Quality improvement of T-shirt using fuzzy QFD: a case study Online publication date: Fri, 09-Nov-2018
by Taposh Kumar Kapuria; Mustafizur Rahman
International Journal of Management Concepts and Philosophy (IJMCP), Vol. 11, No. 4, 2018
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.
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