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Design and Application of Genetic Algorithm Based on Signal Game and Newsboy Model for Optimizing Supply Chain

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  • Yue Zhao
  • Yang Shen
  • Jiaqi Yan
  • Daqing Gong

Abstract

Reasonable communication and cooperation between enterprises are helpful for the efficient operation of a supply chain. To explore the maximum utility of an entire supply chain, we propose a supplier-manufacturer-seller supply-chain game decision-making model. We use the model as the fitness function of a genetic algorithm that calculates the optimal solution and optimizes the total utility parameters. We analyze the theoretical and practical properties of the supply-chain optimization process and implement it in MATLAB, which provides quantitative support and useful references for making business decisions and optimally managing a supply chain.

Suggested Citation

  • Yue Zhao & Yang Shen & Jiaqi Yan & Daqing Gong, 2021. "Design and Application of Genetic Algorithm Based on Signal Game and Newsboy Model for Optimizing Supply Chain," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-9, August.
    • Handle: RePEc:hin:jnddns:6144258
    DOI: 10.1155/2021/6144258
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