# Integrating on-line process control and imperfect corrective maintenance: An economical design

## Author

Listed:
• Ho, Linda Lee
• Quinino, Roberto C.

## Abstract

Existing studies of on-line process control are concerned with economic aspects, and the parameters of the processes are optimized with respect to the average cost per item produced. However, an equally important dimension is the adoption of an efficient maintenance policy. In most cases, only the frequency of the corrective adjustment is evaluated because it is assumed that the equipment becomes “as good as new” after corrective maintenance. For this condition to be met, a sophisticated and detailed corrective adjustment system needs to be employed. The aim of this paper is to propose an integrated economic model incorporating the following two dimensions: on-line process control and a corrective maintenance program. Both performances are objects of an average cost per item minimization. Adjustments are based on the location of the measurement of a quality characteristic of interest in a three decision zone. Numerical examples are illustrated in the proposal.

## Suggested Citation

• Ho, Linda Lee & Quinino, Roberto C., 2012. "Integrating on-line process control and imperfect corrective maintenance: An economical design," European Journal of Operational Research, Elsevier, vol. 222(2), pages 253-262.
• Handle: RePEc:eee:ejores:v:222:y:2012:i:2:p:253-262
DOI: 10.1016/j.ejor.2012.04.019
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File URL: http://www.sciencedirect.com/science/article/pii/S0377221712003128
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## References listed on IDEAS

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1. Ben-Daya, M. & Rahim, M. A., 2000. "Effect of maintenance on the economic design of -control chart," European Journal of Operational Research, Elsevier, vol. 120(1), pages 131-143, January.
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3. Costa Quinino, Roberto da & Colin, Emerson C. & Ho, Linda Lee, 2010. "Diagnostic errors and repetitive sequential classifications in on-line process control by attributes," European Journal of Operational Research, Elsevier, vol. 201(1), pages 231-238, February.
4. Ding, Jie & Gong, Linguo, 2008. "The effect of testing equipment shift on optimal decisions in a repetitive testing process," European Journal of Operational Research, Elsevier, vol. 186(1), pages 330-350, April.
5. Lee Ho, Linda & de Medeiros, Pledson Guedes & Borges, Wagner, 2007. "An alternative model for on-line quality monitoring for variables," International Journal of Production Economics, Elsevier, vol. 107(1), pages 202-222, May.
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7. Tirthankar Dasgupta, 2003. "An economic inspection interval for control of defective items in a hot rolling mill," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(3), pages 273-282.
8. Zhang, Cai Wen & Xie, Min & Goh, Thong Ngee, 2008. "Economic design of cumulative count of conforming charts under inspection by samples," International Journal of Production Economics, Elsevier, vol. 111(1), pages 93-104, January.
9. Kuo, Yarlin, 2006. "Optimal adaptive control policy for joint machine maintenance and product quality control," European Journal of Operational Research, Elsevier, vol. 171(2), pages 586-597, June.
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## Citations

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Cited by:

1. Xiang, Yisha, 2013. "Joint optimization of X¯ control chart and preventive maintenance policies: A discrete-time Markov chain approach," European Journal of Operational Research, Elsevier, vol. 229(2), pages 382-390.
2. Amir Ahmadi-Javid & Mohsen Ebadi, 2017. "Economic Design of Memory-Type Control Charts: The Fallacy of the Formula Proposed by Lorenzen and Vance (1986)," Papers 1708.06160, arXiv.org.

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