• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 58 Issue 5
Oct.  2023
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Article Contents
TANG Xifeng, HE Jie, ZHANG Hao. Two-Echelon Location Routing Problem Considering Carbon Emissions and Its Algorithm[J]. Journal of Southwest Jiaotong University, 2023, 58(5): 1110-1116, 1125. doi: 10.3969/j.issn.0258-2724.20210773
Citation: TANG Xifeng, HE Jie, ZHANG Hao. Two-Echelon Location Routing Problem Considering Carbon Emissions and Its Algorithm[J]. Journal of Southwest Jiaotong University, 2023, 58(5): 1110-1116, 1125. doi: 10.3969/j.issn.0258-2724.20210773

Two-Echelon Location Routing Problem Considering Carbon Emissions and Its Algorithm

doi: 10.3969/j.issn.0258-2724.20210773
  • Received Date: 01 Oct 2021
  • Rev Recd Date: 08 Jan 2022
  • Available Online: 13 Apr 2023
  • Publish Date: 14 Jan 2022
  • To reduce the carbon emissions from logistics vehicles, this paper presented a two-echelon location routing problem (2E-LRP) model aiming at minimizing carbon emissions based on a carbon emission calculation method employing emission factors as the key parameter. The paper also designed a two-stage hybrid algorithm (TSHA) capable of rapidly solving a large-scale problem. The algorithm first simplified the 2E-LRP into the two-echelon facility location problem without taking vehicle routes into account and called Cplex to solve it to obtain the location solution of distribution centers and the assignment solution of customers. Based on the above solutions, the 2E-LRP was transformed into independent vehicle route problems, and then an improved ant colony algorithm was employed for a solution. All six largest-sized instances from the standard Prodhon benchmark were tested. The test results show that the TSHA-Ⅱ, with the same algorithm ideas as TSHA, can reduce the computation time to about 25 seconds with a decrease of 2.3% in solution quality. The TSHA is stable in solving 2E-LRP considering carbon emissions and can be used as an effective algorithm to solve the 2E-LRP considering carbon emissions.

     

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