Statistical Process Control and Maintenance Policies for Continuous Production Systems Subjected to Different Failure Impact Models: Literature Review

Abstract Nowadays companies are constantly looking for maximum production efficiency and profitability. To achieve this goal, maintenance actions taken aim to improve the products quality. This article proposes a literature review of the techniques used in order to optimize the maintenance and the quality control of a production tool based on measurement of quality indicators. The main objective of this work is to determine the quality signals that are judicious to be used to model a production system. When a production system is subject to failures, maintenance actions can restore the system in normal conditions. With the literature review, different failure impact models, that is, how a failure changes the quality indicator, will be defined. These will be used to build a numerical model. The model will be used to find the best quality control parameters and the best maintenance policy for a production system characterized by given quality signals and given reliability parameters. Finally, the methodology used for simulations applied to a continuous production system will be presented.

[1]  Yan-Chun Chen.  An optimal production and inspection strategy with preventive maintenance error and rework , 2013 .

[2]  M. A. Rahim,et al.  A generalized model for the economic design of ??control charts for production systems with increasing failure rate and early replacement , 1993 .

[3]  Robert Haber,et al.  Detection of signal drifts by different control charts , 2009, ICONS.

[4]  Kevin W. Linderman,et al.  An integrated systems approach to process control and maintenance , 2005, Eur. J. Oper. Res..

[5]  C. Richard Cassady,et al.  Combining preventive maintenance and statistical process control: a preliminary investigation , 2000 .

[6]  Yu Zhao,et al.  An improved Wiener process model with adaptive drift and diffusion for online remaining useful life prediction , 2019, Mechanical Systems and Signal Processing.

[7]  Inma T. Castro,et al.  A dependent complex degrading system with non-periodic inspection times , 2019, Comput. Ind. Eng..

[8]  M. A. Rahim,et al.  Economic design of x -control charts under Weibull shock models , 1988 .

[9]  John S. Oakland,et al.  Statistical Process Control , 2018 .

[10]  Salih O. Duffuaa,et al.  Maintenance and quality: the missing link , 1995 .

[11]  Xiaojun Zhou,et al.  Joint modeling of preventive maintenance and quality improvement for deteriorating single-machine manufacturing systems , 2016, Comput. Ind. Eng..

[12]  Douglas M. Hawkins,et al.  On Small Shifts in Quality Control , 2003 .

[13]  Xiaojun Zhou,et al.  Quality and reliability oriented maintenance for multistage manufacturing systems subject to condition monitoring , 2019, Journal of Manufacturing Systems.

[14]  P. Dehombreux,et al.  Using quality control in optimizing opportunistic maintenance , 2018 .

[15]  Makarand S. Kulkarni,et al.  A superimposition based approach for maintenance and quality plan optimization with production schedule, availability, repair time and detection time constraints for a single machine , 2015 .

[16]  George Nenes,et al.  Optimization of a fully adaptive quality and maintenance model in the presence of multiple location and scale quality shifts , 2018 .

[17]  Jan M. van Noortwijk,et al.  A survey of the application of gamma processes in maintenance , 2009, Reliab. Eng. Syst. Saf..