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A Humanitarian Green Supply Chain Management Considering Minimum Cost and Time

Author

Listed:
  • Dipanjana Sengupta

    (National Institute of Technology, Agartala, India)

  • Amrit Das

    (Vellore Institute of Technology, India)

  • Uttam Kumar Bera

    (National Institute of Technology, Agartala, India)

  • Anirban Dutta

    (National Institute of Technology, Agartala, India)

Abstract

Disaster is the sudden problem of the world. There is no time bound. By disaster, all the creatures of the earth are affected. Here, the authors have tried to show some issues which are related to the natural calamities and green transportation. The main investigation of the paper is to describe about humanitarian supply chain management with optimized transportation cost, time, and carbon emission. Here a real-life problem of flood affected area has been chosen. When such disasters happen, quick response can reduce the devastation and save lives, and thus, it requires fulfilling the basic humanitarian needs of the affected population. In such case, organizations should also maintain the emission of the vehicles in safe range to mitigate the further disaster by pollution. A multi-objective solid transportation problem considering cost, time, and emission has been presented here. To solve the problem, this paper has used goal programming method and pareto optimal solution method. A comparison of results is also shown later. Some managerial insights are drawn to describe the situation.

Suggested Citation

  • Dipanjana Sengupta & Amrit Das & Uttam Kumar Bera & Anirban Dutta, 2021. "A Humanitarian Green Supply Chain Management Considering Minimum Cost and Time," International Journal of Business Analytics (IJBAN), IGI Global, vol. 8(2), pages 63-82, April.
    • Handle: RePEc:igg:jban00:v:8:y:2021:i:2:p:63-82
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    Citations

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    Cited by:

    1. Amrit Das & Gyu M. Lee, 2021. "A Multi-Objective Stochastic Solid Transportation Problem with the Supply, Demand, and Conveyance Capacity Following the Weibull Distribution," Mathematics, MDPI, vol. 9(15), pages 1-21, July.
    2. Singh, Bikramjit & Singh, Amarinder, 2023. "Hybrid particle swarm optimization for pure integer linear solid transportation problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 243-266.

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