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The Location-Routing Problem with Full Truckloads in Low-Carbon Supply Chain Network Designing

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  • Cheng Chen
  • Rongzu Qiu
  • Xisheng Hu

Abstract

In recent years, low-carbon supply chain network design has been the focus of studies as the development of low-carbon economy. The location-routing problem with full truckloads (LRPFT) is investigated in this paper, which extends the existing studies on the LRP to full truckloads problem within the regional many-to-many raw material supply network. A mathematical model with dual objectives of minimizing total cost and environmental effects simultaneously is developed to determine the number and locations of facilities and optimize the flows among different kinds of nodes and routes of trucks as well. A novel multiobjective hybrid approach named NSGA-II-TS is proposed by combining a known multiobjective algorithm, NSGA-II, and a known heuristics, Tabu Search (TS). A chromosome presentation based on natural number and modified partially mapping crossover operator for the LRPFT are designed. Finally, the computational effectiveness of the hybrid approach is validated by the numerical results and a practical case study is applied to demonstrate the tradeoff between total cost and CO 2 emission in the LRPFT.

Suggested Citation

  • Cheng Chen & Rongzu Qiu & Xisheng Hu, 2018. "The Location-Routing Problem with Full Truckloads in Low-Carbon Supply Chain Network Designing," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, May.
    • Handle: RePEc:hin:jnlmpe:6315631
    DOI: 10.1155/2018/6315631
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    Cited by:

    1. Longlong Leng & Yanwei Zhao & Jingling Zhang & Chunmiao Zhang, 2019. "An Effective Approach for the Multiobjective Regional Low-Carbon Location-Routing Problem," IJERPH, MDPI, vol. 16(11), pages 1-28, June.
    2. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
    3. M. Tadaros & A. Migdalas, 2022. "Bi- and multi-objective location routing problems: classification and literature review," Operational Research, Springer, vol. 22(5), pages 4641-4683, November.
    4. Tran, Trung Hieu & Nguyen, Thu Ba T. & Le, Hoa Sen T. & Phung, Duc Chinh, 2024. "Formulation and solution technique for agricultural waste collection and transport network design," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1152-1169.
    5. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    6. Kang-Lin Chiang, 2024. "Delivering Goods Sustainably: A Fuzzy Nonlinear Multi-Objective Programming Approach for E-Commerce Logistics in Taiwan," Sustainability, MDPI, vol. 16(13), pages 1-17, July.

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