Electron. J. Math. Phys. Sci., 2002, Sem. 1, 9-15

 

Bayesian Economic Cost Plans II. The Average Outgoing Quality

Abraham F. Jalbout ^1*$, Hadi Y. Alkahby ², Fouad N. Jalbout ³ , Abdulla Darwish ³

¹Department of Chemistry, University of New Orleans, New Orleans, LA 70148-2820 USA, E-mail: Ajalbout@ejmaps.org

²Department of Mathematics, Dillard University, New Orleans, LA 70112 USA

³Department of Physics and Engineering, Dillard University, New Orleans, LA 70112 USA

 

*Author to whom correspondence should be addressed. ^$Speaker at the 16^th Annual Conference on Applied Mathematics (CAM), University of Central Oklahoma, February 22-23, 2001

Received: 14 December 2001 / Accepted: 5 January 2002/Pubished: 15 January 2002

 

Abstract: In recent years researchers in various quality control procedures consider the possibility of inspection errors as an important issue. The presence of these errors leads to changes in the so-called operational characteristic (O.C.) control curve, and as a result the average outgoing quality of an industrial process. We present a new mathematical model that can be applied to calculate such quantities as the expected number of defective items replaced in an accepted lot, and other functions of this process.

Keywords: Inspection Errors, industrial process, Bayesian methods, statistics

 

Document Summary:

 

History	Received: 14 December 2001 / Accepted: 5 January 2002/Pubished: 15 January 2002
Subject	Quality control, engineering
AMS Codes	CODE: 46N30 Miscellaneous applications of functional analysis: Applications in probability theory and statistics CODE: 62P30 Applications: Applications in engineering and industry YEAR: 2002
Keywords	Bayesian analysis, cost model, comparison, lot size, fraction defective
Doc type	Lecture series, seminar edition of EJMAPS
Edition	Electronic Journal of Mathematical and Physical Sciences Conference/Seminar Edition [ISSN: 1538-3318]

 

© 2002 by EJMAPS (http://www.ejmaps.org). Reproduction for noncommercial purposes permitted