The effect on the R chart of precision of measurement

Journal of Quality Technology

Volumn 30, Issue 3, 1998, Pages 232-239

  Tricker, A ^a,b   Coates, E ^a,b   Okell, E ^a,b  

^a SHEFFIELD HALLAM UNIVERSITY   (United Kingdom)

^b Dept of Comp and Mgmt Sciences ^*  (United Kingdom)

Author keywords

Average Run Length; R Charts; Simulation

Indexed keywords

GRAPHIC METHODS; MEASUREMENT ERRORS; PRECISION ENGINEERING; RANDOM PROCESSES;

CONTROL CHART; MEASUREMENT PRECISION; ROUNDING PROCESS;

STATISTICAL PROCESS CONTROL;

EID: 0032124246     PISSN: 00224065     EISSN: None     Source Type: Journal    
DOI: 10.1080/00224065.1998.11979851     Document Type: Article

References (7)

1. AUTOMOTIVE INDUSTRY ACTION GROUP (1990). Measurement Systems and Guidelines. Automotive Industry Action Group, Detroit, MI.
2. BS 2846 (1991). Part 1: Statistical Interpretation of Quantitative Data. British Standards Institution, London, U.K.
3. BISSELL, D. (1994). Statistical Methods for SPC and TQM. Chapman & Hall, London, UK.
4. DEPARTMENT OF TRADE AND INDUSTRY (1979). Code of Practical Guidance for Packers and Importers. Weights and Measures Act (1979), HMSO, London, UK.
5. STEINER, S. H.; GEYER, P. L.; and WESOLOWSKY, G. O. (1996). "Shewhart Control Charts to Detect Mean and Standard Deviation Shifts Based on Grouped Data". Quality and Reliability Engineering International 12, pp 345-353.
6. TRICKER, A. R. (1988). "The Effect on Statistical Inference of the Degree of Precision of Recorded Data". Ph.D. Dissertation, Sheffield Hallam University, Sheffield, UK.
7. WHEELER, D. J. and LYDAY, R. W. (1990). Evaluating the Measurement Process. Addison-Wesley, New York, NY.