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Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming

Author

Listed:
  • Peng Liu
  • Caiyun Liu
  • Xiaoling Wei
  • Giulio E. Cantarella

Abstract

In the shared manufacturing environment, on the basis of in-depth analysis of the shared manufacturing process and the allocation process of manufacturing resources, a bilevel programming model for the optimal allocation of manufacturing resources considering the benefits of the shared manufacturing platform and the rights of consumers is established. In the bilevel programming model, the flexible indicators representing the interests of the platform are the upper-level optimization target of the model and the Quality of Service (QoS) indicators representing the interests of consumers are the lower-level optimization goal. The weights of the upper indicators are determined by Analytic Hierarchy Process (AHP) and Improved Order Relation Analysis (Improved G1) combination weighting method and the bilevel programming model is solved by the Improved Fast Elitist Non-Dominated Sorting Genetic Algorithm (Improved NSGA-II). Finally, the effectiveness of the model is validated by a numerical example.

Suggested Citation

  • Peng Liu & Caiyun Liu & Xiaoling Wei & Giulio E. Cantarella, 2021. "Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-15, December.
    • Handle: RePEc:hin:jnddns:6474241
    DOI: 10.1155/2021/6474241
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    Cited by:

    1. Jiang, Lijun & Wang, Xifu & Yang, Kai & Gao, Yiwen, 2023. "Bilevel optimization for the reorganization of inland river ports: A niche perspective," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

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