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

The performance of the ready-made garment (RMG) industry has been one of the most notable success stories of the Bangladesh economy over two decades. To meet the growing demand of synthetic yarns, Bangladesh has to import it from foreign 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 manufacturing of synthetic yarns. In this system, Fuzzy set theory is integrated into house of quality (HOQ) to overcome the shortcomings of the traditional QFD and to capture the inherent impreciseness and vagueness of customer requirements and facilitate to prioritize QFD information. Improving high priority design requirements will ultimately increase customer satisfaction and as a result customer perceived quality will soar.