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| Authors: | Ínci Sentarh: Çankaya University, Department of Management, Turkey | ||||
| Publication title: | Quality Cost Modeling Process for Production Systems | ||||
| Conference: | 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence, 18-20 June, 2007 in Helsingborg, Sweden | ||||
| Publication type: | Abstract and Fulltext | ||||
| Issue: | 026 | ||||
| Article No.: | 097 | ||||
| Abstract: | Minimizing the sum of quality costs related to limited resources forms one of the main determinants in a company’s success. In production systems, resources such as labors inspecting items produced, labors training personnel to prevent items from erroneous results, labors reworking on erroneous items, labors dealing with complaints about erroneous products etc. are limited. Hence, it is important to find out the most suitable mix of conformance and nonconformance costs of products in allocation of the scarce resources. In literature, the cost of poor quality as a result of imperfections of a vendor’s incoming input materials and the errors of the manufacturing process were investigated (Tagaras, 1996). An optimization model including appointment of the cost of quality between the two parties as buyers and suppliers was also analyzed (Baiman, 2000). However, models optimizing total quality costs including each quality cost components has not been studied extensively. In this study, a generalized optimization model for a multistage production system based on quality costs as conformance and nonconformance costs has been developed. | ||||
| Language: | English | ||||
| Keywords: | Quality cost, modeling, production systems | ||||
| Year: | 2007 | ||||
| No. of pages: | 8 | ||||
| Series: | Linköping Electronic Conference Proceedings | ||||
| ISSN (print): | 1650-3686 | ||||
| ISSN (online): | 1650-3740 | ||||
| File: | http://www.ep.liu.se/ecp/026/097/ecp0726097.pdf | ||||
| Available: | 2008-02-15 | ||||
| Publisher: | Linköping University Electronic Press, Linköpings universitet | ||||
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