Low-carbon Closed-loop Logistics Network Design based on Interval Number Multi-attribute Decision and Queuing Theory

2014 ◽  
Vol 7 (3) ◽  
pp. 235-248 ◽  
Author(s):  
Qichao He ◽  
Wenping Luo
Keyword(s):  
Network Design ◽  
Queuing Theory ◽  
Closed Loop ◽  
Interval Number ◽  
Low Carbon ◽  
Logistics Network

Research on Remanufacturing Closed-Loop Logistics Network Design under Low-Carbon Restriction

2012 ◽  
Vol 159 ◽  
pp. 224-234
Author(s):  
Ya Can Wang ◽  
Tao Lu ◽  
Chun Hua Gao ◽  
Chun Hui Zhang ◽  
Chi Chen
Keyword(s):  
Network Design ◽  
Co2 Emission ◽  
Closed Loop ◽  
Programming Model ◽  
Pareto Frontier ◽  
Mixed Integer ◽  
Low Carbon ◽  
Waste Generation ◽  
Low Carbon Economy ◽  
Logistics Network

In this paper we study how to trade off the economic and ecological effects in the remanufacturing closed-loop logistics network design in the context of low-carbon economy. We establish a multi-objective mixed integer linear programming model to find the optimal facility locations and materials flow allocation. In the objective function, we set three minimum targets: economic cost, CO2 emission and waste generation. Through an iterative algorithm, we get the Pareto Frontier of our problem. In the numeric study, we find that in order to achieve a Pareto improvement over an original system, three of the critical rates (i.e. return rate, recovery rate, and cost substitute rate) should be increased. Also, to meet the need of low-carbon dioxide, we plot an iso-CO2 emission curve in which decision makers have a series of optimal choices with the same CO2 emission but different cost and waste generation. Each choice may have different network design but all of these are Pareto optimal solutions, which provide a comprehensive evaluation of both economics and ecology for the decision making.

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