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Multi-criteria optimisation under the conditions of uncertainty in logistics and supply chain management

Author

Listed:
  • Gennady L. Brodetskiy
  • Denis A. Gusev
  • Ivan G. Shidlovskii

Abstract

The purpose of this paper is to research multi-criteria decision-making optimisation problems of logistics systems and supply chains considering conditions of uncertainty. The article presents an approach that allows adapting the procedures of multi-criteria optimisation to the format of conditions of uncertainty. This approach is relevant for the situation when a manager does not have reliable estimates for the probability of random events and cannot use decision-making methods under risk conditions. The study proposes the synthesis of optimisation procedures, including the format of the multiple criteria decision-making theory and the format of procedures developed in the theory of decision-making in conditions of uncertainty. The specifics of this approach and algorithm for optimising such solutions are presented according to the inventory management problem.

Suggested Citation

  • Gennady L. Brodetskiy & Denis A. Gusev & Ivan G. Shidlovskii, 2021. "Multi-criteria optimisation under the conditions of uncertainty in logistics and supply chain management," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 39(2), pages 207-227.
    • Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:207-227
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