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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 25, 1993 - Issue 4
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Computer Programs

Economic Design of X̄ Control Charts Assuming Weibull In-Control Times

M. A. RahimUniversity of New Brunswick, Fredericton, New Brunswick, CanadaE3B 5A3View further author information
Pages 296-305 | Published online: 21 Feb 2018

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M. Hossein Naderi, Asghar Seif & M. Bameni Moghadam. (2021) Constrained optimal design of Control Chart for correlated data under Weibull Shock Model with multiple assignable causes. Communications in Statistics - Theory and Methods 50:10, pages 2322-2353.
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M. A. Pasha, M. B. Moghadam, S. Fani & Y. Khadem. (2018) Effects of quality characteristic distributions on the integrated model of Taguchi's loss function and economic statistical design of -control charts by modifying the Banerjee and Rahim economic model. Communications in Statistics - Theory and Methods 47:8, pages 1842-1855.
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M. A. Pasha, M. Bameni Moghadam, Y. Khadem & S. Fani. (2017) An integration of Taguchi’s loss function in Banerjee–Rahim model for the economic and economic statistical design of -control charts under multiple assignable causes and Weibull shock model. Communications in Statistics - Theory and Methods 46:24, pages 12113-12129.
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Saeedreza Rafie, Masoud Ghaderi Moghadam & M. B. Moghadam. (2017) A generalized version of Banerjee and Rahim model in economic and economic statistical designs of multivariate control charts under generalized exponential shock model. Communications in Statistics - Theory and Methods 46:16, pages 8016-8026.
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AntonioF. B. Costa & M.A. Rahim. (2013) Economic Design of and R Charts Under Weibull Shock Models. Communications in Statistics - Theory and Methods 42:21, pages 3902-3925.
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Divya Pandey, Makarand S. Kulkarni & Prem Vrat. (2012) A methodology for simultaneous optimisation of design parameters for the preventive maintenance and quality policy incorporating Taguchi loss function. International Journal of Production Research 50:7, pages 2030-2045.
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F L Chen & C H Yeh. (2011) Economic statistical design for x-bar control charts under non-normal distributed data with Weibull in-control time. Journal of the Operational Research Society 62:4, pages 750-759.
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S. F. Yang & M. A. Rahim. (2006) Multivariate extension to the economical design of control chart under Weibull shock model. Journal of Statistical Computation and Simulation 76:12, pages 1035-1047.
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Fong-jung Yu & Jiang-liang Hou. (2006) Optimization of design parameters for control charts with multiple assignable causes. Journal of Applied Statistics 33:3, pages 279-290.
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Fong-Jung Yu & Yun-Shiow Chen. (2005) Economic Design of Moving Average Control Charts. Quality Engineering 17:3, pages 391-397.
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Hajaj Al-Oraini & M. A. Rahim. (2003) Economic statistical design of x ¥ control charts for systems with gamma ( 5 ,2) in-control times. Journal of Applied Statistics 30:4, pages 397-409.
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Thomas P. McWilliams. (1994) Economic, Statistical, and Economic-Statistical X̄ Chart Designs. Journal of Quality Technology 26:3, pages 227-238.
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Articles from other publishers (27)

Mustafa M. Nasr, Fadia Naji, Mokhtar Amrani, Mageed Ghaleb, Khaled N. Alqahtani, Asem Majed Othman & Emad Hashiem Abualsauod. (2023) Integrated Optimization Model for Maintenance Policies and Quality Control Parameters for Multi-Component System. Machines 11:4, pages 435.
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M. A. Pasha, M. Bameni Moghadam & M. A. Rahim. (2018) Effects of non-normal quality data on the integrated model of imperfect maintenance, early replacement, and economic design of $${\bar{X}}$$-control charts. Operational Research 20:4, pages 2519-2536.
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Bhupesh K. Lad, Divya Shrivastava & Makarand S. Kulkarni. 2016. Machine Tool Reliability. Machine Tool Reliability 277 295 .
Divya Shrivastava, Makarand S. Kulkarni & Prem Vrat. (2015) Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart. The International Journal of Advanced Manufacturing Technology 82:9-12, pages 2101-2112.
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A. Ganguly & S.K. Patel. (2012) Economic Design of Control Chart Using Simulated Annealing. Procedia Engineering 38, pages 1037-1043.
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Divya Pandey, Makarand S. Kulkarni & Prem Vrat. (2011) A methodology for joint optimization for maintenance planning, process quality and production scheduling. Computers & Industrial Engineering 61:4, pages 1098-1106.
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Huifen Chen & Yikung Pao. (2011) The joint economic-statistical design of X and R charts for nonnormal data . Quality and Reliability Engineering International 27:3, pages 269-280.
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Yit-Ming Yang, Chia-Yi Su & W.L. Pearn. (2010) Economic design of x¯-control charts for continuous flow process with multiple assignable causes. International Journal of Production Economics 128:1, pages 110-117.
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F.L. Chen & C.H. Yeh. (2009) Economic statistical design of non-uniform sampling scheme X bar control charts under non-normality and Gamma shock using genetic algorithm. Expert Systems with Applications 36:5, pages 9488-9497.
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Ching Pou Chang, Hsiang Chin, Yuan-Du Hsiao & Fong-Jung Yu. (2009) Effect of Preventive Maintenance on the Economic Design of Control Chart. IFAC Proceedings Volumes 42:4, pages 1704-1707.
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P. Castagliola, G. Celano & S. Fichera. 2008. Recent Advances in Reliability and Quality in Design. Recent Advances in Reliability and Quality in Design 375 405 .
A. Al-Ghazi, K. Al-Shareef & S. O. Duffuaa. (2007) Integration of Taguchi&#x2019;s loss function in the economic design of <tex>$\bar x$</tex> - control charts with increasing failure rate and early replacement. Integration of Taguchi&#x2019;s loss function in the economic design of <tex>$\bar x$</tex> - control charts with increasing failure rate and early replacement.
Loon Ching Tang, Thong Ngee Goh, Shao Wei Lam & Cai Wen Zhang. (2007) Fortification of Six Sigma: expanding the DMAIC toolset. Quality and Reliability Engineering International 23:1, pages 3-18.
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Chin-Diew Lai, D.N. Murthy & Min Xie. 2006. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 63 78 .
S.F. Yang & M.A. Rahim. (2005) Economic statistical process control for multivariate quality characteristics under Weibull shock model. International Journal of Production Economics 98:2, pages 215-226.
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Fong-Jung Yu & Chinyao Low. (2004) An algorithm for the determination of optimal design parameters of x̄control charts. The International Journal of Advanced Manufacturing Technology 26:1-2, pages 86-89.
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Yun-Shiow Chen & Yit-Ming Yang. (2002) An extension of Banerjee and Rahim's model for economic design of moving average control chart for a continuous flow process. European Journal of Operational Research 143:3, pages 600-610.
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Yun-Shiow Chen & Yit-Ming Yang. (2002) Economic design of x̄-control charts with Weibull in-control times when there are multiple assignable causes. International Journal of Production Economics 77:1, pages 17-23.
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Elart von Collani & Gudrun Kiesmüller. 2001. Integrated Models in Production Planning, Inventory, Quality, and Maintenance. Integrated Models in Production Planning, Inventory, Quality, and Maintenance 245 275 .
Antonio F. B. Costa & M. A. Rahim. (2000) Economic design of ?? andR charts under Weibull shock models. Quality and Reliability Engineering International 16:2, pages 143-156.
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Timothy S. Vaughan. (1999) The effect of process adjustment error on?? chart design. Naval Research Logistics 46:6, pages 597-612.
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GUOQIANG ZHANG & VICTOR BERARDI. (1997) ECONOMIC STATISTICAL DESIGN OF X̄ CONTROL CHARTS FOR SYSTEMS WITH WEIBULL IN-CONTROL TIMES. Computers & Industrial Engineering 32:3, pages 575-586.
Crossref
M. A. Rahim. 1997. Optimization in Quality Control. Optimization in Quality Control 175 196 .
E. v. Collani. 1997. Optimization in Quality Control. Optimization in Quality Control 89 143 .
M. A. Rahim & K. S. Al-Sultan. 1997. Optimization in Quality Control. Optimization in Quality Control 55 86 .
K. S. Al-Sultan. 1997. Optimization in Quality Control. Optimization in Quality Control 3 53 .
Huan‐Neng Chiu & Bo‐Shi Huang. (1995) The economic design of • and S 2 control charts with preventive maintenance and increasing hazard rate . Journal of Quality in Maintenance Engineering 1:4, pages 17-40.
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