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A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach

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  • Maryam Abdirad
  • Krishna Krishnan
  • Deepak Gupta

Abstract

Industry 4.0 is a concept that assists companies in developing a modern supply chain (MSC) system when they are faced with a dynamic process. Because Industry 4.0 focuses on mobility and real-time integration, it is a good framework for a dynamic vehicle routing problem (DVRP). This research works on DVRP. The aim of this research is to minimize transportation cost without exceeding the capacity constraint of each vehicle while serving customer demands from a common depot. Meanwhile, new orders arrive at a specific time into the system while the vehicles are executing the delivery of existing orders. This paper presents a two-stage hybrid algorithm for solving the DVRP. In the first stage, construction algorithms are applied to develop the initial route. In the second stage, improvement algorithms are applied. Experimental results were designed for different sizes of problems. Analysis results show the effectiveness of the proposed algorithm.

Suggested Citation

  • Maryam Abdirad & Krishna Krishnan & Deepak Gupta, 2021. "A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(1), pages 69-83, January.
    • Handle: RePEc:taf:tjmaxx:v:8:y:2021:i:1:p:69-83
    DOI: 10.1080/23270012.2020.1811166
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    Cited by:

    1. James, Ajith Tom & Kumar, Girish & Tayal, Pushpal & Chauhan, Ashwin & Wadhawa, Chirag & Panchal, Jasmin, 2022. "Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Wai Peng Wong & Muhammad Fahad Anwar & Keng Lin Soh, 2024. "Transportation 4.0 in supply chain management: State-of-the-art and future directions towards 5.0 in the transportation sector," Operations Management Research, Springer, vol. 17(2), pages 683-710, June.
    3. Mohammadi, Mostafa & Rahmanifar, Golman & Hajiaghaei-Keshteli, Mostafa & Fusco, Gaetano & Colombaroni, Chiara & Sherafat, Ali, 2023. "A dynamic approach for the multi-compartment vehicle routing problem in waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    4. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.

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