Title: Quality improvement of T-shirt using fuzzy QFD: a case study

Authors: Taposh Kumar Kapuria; Mustafizur Rahman

Addresses: Department of Industrial and Production Engineering, Jessore University of Science and Technology, Jessore-7408, Bangladesh ' Department of Industrial and Production Engineering, Jessore University of Science and Technology, Jessore-7408, Bangladesh

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.

DOI: 10.1504/IJMCP.2018.096057

International Journal of Management Concepts and Philosophy, 2018 Vol.11 No.4, pp.393 - 414

Received: 21 Nov 2017
Accepted: 19 May 2018
Published online: 09 Nov 2018 *

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