Track: Quality Control

Abstract

This study is a research program on the implementation of the Total Quality Management (TQM) framework in the readymade garments (RMG) manufacturing industries detailing the order in which quality tools and techniques should be implemented. This study aims to implement TQM and determine whether and how the application of Total Quality Management (TQM) practices can improve organizational and quality performance in the readymade (RMG) garments manufacturing industries. The study suggests implementing the TQM framework to develop quality performances within the ready-made garments (RMG) industries in Bangladesh by applying and analyzing, various quality tools, techniques, and TQM approaches The research methodology adopted a comprehensive literature review on TQM, followed by a questionnaire survey.

A self-completion questionnaire was designed and perception-based data were collected from a sample of three hundred and twenty-two (322) readymade garment (RMG) firms, from greater Dhaka city Bangladesh (BGMEA, 2018-19). Quantitative data analysis is being adopted, following a questionnaire survey within RMG industries to collect primary data, from 06 (six) different places of greater city Dhaka, in Bangladesh by self-designed questionnaires, and analyzed through statistical software i.e. SPSS and AMOS (SEM). Secondary data is to be collected from articles, journals, various ministry websites of Bangladesh, and related online resources. The research study covers a wide range of various concepts of quality. TQM is defined and illustrated by various authors and scholars. The literature part also includes detailed discussion, benefits, justification, and hindrances of TQM implementation. Researcher practices SPSS-25 & AMOS (for SEM) software to carry out various tests for data analysis, such as reliability and validity, descriptive statistics, frequency distribution, p-test, chi-square, ordinal logistic method (OLM), confirmatory factor analysis (CFA), factor loading, average variance extracted (AVE), discriminant validity tests to find out proper findings for justifying the research study.