Integration of product quality and tool degradation for reliability modelling and analysis of multi-station manufacturing systems

Jin, Sun; Xi, Lifeng; Pan, Ershun; Du, Shichang; Ju, Bo

doi:10.1080/09511920802209058

Cited by 17 publications

(3 citation statements)

References 25 publications

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“…Chen and Jin (Yong and Jin, 2005) proposed a QR chain (Quality-Reliability Chain) to describe a process of multi-station transfer of component reliability and workpiece quality along the production process. Sun (Sun et al, 2009) proposed an integrated model of quality and reliability for multi-station manufacturing systems. The model usually sets the strength of interaction relationship between quality and reliability as a certain interaction coefficient to evaluate the reliability under this coefficient.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality-Reliability Coupled Network Modeling and Importance Measure of Multi-Stage Manufacturing Systems via Network Controllability Analysis

2022

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The fluctuation of product quality is closely related to the degradation of the equipment in multi-stage manufacturing systems. This paper proposes a critical measure approach for a quality-reliability coupled network of multi-stage manufacturing systems via network controllability. The impact of component degradation will be transmitted, expanded, and accumulated in multiple manufacturing stages, leading to quality flaws or even shutdowns of the entire system. An important measurement method via controllability analysis is provided by quantifying the impact of attacking the quality-reliability coupled network. By quantifying the control ability of the fault source node on the key quality attribute node, the weakness that affects the processing accuracy of a production line is identified. Case studies of real production lines are applied to verify the effectiveness, and comparative results show the method can guide the quality-reliability improvement of manufacturing systems.

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Section: Literature Reviewmentioning

confidence: 99%

Quality-Reliability Coupled Network Modeling and Importance Measure of Multi-Stage Manufacturing Systems via Network Controllability Analysis

2022

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“…Multiple stages machining process is one of the important manufacturing processes in modern manufacturing field. Some researchers have done considerable amount of work on the product quality and machining system reliability [9][10][11] but the task reliability of the machining process, normally how to keep the quality of the machined products stable and how to establish the mathematical model to describe machining process reliability is not sufficient. So, this seems to be a prospective area to conduct research.…”

Section: Introductionmentioning

confidence: 99%

Dimensional Quality Oriented Reliability Modeling for Complex Manufacturing Processes

Zhang

Yan

et al. 2011

International Journal of Computational Intelligence Systems

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The stability of process is certainly one of the most important aspects to fulfill the task. Now, it is still a challenge to put forward a model to deal with the stability of manufacturing process mathematically. Aiming at solving the problem, this paper discusses the issues by the notion of manufacturing process reliability and its sensitivity. Based on state space model, the process performance function which is used to describe the relations between the key product characters (KPC) of the machined part and the key control characters (KCC) of multistage process in machining system has been built. Furthermore, the measure index to the process reliability of multistage machining system is proposed, which facilitates the forming of the ways to model the process reliability mathematically. To determine the weakest stage during machining process, the sensitivity of process reliability to KCC of the process has been put forward and the corresponding ways how to calculate it. Because of the multistage process is highly non-linear process, chaos optimization algorithm and mutative scale chaos optimization algorithm are used to calculate this kind of robust reliability index．Finally, A simple 2-D case study has been used to validate the proposed model. It shows that the process reliability can be calculated effectively.

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“…Chen and Jin 7 analyzed the co-effect of product quality and component reliability, and proposed a method for manufacturing system reliability analysis. Subsequently, Sun et al 8 revealed the dynamic evolution of this quality–reliability interaction in multi-station manufacturing systems. He et al 9 further extended the reliability of manufacturing systems by regarding the quality of produced products as an indicator of the reliability of manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

Mission reliability modeling for multi-station manufacturing system based on Quality State Task Network

Han

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part O:

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Multi-state-oriented mission reliability modeling is the premise of intelligent scheduling and predictive maintenance for the multi-station manufacturing system. Previous studies on reliability modeling for manufacturing system could only provide a static reliability model based on the basic reliability of the components of manufacturing systems, which cannot support reliability-oriented production scheduling and preventive maintenance effectively. To resolve this dilemma, a multi-state-oriented mission reliability modeling for multi-station manufacturing system is proposed. First, the mapping relationship between the produced product reliability and mission reliability of the manufacturing system is proposed as the basis for modeling, and the connotation of mission reliability is elaborated by analyzing the polymorphisms of the multi-station manufacturing system. Second, a graphical representation to improve the state transparency named as Quality State Task Network is proposed based on production data by integrating the variability of task-demands propagation as well as the multi-state in material quality and machine performance. Third, the mission reliability modeling method based on the Quality State Task Network is proposed. Finally, a case study of cylinder-head manufacturing system has been applied to validate the proposed model.

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Integration of product quality and tool degradation for reliability modelling and analysis of multi-station manufacturing systems

Cited by 17 publications

References 25 publications

Quality-Reliability Coupled Network Modeling and Importance Measure of Multi-Stage Manufacturing Systems via Network Controllability Analysis

Quality-Reliability Coupled Network Modeling and Importance Measure of Multi-Stage Manufacturing Systems via Network Controllability Analysis

Dimensional Quality Oriented Reliability Modeling for Complex Manufacturing Processes

Mission reliability modeling for multi-station manufacturing system based on Quality State Task Network

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