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Shipment in a multi-choice environment: a case study of shipping carriers in US

Author

Listed:
  • Shalabh Singh

    (Indian Institute of Management Raipur)

  • Sonia Singh

    (Indian Institute of Management, Prabandh Nagar)

Abstract

This research paper studies a bi-objective multi-choice scenario faced by a decision maker while shipping packets across a transportation network. A varying range of carriers with multiple time and cost options give rise to multi-choice parameters. In order to equip the decision maker for solving this multi-choice time–cost trade-off scenario, a multi-choice bi-objective transportation problem with fuzzy as well as crisp parameters is modeled. Firstly, a fuzzy transportation problem covering time critical services from a single shipping carrier is solved with the objective of minimizing total shipment cost along with the makespan. Further, the same problem has been analyzed considering multiple carriers for non-time critical services. The algorithms are validated on a use case covering ten major cities of the US with the time–cost data from UPS, FedEx and USPS.

Suggested Citation

  • Shalabh Singh & Sonia Singh, 2022. "Shipment in a multi-choice environment: a case study of shipping carriers in US," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1195-1219, December.
    • Handle: RePEc:spr:cejnor:v:30:y:2022:i:4:d:10.1007_s10100-021-00757-2
    DOI: 10.1007/s10100-021-00757-2
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. R. S. Garfinkel & M. R. Rao, 1971. "The bottleneck transportation problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 18(4), pages 465-472, December.
    3. Srikant Gupta & Irfan Ali & Aquil Ahmed, 2018. "Multi-objective capacitated transportation problem with mixed constraint: a case study of certain and uncertain environment," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 447-477, June.
    4. R. K. Ahuja, 1986. "Algorithms for the minimax transportation problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 33(4), pages 725-739, November.
    5. Chang, Ching-Ter, 2011. "Multi-choice goal programming with utility functions," European Journal of Operational Research, Elsevier, vol. 215(2), pages 439-445, December.
    6. Peter L. Hammer, 1969. "Time‐minimizing transportation problems," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 16(3), pages 345-357, September.
    7. P. L. Yu, 1973. "A Class of Solutions for Group Decision Problems," Management Science, INFORMS, vol. 19(8), pages 936-946, April.
    8. Varian, Hal R., 1989. "Price discrimination," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 1, chapter 10, pages 597-654, Elsevier.
    9. Tamiz, Mehrdad & Jones, Dylan & Romero, Carlos, 1998. "Goal programming for decision making: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 111(3), pages 569-581, December.
    10. Peter L. Hammer, 1971. "Communication on “the bottleneck transportation problem” and “some remarks on the time transportation problem”," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 18(4), pages 487-490, December.
    11. Sonia Singh & Shalabh Singh, 2018. "Bi-criteria transportation problem with multiple parameters," Annals of Operations Research, Springer, vol. 269(1), pages 667-692, October.
    12. Abd El-Wahed, Waiel F. & Lee, Sang M., 2006. "Interactive fuzzy goal programming for multi-objective transportation problems," Omega, Elsevier, vol. 34(2), pages 158-166, April.
    13. Chang, Ching-Ter, 2007. "Multi-choice goal programming," Omega, Elsevier, vol. 35(4), pages 389-396, August.
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