Robust economic-statistical design of X-bar control chart

Control charts are developed to monitor the service and production processes. The fact that many processes have uncertain parameters is a barrier to obtain the best design of the control charts. In this paper, economic statistical design (ESD) of the X-bar control chart utilising robust optimisation approach that considers interval estimates of uncertain parameters is investigated. A heuristic algorithm is developed to obtain the robust scheme of the control chart. Robust design for an industrial problem is compared with traditional ESD, and heuristic design. Numerical analyses and simulation study show that the proposed X-bar control chart offers a better approach and more reliable solutions for practitioners.

[1]  Lonnie C. Vance,et al.  The Economic Design of Control Charts: A Unified Approach , 1986 .

[2]  Vijaya Babu Vommi,et al.  A simple approach for robust economic design of control charts , 2007, Comput. Oper. Res..

[3]  Erwin M. Saniga,et al.  Economic Statistical Control-Chart Designs With an Application to and R Charts , 1989 .

[4]  Yu Guo,et al.  Economic and statistical design of and S control charts using an improved multi-objective particle swarm optimisation algorithm , 2012 .

[5]  Vijaya Babu Vommi,et al.  A new approach to robust economic design of control charts , 2007, Appl. Soft Comput..

[6]  Chao-Yu Chou,et al.  Economic design of variable sampling intervals EWMA charts with sampling at fixed times using genetic algorithms , 2008, Expert Syst. Appl..

[7]  Giovanni Celano,et al.  Economic design of Shewhart control charts for monitoring autocorrelated data with skip sampling strategies , 2014 .

[8]  Alireza Faraz,et al.  Multiobjective Genetic Algorithm Approach to the Economic Statistical Design of Control Charts with an Application to X¯ bar and S2 Charts , 2013, Qual. Reliab. Eng. Int..

[9]  William H. Woodall,et al.  Weaknesses of The Economic Design of Control Charts , 1986 .

[10]  Jean-Philippe Vial,et al.  Robust Optimization , 2021, ICORES.

[11]  Seyed Taghi Akhavan Niaki,et al.  Multiobjective design of an S control chart for monitoring process variability , 2012 .

[12]  Cinzia Mortarino,et al.  Duncan's model for X̄‐control charts: sensitivity analysis to input parameters , 2010, Qual. Reliab. Eng. Int..

[13]  Constantine Caramanis,et al.  Theory and Applications of Robust Optimization , 2010, SIAM Rev..

[14]  Acheson J. Duncan,et al.  The Economic Design of X Charts Used to Maintain Current Control of a Process , 1956 .

[15]  Michael B. C. Khoo,et al.  Economic and economic statistical designs of the synthetic chart using loss functions , 2013, Eur. J. Oper. Res..

[16]  Joseph J. Pignatiello,et al.  Optimal Economic Design of X¯-Control Charts When Cost Model Parameters are Not Precisely Known , 1988 .

[17]  Chao-Yu Chou,et al.  MINIMUM-LOSS DESIGN OF X-BAR CONTROL CHARTS FOR NON-NORMALLY CORRELATED DATA , 2002 .

[18]  Yong Yin,et al.  Supplier risk management: An economic model of P-chart considered due-date and quality risks , 2012 .

[19]  D. Bertsimas,et al.  Robust and Data-Driven Optimization: Modern Decision-Making Under Uncertainty , 2006 .

[20]  Alireza Faraz,et al.  Monitoring delivery chains using multivariate control charts , 2013, Eur. J. Oper. Res..

[21]  Robert Pellerin,et al.  Integrated product specifications and productivity decision making in unreliable manufacturing systems , 2011 .

[22]  Melvyn Sim,et al.  The Price of Robustness , 2004, Oper. Res..

[23]  Yan-Kwang Chen,et al.  Economic design of variable sampling interval T , 2007, Expert Syst. Appl..

[24]  J. Douglas Barrett,et al.  Taguchi's Quality Engineering Handbook , 2007, Technometrics.

[25]  Abdul Sattar Safaei,et al.  Evaluating the performance of variable scheme X-bar control chart: a Taguchi loss approach , 2014 .

[26]  Aurélie Thiele,et al.  A note on issues of over-conservatism in robust optimization with cost uncertainty , 2010 .

[27]  Kevin W Linderman,et al.  Robust economic control chart design , 2002 .

[28]  Seyed Taghi Akhavan Niaki,et al.  A Parameter-Tuned Genetic Algorithm for Economic-Statistical Design of Variable Sampling Interval X-Bar Control Charts for Non-Normal Correlated Samples , 2014, Commun. Stat. Simul. Comput..

[29]  E. Saniga Economic Statistical Control-Chart Designs with an Application to X̄ and R Charts@@@Economic Statistical Control-Chart Designs with an Application to X and R Charts , 1989 .

[30]  Stephen P. Boyd,et al.  Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems , 2006, Math. Program..

[31]  Giovanni Celano,et al.  A stochastic shift model for economically designed charts constrained by the process stage configuration , 2011 .

[32]  Alireza Faraz,et al.  Optimal T2 Control Chart with a Double Sampling Scheme – An Alternative to the MEWMA Chart , 2012, Qual. Reliab. Eng. Int..

[33]  Hsu-Hwa Chang,et al.  Economic design of variable parameters X̄ control charts for processes with fuzzy mean shifts , 2008, J. Oper. Res. Soc..