A component-based simulation environment for statistical process control systems analysis

Robotics and Computer-Integrated Manufacturing

Volumn 21, Issue 2, 2005, Pages 99-107

  Speeding, T A ^a   Chandrashekar, M ^b  

^a UNIVERSITY OF GREENWICH   (United Kingdom)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Simulation; Statistical process control; Systems analysis manufacturing systems

Indexed keywords

COMPUTER PROGRAMMING LANGUAGES; COMPUTER SIMULATION; MATHEMATICAL MODELS; PERSONAL COMPUTERS; PROCESS CONTROL; ROBOTIC ARMS; STATISTICAL METHODS; SYSTEMS ANALYSIS; TEACHING;

MATERIAL FLOW; STATISTICAL PROCESS CONTROL (SPC); STRATEGIC MANAGEMENT; SYSTEM ANALYSIS MANUFACTURING SYSTEMS;

CONTROL SYSTEM ANALYSIS;

EID: 10444264530     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2002.11.001     Document Type: Article

References (24)

1. Cousins WT, Frederiksen J. Simulation: an application to quality control. J Qual Technol 1975;7(4):168-72.
2. Flowers AD, Cole JR. An application of computer simulation to quality control in manufacturing. HE Trans 1985;17:277-83.
3. Sinha MN, Willborn WWO. The management of quality assurance. USA: Wiley; 1985.
4. Elstrop SJ, Kaye MM, Nevell TG. The use of computer simulation in implementing a manufacturing process quality modelling system. Int J Qual Reliability Manage 1992;9(7):7-16.
5. Lester RH, Enrick NL, Mottley HE. Quality control for profit. USA: Marcell Decker; 1992.
6. Pidd M. Computer simulation in management sience, 3rd ed. New York: Wiley; 1992.
7. Pegden CD, Davis DA. ARENA™: A SIMAN/CINEMA based hierarchical system. Proceedings of the 1992 Winter Simulation Conference, 1992. p. 390-9.
8. Duncan AJ. Quality control and industrial statistics, 5th ed. Illinois: Irwin; 1986.
9. Cellier FE. Continuous system modelling. New York: Springer; 1991.
10. Chandrashekar M, Roe PH, Savage GJ. Graph theoretic models: a unifying modelling approach. Proceedings of the 23rd Annual Pittsburgh Conference on Modelling and Simulation, Pittsburgh, PA, Part 4, April 30-May 1, 1992. p. 213-21.
11. Thevenard D, Chandrashekar M. Development of a simulation platform for continuous time systems modelling. IEEE Systems Man Cybernetics Conference, Beijing, October 14-19, 1996. p. 2364-9.
12. Wadsworth HM, Stephens KS, Godfrey AB. Modern methods for quality improvement. New York: Wiley; 1986.
13. Montgomery DC. Introduction to statistical quality control, 4th ed. New York: Wiley; 2001.
14. Roberts SW. Control charts tests based on geometric moving averages. Technometrics 1959;1:234-50.
15. Crowder SV. A simple method for studying run-length distribution of exponentially weighted moving average charts. Technometrics 1987;29(4):401-7.
16. Duncan AJ. The economic design of Xbar charts when there is a multiplicity of assignable causes. J Am Stat Assoc 1971;66: 107-21.
17. Knapenberger HA, Grandage AHE. Minimum cost quality control tests. AIIE Trans 1969;1:24-32.
18. Duncan AJ. The economic design of Xbar charts used to maintain current control of a process. J Am Stat Assoc 1956;51:228-42.
19. Montgomery DC. The economic design of control charts: a renewal and literature survey. J Qual Technol 1980;12:75-87.
20. Chiu WK, Wetherill GB. A simplified scheme for the economic design of Xbar charts. J Qual Technol 9, 63-9.
21. Spedding TA, Sun G. Application of discrete event simulation to the activity based costing of manufacturing systems. Int J Product Econ 1999;58:289-301.
22. Box GEP, Hunter WG, Hunter JS. Statistics for experimenters: an introduction to design, data analysis and model building. New York: Wiley; 1978.
23. Box GEP, Jenkins GM, Reinsel GC. Time series analysis: forecasting and control, 3rd ed. New Jersey: Prentice-Hall; 1994.
24. Alwan LC, Roberts HV. The problem of misplaced control limits. Appl Stat 1985;44(3):269-78.