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

Authors: Gennady L. Brodetskiy; Denis A. Gusev; Ivan G. Shidlovskii

Addresses: Department of Logistics, Faculty of Business and Management, National Research University Higher School of Economics, 20 Myasnitskaya Ulitsa, Moscow 101000, Russia ' Department of Logistics, Faculty of Business and Management, National Research University Higher School of Economics, 20 Myasnitskaya Ulitsa, Moscow 101000, Russia ' Department of Logistics Infrastructure Management, Faculty of Business and Management, National Research University Higher School of Economics, 20 Myasnitskaya Ulitsa, Moscow 101000, Russia

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.

Keywords: choice at many criteria; uncertainty in logistics; supply chains risk management; selection procedures; synthesis of methods; inventory management.

DOI: 10.1504/IJLSM.2021.115483

International Journal of Logistics Systems and Management, 2021 Vol.39 No.2, pp.207 - 227

Received: 28 Mar 2019
Accepted: 18 Jun 2019
Published online: 07 Jun 2021 *

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