 Quality improvement of T-shirt using fuzzy QFD: a case studyTaposh Kumar Kapuria and Mustafizur Rahman International Journal of Management Concepts and Philosophy, 2018, vol. 11, issue 4, 393-414 Abstract: The ready-made garment industry is one of the most successful industries in Bangladesh. Its performance is notable over two decades. The purpose of this paper is to present a fuzzy quality function deployment (FQFD) model to identify customer requirements and design the production process and improve the quality of the T-shirts according to the requirements. To overcome the shortcomings of the traditional QFD, fuzzy set theory is integrated with HOQ. It will capture the vagueness of the customer requirements and facilitate to prioritise QFD information. For building HOQ, the design process starts with the data collection and ends with making some suggestions for improvement. Factors which improve the quality of the T-shirts have been identified from the HOQ matrices to develop some suggestions for improvements. The proposed improvements include: development of standard production operation of T-shirts, training workers, implementation of quality management department and development of flexible production schedule. Keywords: ready-made garment; RMG; quality function deployment; QFD; fuzzy; house of quality; HOQ; 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:ijmcph:v:11:y:2018:i:4:p:393-414 Access Statistics for this article More articles in International Journal of Management Concepts and Philosophy from Inderscience Enterprises Ltd |
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