Access the full text.
Sign up today, get DeepDyve free for 14 days.
J. Tannock (1995)
Choice of inspection strategy using quality simulationInternational Journal of Quality & Reliability Management, 12
Joseph Juran, F. Gryna (1982)
Quality Planning and Analysis: From Product Development Through Usage
British Standards Institution
British Standards Institution BS 6143 Part 2 – Guide to the Economics of Quality – Prevention, Appraisal and Failure
W. Deming (1982)
Out of the Crisis
B.G. Dale, J.J. Plunkett
Quality Costing
R. Guh (1999)
IntelliSPC: a hybrid intelligent tool for on-line economical statistical process controlExpert Systems With Applications, 17
J. Freeman (1993)
Simulation for Quality Improvement, 19
L. Gardner, M. Grant, L. Rolston (1995)
Using simulation to assess costs of qualityWinter Simulation Conference Proceedings, 1995.
T. Burgess (1996)
Modelling quality‐cost dynamicsInternational Journal of Quality & Reliability Management, 13
Danupun Visawan, J. Tannock (2004)
Simulation of the economics of quality improvement in manufacturingInternational Journal of Quality & Reliability Management, 21
L. Porter, Paul Rayner (1992)
Quality costing for total quality managementInternational Journal of Production Economics, 27
Jd Bij, Jhw Ekert (1999)
Interaction between production control and quality controlInternational Journal of Operations & Production Management, 19
J. Plunkett, B. Dale (1988)
Quality costs: a critique of some ‘economic cost of quality’ modelsInternational Journal of Production Research, 26
T. Spedding, K. Chan (2001)
System level improvement using discrete event simulationInternational Journal of Quality & Reliability Management, 18
R.W. Schmenner
The art of making things fast
John Mapes, C. New, M. Szwejczewski (1997)
Performance trade‐offs in manufacturing plantsInternational Journal of Operations & Production Management, 17
A. Bajpai, P. Willey (1989)
Questions about Quality CostsInternational Journal of Quality & Reliability Management, 6
Y.-S. Chen, K. Tang (1992)
A pictorial approach to poor-quality cost managementIEEE Transactions on Engineering Management, 39
A. Ruyter, M. Cardew-Hall, P. Hodgson (2002)
Estimating quality costs in an automotive stamping plant through the use of simulationInternational Journal of Production Research, 40
J. Tannock (1997)
An economic comparison of inspection and control charting using simulationInternational Journal of Quality & Reliability Management, 14
J. Juran (1951)
Quality-control handbook
Marie Gaudard (1987)
Poor-Quality Cost
J.T. Godfrey, W.R. Pasewark
Controlling quality costs
D. Visuwan, J.D.T. Tannock
Simulation of the economics of quality improvement in manufacturing. A case study from the Thai automotive industry
H. Clark (1999)
The development and implementation of a simulation tool for the assessment of quality economics within a cell-based manufacturing companyInternational Journal of Production Research, 37
I. Yavuz, A. Satir (1995)
Kanban-based operational planning and control: simulation modellingProduction Planning & Control, 6
Purpose – Many authors have suggested that disruption and associated costs result from poor quality performance in manufacturing. The purpose of this paper is to define and quantify the disruption costs associated with a simple manufacturing scenario using a simulation approach. Design/methodology/approach – A manufacturing cell incorporating inspection and rework was simulated, and a validation exercise carried out. Using results from the simulation study, the authors then formulate the concept of a cost category for disruption cost, which is compatible with the traditional prevention‐appraisal‐failure (PAF) model for quality costs. Findings – Comparative graphs of disruption costs and PAF costs elements are presented. The simulated disruption cost is compared with these traditional costs categories, and found to represent a significant additional cost at higher levels of non‐conformance. Research limitations/implications – The results presented in this paper are derived from a discrete‐event simulation exercise, using a model of a simplified generic manufacturing cell. They are believed to be indicative of costs that would occur in practical situations, but are not validated with empirical data. Further work would include such validation. Practical implications – This is a theoretical paper, which attempts to extend a useful and well established cost model that has been widely accepted in industry. Originality/value – The originality of this paper lies in the definition of the concept of disruption cost, as a separate category of quality cost. The simulation work indicates the potential size and behaviour of the disruption cost, compared with the traditional PAF costs categories.
International Journal of Quality & Reliability Management – Emerald Publishing
Published: Mar 20, 2007
Keywords: Quality costs; Simulation; Manufacturing systems
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.