CUSTOMER PERCEIVED QUALITY IMPROVEMENT OF SYNTHETIC FIBER USING FUZZY QFD: A CASE STUDY


Golam Kabir, M. Ahsan Akhtar Hasin

Abstract: The performance of the ready-m ade garment (RMG) industry has been one of the most notable success stories of the Bangladesh economy over two decades. To meet the growing de mand of synthetic yarns, Bangladesh has to import it from fo reign countries which cost a substantial amount of foreign currency for the country. It is a pressing need for local manufacturers to come forward, produce quality synthetic yarn and fulfill the demand of the local market. The purpose of this paper is to present a Fuzzy Quality Function Deployment (FQFD) model to indentify customer requirements and also demonstrate how these requirements can be used to prioritize the design requirements for m anufacturing of synthetic yarns. In this system, Fuzzy set theory is inte grated into house of quality (HOQ) to overcome the shortcomings of th e traditional QFD and to capture the inherent impreciseness and vaguene ss of customer requirements and facilitate to prioritize QFD informa tion. Improving high priority design requirements will ultimately increase cu stomer satisfaction and as a result customer perceived quality will soar.

Keywords: ustomer Satisfaction, Fuzzy Quality Function Deployment (FQFD), House of Quality (HOQ)

DOI:

Recieved: 20.01.2011  Accepted: 10.04.2011  UDC: 378:001.891

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