Hierarchizing the Product Characteristics of Industrial Plain Sewing Machine for Making Best Purchase Decision

Abstract

Thousands of readymade garment industries are available in Bangladesh, where thousands of sewing machines are being used. The productivity of these sewing machines mostly depends on workers but more or less depends on the machine too. Suitable machines should be sourced to increase worker efficiency and production. Purchasing these machines needs some information or criteria ranking for choosing the best or most suitable machine. This study focuses on identifying and prioritizing those characteristics that fulfil the workers’ (users’) requirements and benefit the industry’s overall income. This study intends to investigate the application of the fuzzy Kano model and AHP (analytical hierarchy process) to translate consumer expectations and design into quality products. Customer needs and technical attributes are assessed and prioritized using the AHP. Then, the optional attributes were prioritized by using the Kano model. RMG industries and their purchasing departments can use these prioritized qualities charts to help them choose a sewing machine. Manufacturers of sewing machines can utilize this information to improve their sewing machine qualities, such as if they need to add or remove any attributes that the consumer requires or does not require.