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Layout optimization of multi-level cold chain storage facilities in agricultural producing areas considering type and capacity constraints

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  • Qian Huang
  • Guijun Zheng
  • Shuangli Pan
  • Huiyu Liao
  • Zehua Jiang

Abstract

The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. Cold chain storage facilities in agricultural producing areas play an important role in ensuring the quality of agricultural products, extending the freshness period of goods, and improving logistics efficiency. Different types of fresh produce have different requirements for refrigeration and often require transshipment due to quantity constraints. In addition, there are economies of scale in the construction and operation of cold chain storage facilities. Based on the above considerations, with the aim of minimizing the total daily cost, an optimization model for the layout of multi-level cold chain storage facilities is established to determine the number, location, type and capacity of cold chain storage facilities at the same time. Genetic algorithm is chosen to solve the model according to the characteristics of the model. Taking J County of China as an example, the model is proved to have strong operability and applicability. It is of guiding significance and reference value to optimize the layout of cold chain storage facilities in rural areas.

Suggested Citation

  • Qian Huang & Guijun Zheng & Shuangli Pan & Huiyu Liao & Zehua Jiang, 2025. "Layout optimization of multi-level cold chain storage facilities in agricultural producing areas considering type and capacity constraints," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-21, February.
    • Handle: RePEc:plo:pone00:0313062
    DOI: 10.1371/journal.pone.0313062
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    References listed on IDEAS

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    1. Adarsh Kumar Singh & Nachiappan Subramanian & Kulwant Singh Pawar & Ruibin Bai, 2018. "Cold chain configuration design: location-allocation decision-making using coordination, value deterioration, and big data approximation," Annals of Operations Research, Springer, vol. 270(1), pages 433-457, November.
    2. Fujiwara, Okitsugu & Perera, U. L. J. S. R., 1993. "EOQ models for continuously deteriorating products using linear and exponential penalty costs," European Journal of Operational Research, Elsevier, vol. 70(1), pages 104-114, October.
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