 Hybrid fuzzy MCDM model for effective utilisation of quality cost analysis in manufacturing firmsA. Sailaja, P.C. Basak and K.G. Viswanadhan International Journal of Productivity and Quality Management, 2018, vol. 24, issue 2, 219-241 Abstract: Modern manufacturing industries face a myriad of challenges due to globalisation and effective quality management programmes which increase productivity and customer satisfaction through superior quality with least possible incurred costs and most optimal utilisation of resources has become the need of the hour. Quality cost analysis can provide a basis for planning the quality operations. But the interrelationship between different cost categories due to its varied patterns of investments and benefits, the approximations used in the assessment of hidden quality cost elements, the differences in the degree of importance of cost elements and mutually conflicting objectives makes the selection of the most optimal quality control program complex. A hybrid model using the strength of Analytic Hierarchy Process (AHP) together with the Fuzzy logic concept and Fuzzy MOORA is proposed in this study to overcome the limitations of present system as an effective decision making tool for manufacturing firms. Keywords: quality cost; fuzzy logic; fuzzy AHP; fuzzy MOORA; hybrid model; quality improvement. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:24:y:2018:i:2:p:219-241 Access Statistics for this article More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd |
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