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  • 标题:The Combination of Discrete-Event Simulation and Genetic Algorithm for Solving the Stochastic Multi-Product Inventory Optimization Problem
  • 本地全文:下载
  • 作者:Ilya Jackson ; Jurijs Tolujevs ; Tobias Reggelin
  • 期刊名称:Transport and Telecommunication Journal
  • 印刷版ISSN:1407-6160
  • 电子版ISSN:1407-6179
  • 出版年度:2018
  • 卷号:19
  • 期号:3
  • 页码:233-243
  • DOI:10.2478/ttj-2018-0020
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要:The paper describes an eventual combination of discrete-event simulation and genetic algorithm to define the optimal inventory policy in stochastic multi-product inventory systems. The discrete-event model under consideration corresponds to the just-in-time inventory control system with a flexible reorder point. The system operates under stochastic demand and replenishment lead time. The utilized genetic algorithm is distinguished for a non-binary chromosome encoding, uniform crossover and two mutation operators. The paper contains a detailed description of the optimization technique and the numerical example of six- product inventory model. The proposed approach contributes to the field of industrial engineering by providing a simple, but still efficient way to compute nearly-optimal inventory parameters with regard to risk and reliability policy. Besides, the method may be applied in automated ordering systems.
  • 关键词:stochastic inventory optimization ; simulation-based optimization ; simheuristics ; smart solutions ; non-binary chromosome encoding
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