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Abstract <p>This paper develops single-period and multiperiod models for assessing the efficiency of projects related to the creation of production enterprises in conditions of both deterministic setting of the parameters of these models and taking into account the uncertainty of indicators. The use of the branch-and-bound method based on a directed search with iterative calculation of the upper and lower current estimates to solve the problem of choosing the optimal output of the final products is proposed. Approaches to analyzing the stability of the optimal solutions under changes in the model parameters and model optimality criterion are considered. The methodology of quantitative assessment of possible risks of production programs is proposed. The use of the developed methods and models will provide the possibility of making managerial decisions in the presence of risk factors and uncertainty, increasing the efficiency of project management implementation at production enterprises.</p>

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Models for Assessing the Effectiveness of a Project for Creating a Production Enterprise

  • 期刊论文

  • 发表日期：

    2025年4月1日

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  • I. A. Borisov,
  • O. A. Kosorukov,
  • A. V. Mishchenko,
  • V. I. Tsurkov

摘要

Abstract

This paper develops single-period and multiperiod models for assessing the efficiency of projects related to the creation of production enterprises in conditions of both deterministic setting of the parameters of these models and taking into account the uncertainty of indicators. The use of the branch-and-bound method based on a directed search with iterative calculation of the upper and lower current estimates to solve the problem of choosing the optimal output of the final products is proposed. Approaches to analyzing the stability of the optimal solutions under changes in the model parameters and model optimality criterion are considered. The methodology of quantitative assessment of possible risks of production programs is proposed. The use of the developed methods and models will provide the possibility of making managerial decisions in the presence of risk factors and uncertainty, increasing the efficiency of project management implementation at production enterprises.