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

• Published in: PloS one Vol. 17; no. 5; p. e0268788
• Main Authors: Dong, Xinghua, Zhang, Zhiwei, Sun, Juan, Luo, Zhen
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 25-05-2022; Public Library of Science (PLoS)
• Subjects: Artificial neural networks; Biology and Life Sciences; Classification; Computer and Information Sciences; Control systems; Decision making; Decision theory; Deep learning; Drilling; Drilling and boring; Drilling rigs; Electronic control; Engineering and Technology; Evaluation; Fuzzy sets; Information technology; Manufacturing; Manufacturing industry; Methods; Neural networks; Nondestructive testing; Performance evaluation; Physical Sciences; Remanufacturing; Research and Analysis Methods; Social Sciences; Working conditions; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0268788

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.