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Articles

Joint optimisation of double warning T2-Hotelling chart and maintenance policy with multiple assignable causes

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Pages 465-488 | Received 12 Jun 2019, Accepted 30 Oct 2019, Published online: 02 Dec 2019

References

  • Kuo Y. Optimal adaptive control policy for joint machine maintenance and product quality control. Eur J Oper Res. 2006;171:586–597. doi: 10.1016/j.ejor.2004.09.022
  • Lee H, Cha JH. New stochastic models for preventive maintenance and maintenance optimization. Eur J Oper Res. 2016;255:80–90. doi: 10.1016/j.ejor.2016.04.020
  • Zhou X, Wu C, Li Y, et al. A preventive maintenance model for leased equipment subject to internal degradation and external shock damage. Reliab Eng Syst Saf. 2016;154:1–7. doi: 10.1016/j.ress.2016.05.005
  • Nguyen DT, Dijoux Y, Fouladirad M. Analytical properties of an imperfect repair model and application in preventive maintenance scheduling. Eur J Oper Res. 2017;256:439–453. doi: 10.1016/j.ejor.2016.06.026
  • Duncan AJ. The economic design of X charts used to maintain current control of a process. J Am Stat Assoc. 1956;51:228–242.
  • Lorenzen TJ, Vance LC. The economic design of control charts: a unified approach. Technometrics. 1986;28:3–10. doi: 10.1080/00401706.1986.10488092
  • Celano G, Fichera S. Multi objective economic design of an X control chart. Comput Ind Eng. 1999;37:129–132. doi: 10.1016/S0360-8352(99)00038-8
  • Asadzadeh S, Khoshalhan F. Multiple-objective design of an over line X-bar control chart with multiple assignable causes. Int J Adv Manuf Technol. 2009;43:312–322. doi: 10.1007/s00170-008-1709-9
  • Safaei AS, Kazemzadeh RB, Gan HS. Robust economic-statistical design of X-bar control chart. Int J Prod Res. 2015;53:4446–4458. doi: 10.1080/00207543.2015.1018449
  • Amiri A, Moslemi A, Doroudyan MH. Robust economic and economic-statistical design of EWMA control chart. Int J Adv Manuf Technol. 2015;78:511–523. doi: 10.1007/s00170-014-6667-9
  • Cassady CR, Bowden RO, Liew L, et al. Combining preventive maintenance and statistical process control: a preliminary investigation. IIE Trans. 2000;32:471–478. doi: 10.1023/A:1007693017671
  • Linderman K, McKone-Sweet KE, Anderson JC. An integrated systems approach to process control and maintenance. Eur J Oper Res. 2005;164:324–340. doi: 10.1016/j.ejor.2003.11.026
  • Zhou WH, Zhu GL. Economic design of integrated model of control chart and maintenance management. Math Comput Model. 2008;47:1389–1395. doi: 10.1016/j.mcm.2007.09.008
  • Panagiotidou S, Nenes G. An economically designed, integrated quality and maintenance model using an adaptive Shewhart chart. Reliab Eng Syst Saf. 2009;94:732–741. doi: 10.1016/j.ress.2008.07.003
  • Liu L, Yu M, Ma Y, et al. Economic and economic-statistical designs of an X control chart for two-unit series systems with condition-based maintenance. Eur J Oper Res. 2013;226:491–499. doi: 10.1016/j.ejor.2012.11.031
  • Xiang Y. Joint optimization of X-bar control chart and preventive maintenance policies: a discrete-time Markov chain approach. Eur J Oper Res. 2013;229:382–390. doi: 10.1016/j.ejor.2013.02.041
  • Salmasnia A, Kaveie M, Namdar M. An integrated production and maintenance planning model under VP-T 2 Hotelling chart. Comput Ind Eng. 2018. DOI:10.1016/j.cie.2018.02.021
  • Yin H, Zhang G, Zhu H, et al. An integrated model of statistical process control and maintenance based on the delayed monitoring. Reliab Eng Syst Saf. 2015;133:323–333. doi: 10.1016/j.ress.2014.09.020
  • Saniga EM. Economic statistical control-chart designs with an application to and R charts. Technometrics. 1989;31:313–320.
  • Zhang G, Berardi V. Economic statistical design of X control charts for systems with Weibull in-control times. Comput Ind Eng. 1997;32:575–586. doi: 10.1016/S0360-8352(96)00314-2
  • Niaki STA, Ershadi MJ, Malaki M. Economic and economic-statistical designs of MEWMA control charts—a hybrid Taguchi loss, Markov chain, and genetic algorithm approach. Int J Adv Manuf Technol. 2010;48:283–296. doi: 10.1007/s00170-009-2288-0
  • Niaki STA, Malaki M, Ershadi MJ. A particle swarm optimization approach on economic and economic-statistical designs of MEWMA control charts. Sci Iran. 2011;18:1529–1536. doi: 10.1016/j.scient.2011.09.007
  • Naderi MH, Moghadam MB, Seif A. Economic statistical design of the T 2 control chart under the Weibull shock model with multiple assignable causes. J Stat Comput Simul. 2018;88:1–27. doi: 10.1080/00949655.2017.1376329
  • Hotelling H. Multivariate quality control, illustrated by the air testing of sample bombsights. In: Eisenhart MWHC, Wallis WA, editors. Selected techniques of statistical analysis. New York (NY): Mc-Graw-Hill; 1947. p. 111–184.
  • Lowry CA, Woodall WH, Champ CW, et al. A multivariate exponentially weighted moving average control chart. Technometrics. 1992;34:46–53. doi: 10.2307/1269551
  • Lowry CA, Montgomery DC. A review of multivariate control charts. IIE Trans. 1995;27:800–810. doi: 10.1080/07408179508936797
  • Bodnar O, Schmid W. CUSUM charts for monitoring the mean of a multivariate Gaussian process. J Stat Plan Inference. 2011;141:2055–2070. doi: 10.1016/j.jspi.2010.12.020
  • Prabhu SS, Montgomery DC, Runger GC. Economic-statistical design of an adaptive X chart. Int J Prod Econ. 1997;49:1–15. doi: 10.1016/S0925-5273(96)00100-4
  • Faraz A, Heuchenne C, Saniga E. A meta model to optimal design the VSI T 2 chart; 2010.
  • Faraz A, Saniga E. Economic statistical design of a T2 control chart with double warning lines. Qual Reliab Eng Int. 2011;27:125–139. doi: 10.1002/qre.1095
  • Seif A, Faraz A, Sadeghifar M. Evaluation of the economic statistical design of the multivariate T 2 control chart with multiple variable sampling intervals scheme: NSGA-II approach. J Stat Comput Simul. 2015;85:2442–2455. doi: 10.1080/00949655.2014.931404
  • Aparisi F. Hotelling’s T2 control chart with adaptive sample sizes. Int J Prod Res. 1996;34:2853–2862. doi: 10.1080/00207549608905062
  • Faraz A, Parsian A. Hotelling’s T2 control chart with double warning lines. Stat Pap. 2006;47:569–593. doi: 10.1007/s00362-006-0307-x
  • Chen YS, Yang YM. Economic design of x-control charts with Weibull in-control times when there are multiple assignable causes. Int J Prod Econ. 2002;77:17–23. doi: 10.1016/S0925-5273(01)00196-7
  • Nenes G, Tasias KA, Celano G. A general model for the economic-statistical design of adaptive control charts for processes subject to multiple assignable causes. Int J Prod Res. 2015;53:2146–2164. doi: 10.1080/00207543.2014.974850
  • Ross S. A first course in probability. Bengaluru (Karnataka): Pearson Education India; 2002.
  • Montgomery DC. Introduction to statistical quality control. Hoboken (NJ): John Wiley & Sons; 2007.
  • Salmasnia A, Abdzadeh B, Namdar M. A joint design of production run length, maintenance policy and control chart with multiple assignable causes. J Manuf Syst. 2017;42:44–56. doi: 10.1016/j.jmsy.2016.11.003
  • Ben-Daya M. Integrated production maintenance and quality model for imperfect processes. IIE Trans. 1999;31(6):491–501.
  • Salmasnia A, Rahimi A, Abdzadeh B. An integration of NSGA-II and DEA for economic-statistical design of T Hotelling control chart with double warning lines. Neural Comput Appl. 2017. DOI:10.1007/s00521-017-3064-y
  • Wang ZG, Rahman M, Wong YS, et al. Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing. Int J Mach Tools Manuf. 2005;45(15):1726–1734. doi: 10.1016/j.ijmachtools.2005.03.009
  • Pan E, Jin Y, Wang S, et al. An integrated EPQ model based on a control chart for an imperfect production process. Int J Prod Res. 2012;50(23):6999–7011. doi: 10.1080/00207543.2011.642822
  • Shermeh AE, Ghazalian R. Recognition of communication signal types using genetic algorithm and support vector machines based on the higher order statistics. Digit Signal Process. 2010;20(6):1748–1757. doi: 10.1016/j.dsp.2010.03.003
  • Bora TC, Lebensztajn L, Coelho LDS. Non-dominated sorting genetic algorithm based on reinforcement learning to optimization of broad-band reflector antennas satellite. IEEE Trans Magn. 2012;48(2):767–770. doi: 10.1109/TMAG.2011.2177076

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