Development of empirical quality cost model for a manufacturing industry
S.B. Jaju,
R.R. Lakhe and
S.S. Bhagade
International Journal of Productivity and Quality Management, 2010, vol. 6, issue 1, 48-70
Abstract:
In today's world of globalisation, it is considered that a business without quality products or services will not survive. Quality-related costs arise from a number of activities and involve every department in an industry, which are ultimately affecting the quality of the product or service. In order to satisfy the customer's need at lower cost, one should know the interactions between quality-related activities associated with prevention, appraisal, internal failure and external failure costs. Several authors point to the need and value of understanding the relationship between total quality cost and other cost categories. In this paper, an attempt is made to establish the mathematical relationship using regression analysis between quality cost and its cost component. The effect of each cost component on total quality cost is studied with the help of data collected in a manufacturing industry. The empirical quality cost model is developed for a manufacturing industry.
Keywords: quality cost modelling; quality costs; regression analysis; correlation; manufacturing industry; total quality cost; prevention costs; appraisal costs; internal failure costs; external failure costs. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=33884 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:6:y:2010:i:1:p:48-70
Access Statistics for this article
More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().