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Research on optimal decision-making of cloud manufacturing service provider based on grey correlation analysis and TOPSIS

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Listed:
  • Yanjuan Hu
  • Lizhe Wu
  • Chao Shi
  • Yilin Wang
  • Feifan Zhu

Abstract

It is of great practical significance to optimise the decision-making of cloud manufacturing service providers, which can ensure the efficient operation of the cloud manufacturing services. In order to effectively optimise, this paper constructs the evaluation index system, sorts out 7 important evaluation indexes. A method is proposed on the basis of the TOPSIS method and Grey Correlation Analysis (GRA), which is a decision-making method combining static distance and dynamic trend, and make the evaluation results more reasonable. In addition, in order to reflect the true weight of the high dimensional index, the evaluation model of projection pursuit index is established. The improved Particle Swarm Optimisation (PSO) algorithm is used to optimise the projection index function and model parameters, and to obtain the objective weights of evaluation indexes. Then the objective weights combine with the subjective weights obtained by the Analytic hierarchy process (AHP), which makes the weights of the evaluation indexes achieve the unity of subjective and objective. Finally, 20 sets of simulation examples are given to illustrate the feasibility and effectiveness of the proposed method.

Suggested Citation

  • Yanjuan Hu & Lizhe Wu & Chao Shi & Yilin Wang & Feifan Zhu, 2020. "Research on optimal decision-making of cloud manufacturing service provider based on grey correlation analysis and TOPSIS," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 748-757, February.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:3:p:748-757
    DOI: 10.1080/00207543.2019.1600760
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    Cited by:

    1. Ye Li & Yisheng Liu, 2020. "Extended VIKOR-QUALIFLEX Method Based on Trapezoidal Fuzzy Two-Dimensional Linguistic Information for Multiple Attribute Decision-Making with Unknown Attribute Weight," Mathematics, MDPI, vol. 9(1), pages 1-27, December.
    2. Jianjun Wang & Jikun Huo & Shuo Zhang & Yun Teng & Li Li & Taoya Han, 2021. "Flexibility Transformation Decision-Making Evaluation of Coal-Fired Thermal Power Units Deep Peak Shaving in China," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    3. Yongzheng Zhang & Chunming Ye & Xiuli Geng, 2022. "A Hesitant Fuzzy Method for Evaluating Risky Cold Chain Suppliers Based on an Improved TODIM," Sustainability, MDPI, vol. 14(16), pages 1-23, August.

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