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ORIGINAL ARTICLES

Economic design of dual-sampling-interval policies for X¯ charts with and without run rules

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Pages 497-506 | Received 01 Jun 1995, Accepted 01 Feb 1997, Published online: 30 May 2007

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Zahra Jalilibal, Mohammad Hassan Ahmadi Karavigh, Amirhossein Amiri & Michael B. C. Khoo. (2023) Run rules schemes for statistical process monitoring: a literature review. Quality Technology & Quantitative Management 20:1, pages 21-52.
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M. Abolmohammadi, A. Seif, M. H. Behzadi & M. Bameni Moghadam. (2019) Effect of Linex loss function on the VSIX̄ control chart. Journal of Statistical Computation and Simulation 89:9, pages 1674-1693.
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Asghar Seif, Alireza Faraz & Erwin Saniga. (2015) Economic statistical design of the VP control charts for monitoring a process under non-normality. International Journal of Production Research 53:14, pages 4218-4230.
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George Nenes. (2013) Optimisation of fully adaptive Bayesian charts for infinite-horizon processes. International Journal of Systems Science 44:2, pages 289-305.
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Athanasios C. Rakitzis & Demetrios L. Antzoulakos. (2011) On the improvement of one-sided S control charts. Journal of Applied Statistics 38:12, pages 2839-2858.
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Giovanni Celano. (2009) Robust design of adaptive control charts for manual manufacturing/inspection workstations. Journal of Applied Statistics 36:2, pages 181-203.
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Ling-Yau Chan, Jintao Ouyang & Henry Ying-Kei Lau. (2007) A Two-Stage Cumulative Quantity Control Chart for Monitoring Poisson Processes. Journal of Quality Technology 39:3, pages 203-223.
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Zhang Wu, Yu Tian & Sheng Zhang. (2005) Adjusted-loss-function charts with variable sample sizes and sampling intervals. Journal of Applied Statistics 32:3, pages 221-242.
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Tapas K. Das, Abhijit Gosavi & Krishna Mohan Kanchibhatta. (2002) OPTIMAL DESIGN OF PLANS FOR ACCEPTANCE SAMPLING BY VARIABLES WITH INVERSE GAUSSIAN DISTRIBUTION. Communications in Statistics - Simulation and Computation 31:3, pages 463-488.
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MaysaS. De Magalhães, AntonioF. B. Costa & EugenioK. Epprecht. (2002) Constrained optimization model for the design of an adaptive X chart. International Journal of Production Research 40:13, pages 3199-3218.
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George Tagaras. (1998) A Survey of Recent Developments in the Design of Adaptive Control Charts. Journal of Quality Technology 30:3, pages 212-231.
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TAPASK. DAS & VIKAS JAIN. (1997) An economic design model for X charts with random sampling policies. IIE Transactions 29:6, pages 507-518.
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Articles from other publishers (17)

Qiang Wan & Mei Zhu. (2022) Optimal design of an improved X¯ and R control chart for joint monitoring of process location and dispersion . Measurement and Control 55:5-6, pages 370-384.
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M. Abolmohammadi, A. Seif, M. H. Behzadi & M. B. Moghadam. (2019) Economic statistical design of adaptive $$\bar{X}$$ control charts based on quality loss functions. Operational Research 21:2, pages 1041-1080.
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Barry Cobb & Linda Li. (2019) Bayesian networks for statistical process control with attribute data. International Journal of Quality & Reliability Management 36:2, pages 232-256.
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Imen Kooli & Mohamed Limam. (2015) Economic design of attribute np control charts using a variable sampling policy . Applied Stochastic Models in Business and Industry 31:4, pages 483-494.
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Rita Peñabaena-Niebles, Óscar Oviedo-Trespalacios, Sandra Cuentas-Hernandez & Ethel Garcia-Solano. (2014) Methodology for the implementation of an economic and/or statistical design for x-bar charts with variable parameters (VP). DYNA 81:184, pages 150.
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George Nenes & Sofia Panagiotidou. (2013) An adaptive Bayesian scheme for joint monitoring of process mean and variance. Computers & Operations Research 40:11, pages 2801-2815.
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Yanjing Ou, Zhang Wu, Ka Man Lee & Kan Wu. (2013) An Adaptive CUSUM Chart with Single Sample Size for Monitoring Process Mean and Variance. Quality and Reliability Engineering International 29:7, pages 1027-1039.
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Konstantinos A. Tasias & George Nenes. (2012) A variable parameter Shewhart control scheme for joint monitoring of process mean and variance. Computers & Industrial Engineering 63:4, pages 1154-1170.
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James J. Cochran, Louis A. CoxJr.Jr., Pinar Keskinocak, Jeffrey P. Kharoufeh & J. Cole SmithFlavio Sanson Fogliatto & Michel J. Anzanello. 2011. Wiley Encyclopedia of Operations Research and Management Science. Wiley Encyclopedia of Operations Research and Management Science.
Ling-Yau Chan & Shaomin Wu. (2009) Optimal design for inspection and maintenance policy based on the CCC chart. Computers & Industrial Engineering 57:3, pages 667-676.
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Murat Gülbay & Cengiz Kahraman. (2007) An alternative approach to fuzzy control charts: Direct fuzzy approach. Information Sciences 177:6, pages 1463-1480.
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Maysa S. De Magalhães & Francisco D. Moura Neto. (2005) Joint economic model for totally adaptive and R charts. European Journal of Operational Research 161:1, pages 148-161.
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Zhang Wu & Hua Luo. (2004) Optimal Design of the Adaptive Sample Size and Sampling Interval np Control Chart. Quality and Reliability Engineering International 20:6, pages 553-570.
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L.Y. Chan, C.D. Lai, M. Xie & T.N. Goh. (2003) A two-stage decision procedure for monitoring processes with low fraction nonconforming. European Journal of Operational Research 150:2, pages 420-436.
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Ling-Yau Chan. (2003) Design of inspection and maintenance models based on the CCC-chart. Design of inspection and maintenance models based on the CCC-chart.
Renato Michel & Flávio S. Fogliatto. (2002) Projeto econômico de cartas adaptativas para monitoramento de processos. Gestão & Produção 9:1, pages 17-31.
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Maysa S. De Magalhães, Eugenio K. Epprecht & Antonio F.B. Costa. (2001) Economic design of a Vp chart. International Journal of Production Economics 74:1-3, pages 191-200.
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