Measuring quality costs has been emphasized as an important part of quality improvement since the early 1950s. A chapter on quality costs seems to be almost compulsory in every book pertaining to total quality management, business process improvement, and similar topics. There is no doubt that measuring quality costs is useful in order to direct improvement efforts; the problem is that the concept is not as valid today as it used to be. While customer requirements and production systems have changed considerably during the last decades, quality cost measurement is advocated in nearly the same way as it was 40 years ago. This work presents a new customer and process focused poor quality cost model that enables the provider of a product or service to focus on elements that really matter to his customers. The input to the model is customer requirements and the output is expected poor quality costs estimated through the Taguchi loss function. Quality function deployment is used to translate the voice of the customer to key process parameters, that is process parameters having a direct influence on the fulfilment of customer requirements. The quality function deployment matrix is also used to estimate intangible costs. Traditional cost categories have been altered, and the expected loss for each cost category is estimated based on actual process performance and stepwise quadratic loss functions with multiple intervals. The intended use of the model is as a top management decision‐making tool able to link quality improvement to customer satisfaction and loyalty.
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Research Article|
October 01 1998
New quality cost model used as a top management tool Available to Purchase
Rune M. Moen
Rune M. Moen
Norwegian Institute of Wood Technology, Oslo, Norway
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Publisher: Emerald Publishing
Online ISSN: 1758-6887
Print ISSN: 0954-478X
© MCB UP Limited
1998
The TQM Magazine (1998) 10 (5): 334–341.
Citation
Moen RM (1998), "New quality cost model used as a top management tool". The TQM Magazine, Vol. 10 No. 5 pp. 334–341, doi: https://doi.org/10.1108/09544789810231216
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