Reliability Allocation Method for Remanufactured Machine Tools Based on Fuzzy Evaluation Importance and Failure Influenc
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Reliability Allocation Method for Remanufactured Machine Tools Based on Fuzzy Evaluation Importance and Failure Influence Yanbin Du1 · Guoao Wu2 · Ying Tang3 · Huajun Cao4 · Shihao Liu5 Received: 28 July 2019 / Revised: 9 August 2020 / Accepted: 1 September 2020 © Korean Society for Precision Engineering 2020
Abstract Reliability is the key performance indicator for remanufactured machine tools to be approved by customers. Reliability allocation is an important task that needs to be done in the design phase of remanufactured machine tools to ensure that remanufactured products meet the reliability target requirements. A reliability allocation method for remanufactured machine tools is proposed based on fuzzy evaluation importance and failure influence of each component. The importance of each component is evaluated by five indicators such as complexity of structure, maturity of technology, criticality of fault, difficulty of maintenance, and severity of service condition, in which their weights are determined by the method of analytic hierarchy process (AHP). Failure influence is determined by the proportion of downtime caused by each component in total downtime of machine tools. Finally, the proposed method is illustrated in a numerical case study of NC lathe remanufacturing. Keywords Reliability allocation · Remanufacture · Machine tool · Importance evaluation
1 Introduction Remanufacturing, as a new energy-saving, material-saving, and environmentally-friendly manufacturing model, has gradually attracted widespread attention from various countries and has gradually formed a huge emerging industry [1–3]. The US produces more than $45 billion of remanufactured goods per year and supports more than 180,000 full-time jobs [4]. It is estimated that remanufacturing in
* Yanbin Du [email protected] 1
Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing Technology and Business University, Chongqing, People’s Republic of China
2
National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, People’s Republic of China
3
Department of Electrical and Computer Engineering, Rowan University, Glassboro, USA
4
The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, People’s Republic of China
5
College of Mechanical and Electrical Engineering, Hainan University, Haikou, People’s Republic of China
Europe can grow to £75 billion by 2030. China’s remanufacturing industry is expected to reach ¥200 billion by 2020. Machine tools are typically complex mechatronics equipment of high added value and machine tool remanufacturing is an important means for machine tool users to ensure their manufacturing capabilities. More than 300 companies are specializing in machine tool remanufacturing in the United States, and mainly rely on third-party service providers of machine tool repair, CNC (computer numerical control) retrofitting, rebuil
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