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Remanufacturing an evaluation system for electrical control systems of drilling rig based on the improved FCE and ANN

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  • Xinghua Dong
  • Zhiwei Zhang
  • Juan Sun
  • Zhen Luo

Abstract

The decision process of different remanufacturing schemes in an electronic control system has great fuzziness and uncertainty. Therefore, it is essential to use an appropriate method to show the characteristics of different schemes and support the users’ decision. Based on the concepts of the artificial neural network theory and the improved comprehensive evaluation method, the decision-making system of the electronic control remanufacturing scheme was constructed in the present study. In the first step, a classification method of parts is proposed from the perspective of manufacturing enterprises. Moreover, an artificial neural network model is used to determine parts of remanufacturing value. Then the pricing strategy is divided according to the users’ needs, and then a decision model is constructed. The combined subjective and objective methods are used to solve the compound weight of different equipment, and a set of improved fuzzy comprehensive decision methods is formed. Then the proposed model was applied to an electronic control transformation project as an example to evaluate the performance of different schemes. The evaluation results were consistent with the results of a third-party organization. It was concluded that the proposed scheme can be used as the theoretical basis to choose the best remanufacturing scheme to ensure the efficient operation of each part in an ECS.

Suggested Citation

  • Xinghua Dong & Zhiwei Zhang & Juan Sun & Zhen Luo, 2022. "Remanufacturing an evaluation system for electrical control systems of drilling rig based on the improved FCE and ANN," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-15, May.
    • Handle: RePEc:plo:pone00:0268788
    DOI: 10.1371/journal.pone.0268788
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    References listed on IDEAS

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    1. Sasha Shahbazi & Kerstin Johansen & Erik Sundin, 2021. "Product Design for Automated Remanufacturing—A Case Study of Electric and Electronic Equipment in Sweden," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
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