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A decentralized multi-level decision making model for solid transportation problem with uncertainty

Author

Listed:
  • Syed Aqib Jalil

    (Aligarh Muslim University)

  • Shakeel Javaid

    (Aligarh Muslim University)

  • Syed Mohd Muneeb

    (Aligarh Muslim University)

Abstract

In this paper, a multi-level model for the solid transportation problem having uncertain variables is presented. Multi-level programming deals with the situation where more than one decision maker is available to model decentralized planning problem in any hierarchical system. In the model presented in this paper, all the parameters involved viz. transportation costs, supply availabilities, demands and conveyance capacities are considered as uncertain parameters. As the problem is based on uncertainty theory, the idea of minimizing (or maximizing) the expectation of objective functions under the set of chance constraints is followed to formulate the problem. A crisp model equivalent to the multi-level uncertain solid transportation problem is also given. A fuzzy based solution approach for solving multi-level programming problems is discussed to solve the presented model. Further, a numerical example of a three-level uncertain solid transportation problem with two conveyance options is given in order to understand the model more clearly.

Suggested Citation

  • Syed Aqib Jalil & Shakeel Javaid & Syed Mohd Muneeb, 2018. "A decentralized multi-level decision making model for solid transportation problem with uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(5), pages 1022-1033, October.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:5:d:10.1007_s13198-018-0720-2
    DOI: 10.1007/s13198-018-0720-2
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    References listed on IDEAS

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    6. Ahmad Yusuf Adhami & Syed Mohd Muneeb & Mohammad Asim Nomani, 2017. "A multilevel decision making model for the supplier selection problem in a fuzzy situation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(4), pages 5-26.
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    Cited by:

    1. Srikant Gupta & Irfan Ali & Aquil Ahmed, 2018. "Multi-objective bi-level supply chain network order allocation problem under fuzziness," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 721-748, November.

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