Reliability Growth Method for Electromechanical Products Based on Organizational Reliability Capability Evaluation and Decision-Making

The reliability growth of electromechanical products is a continuous process of addressing reliability defects, which is very important for manufacturing enterprises. At present, research on the reliability growth of electromechanical products mostly focuses on the reliability defects of the products themselves, ignoring the fact that manufacturing enterprises are the executors of product reliability related work. Improving the organizational reliability capability of manufacturing enterprises can enhance the reliability of electromechanical products. In order to understand the current situation of organizational reliability capability (ORC) in electromechanical product manufacturing enterprises and make improvements, this paper establishes an ORC evaluation indicator framework for electromechanical product manufacturing enterprises and evaluates it using the grey evaluation method. Firstly, an evaluation indicator framework for ORC is established based on enterprise research. Secondly, the ORC of electromechanical product manufacturing enterprises is evaluated by combining the three-parameter interval grey number and projection index function. Then, the evaluation results are analyzed from multiple perspectives to understand the current situation and shortcomings of ORC and guide its improvement. Finally, the evaluation indicator framework and method are explained through practical application in CNC machine tool manufacturing enterprises, and the effectiveness of the framework and method is demonstrated through the MTBF growth of CNC machine tools.

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Publication Details

Journal
Mathematics
Published
2024-11-28
DOI
https://doi.org/10.3390/math12233754
Primary Topic
Risk and Safety Analysis
Type
article
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Reliability Growth Method for Electromechanical Products Based on Organizational Reliability Capability Evaluation and Decision-Making

Zongyi Mu, Jian Li, Xiaogang Zhang, Jinyuan Li et al.
Mathematics
Risk and Safety Analysis
article

Reliability Growth Method for Electromechanical Products Based on Organizational Reliability Capability Evaluation and Decision-Making

Zongyi Mu, Jian Li, Xiaogang Zhang, Jinyuan Li, Wei Hao, Genbao Zhang
article en

Abstract

The reliability growth of electromechanical products is a continuous process of addressing reliability defects, which is very important for manufacturing enterprises. At present, research on the reliability growth of electromechanical products mostly focuses on the reliability defects of the products themselves, ignoring the fact that manufacturing enterprises are the executors of product reliability related work. Improving the organizational reliability capability of manufacturing enterprises can enhance the reliability of electromechanical products. In order to understand the current situation of organizational reliability capability (ORC) in electromechanical product manufacturing enterprises and make improvements, this paper establishes an ORC evaluation indicator framework for electromechanical product manufacturing enterprises and evaluates it using the grey evaluation method. Firstly, an evaluation indicator framework for ORC is established based on enterprise research. Secondly, the ORC of electromechanical product manufacturing enterprises is evaluated by combining the three-parameter interval grey number and projection index function. Then, the evaluation results are analyzed from multiple perspectives to understand the current situation and shortcomings of ORC and guide its improvement. Finally, the evaluation indicator framework and method are explained through practical application in CNC machine tool manufacturing enterprises, and the effectiveness of the framework and method is demonstrated through the MTBF growth of CNC machine tools.

MathematicsVol. 12(23)
Chongqing Technology and Business University (CN), Chongqing University (CN), Nanjing University of Information Science and Technology (CN), Chongqing University of Arts and Sciences (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Risk and Safety Analysis
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