JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (1): 43-55.doi: 10.6040/j.issn.1671-9352.0.2016.174

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Model of low carbon remanufacturing logistics network based on robust optimization

LI Bo-tang, ZHAO Gang   

  1. College of Transport &
    Communications, Shanghai Maritime University, Shanghai 201306, China
  • Received:2016-04-20 Online:2017-01-20 Published:2017-01-16

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Abstract: In order to solve the issue of low-carbon remanufacturing logistic network designing under uncertain situation, in the case of carbon emissions trading, considering the uncertainty of transportation cost, demand and waste product quality, for the decision on the opening or closing of the recycling center and its expansion, the location of the remaining facilities and transportation routes between nodes, by using the robust optimization, to minimize the sum of carbon trading revenue and expenditure and logistics costs, we establishes the robust mixed linear programming of remanufacturing logistic network. According to the case verified the feasibility of the robust model, the analysis included the variation of carbon trading and uncertain parameter indicates the balance of optimality and robustness of robust model decision.

Key words: carbon emissions trading, remanufacturing logistics, robust optimization, network planning

CLC Number: 

  • F224
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