supply chain network design , 2010 .

[8]  Bo Meng,et al.  China’s inter-regional spillover of carbon emissions and domestic supply chains , 2013 .

[9]  Mingzhou Jin,et al.  The impact of carbon policies on supply chain design and logistics of a major retailer , 2014 .

[10]  JiangJun Yuan,et al.  Decision models of Multi Periods Closed Loop Supply Chain with Remanufacturing under Centralized and Decentralized Decision Making , 2015, CIT 2015.

[11]  A. Hu,et al.  Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management , 2013 .

[12]  Ki‐Hoon Lee.  Carbon accounting for supply chain management in the automobile industry , 2012 .

[13]  Xiaofan Lai,et al.  A multi-objective optimization for green supply chain network design , 2011, Decis. Support Syst..

[14]  Stephan M. Wagner,et al.  Modeling carbon footprints across the supply chain , 2010 .

[15]  Ali H. Diabat,et al.  A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences , 2013 .

[16]  Masato Inoue,et al.  Multi Criteria Simulation Model for Lead Times, Costs and CO2 Emissions in a Low-carbon Supply Chain Network☆ , 2015 .