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Abstract <p> In today’s inventory management, there is a need to optimize new models in order toselect the best solution to ensure order fulfillment. These models must take into account variousuncertainties, as well as the concept of time value of money. At the same time, it is important tonote that in practice, appropriate solutions are often multicriteria due to the complex nature ofsupply chains.</p> <p>To address this, the authors have developed a method for optimizing such tasksbased on a combination of multicriteria optimization procedures and decision making underuncertainty. However, this approach is shown to require further refinement in practice. Theproposed refinement aims to assist managers in avoiding undesirable outcomes related toalternative selection. These are situations related to phenomena that lead to the selection ofalternatives that may not be optimal for the preferences of the decision maker.</p> <p>The corresponding adjustment would result in introduction of a specific feature inthe form of optimization procedures. In such an adjustment, it is proposed to present initialindicators of given specific criteria on the basis of so-called aggregated data, which eliminates thefactor of dimensionality. A numerical example is provided using the development of a stockmanagement strategy as an example, considering the need to select a logistics intermediary and inconditions of uncertainty regarding demand and potential delays in delivery. In this scenario,a weighted average of estimates of specific criteria is used as the selection criterion and theHurwitz criterion is employed to account for uncertainty.</p>

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Optimization of Inventory Management Strategies for Order Deliveries Using Multicriteria Decision Making under Conditions of Uncertainty

  • 期刊论文

  • 发表日期：

    2025年11月2日

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  • D. A. Gusev,
  • O. A. Sviridova,
  • I. G. Shidlovskii,
  • G. L. Brodetskiy

摘要

Abstract

In today’s inventory management, there is a need to optimize new models in order toselect the best solution to ensure order fulfillment. These models must take into account variousuncertainties, as well as the concept of time value of money. At the same time, it is important tonote that in practice, appropriate solutions are often multicriteria due to the complex nature ofsupply chains.

To address this, the authors have developed a method for optimizing such tasksbased on a combination of multicriteria optimization procedures and decision making underuncertainty. However, this approach is shown to require further refinement in practice. Theproposed refinement aims to assist managers in avoiding undesirable outcomes related toalternative selection. These are situations related to phenomena that lead to the selection ofalternatives that may not be optimal for the preferences of the decision maker.

The corresponding adjustment would result in introduction of a specific feature inthe form of optimization procedures. In such an adjustment, it is proposed to present initialindicators of given specific criteria on the basis of so-called aggregated data, which eliminates thefactor of dimensionality. A numerical example is provided using the development of a stockmanagement strategy as an example, considering the need to select a logistics intermediary and inconditions of uncertainty regarding demand and potential delays in delivery. In this scenario,a weighted average of estimates of specific criteria is used as the selection criterion and theHurwitz criterion is employed to account for uncertainty.