Aplikace evolučního algoritmu pro podporu rozhodování v oblasti budování odolnosti průmyslových dodavatelských řetězců

Abstract

This dissertation thesis deals with the issue of industrial supply chain management. It examines current trends in the field, focusing on the concept of supply chain resilience that has arisen in response to changing conditions in the global market environment. Although supply chain resilience building is gaining increasing interest among the professional public and business practice, the issue of supporting decision-making in supply chain resilience building is still in its infancy, which has led the author to define the following main aim and sub-objectives of the dissertation. The main aim of the dissertation: Application of the evolutionary algorithm to the mathematical model of the supply chain to support strategic decision-making on the allocation of funds to build supply chain resilience. Sub-objectives of the dissertation: • Designing a mathematical model of the supply chain to assess the impact of funds allocated to strengthening the resilience of the supply chain to its overall performance. • Testing of the proposed model on a model example of an industrial supply chain. • Optimization of the mathematical model using a selected evolutionary algorithm enabling determination of effective allocation of available funds to individual supply chain links while maximizing the overall economic effect of the measures taken. In order to meet the objectives of the thesis, it includes defining the issues of supply chain resilience, evolutionary algorithms and their existing applications in supply chain management, creating a mathematical model, implementing a model and differential evolution algorithm, and optimizing the model metallurgical supply chain.