12th Annual International Conference on Industrial Engineering and Operations Management

Cost of Quality: Literature Review Based on Meta-Analysis

Wiwik Sulistiyowati, Mokhamad Suef & Moses Laksono Singgih
Publisher: IEOM Society International
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Track: Modeling and Simulation
Abstract

Measurement of Cost of Quality (COQ) appears to be an important component for organizations to maintain or develop their market share in today's competitive business environment. Quality is a critical point and customer expectations of quality are always changing. Reducing quality costs decreases total organizational costs, which leads to lower prices for goods manufactured or services provided, increased customer satisfaction, and improved organizational performance. The purpose of this research is to show the development of the quality cos model during the previous fifty years, as illustrated in 446 real-data studies. A meta-analysis of these publications is carried out in order to show how the variables utilized in the research of Quality Costing have evolved through time, in connection to the date of publication, the business sector, and the geographical origin of each paper. Research methodologies approach the cost components were analysed using Multiple Correspondence Analysis integrated Vos Viewer and N-Vivo12 plus, which is a valuable approach for exploring the interrelationships among all aspects with the goal of identifying the dominant and most significant patterns in their structure. The findings of this research are the theme on Cost of Quality which covers 5 clusters and has five main topics. It is shown that there were in the 496 papers, 446 from database Scopus and 150 form databases DOAJ (Directory of Open Access Journals). The result of the Vos viewer showed that there are five concept clustery, namely: Cluster 1 related the concept of cost; cluster 2 highlights the concept of cost-effectiveness, and cluster 3 emphasizes the concept of humans. Furthermore, cluster 4 features a quality control philosophy, while cluster 5 focuses on risk. Based on meta-analysis with N-Vivo, shown that in Meta-Analysis using N-Vivo include cost (17.59 %), quality (17.59%), and quality cost (10.12 %), Quality Model (5,17 %). The limitation of this study is that the article reviewed sources from Scopus dan DOAJ. Furthermore, the topic about the cost of quality based on Failure Mode Effect Analysis is needed for application and development.

 

Keywords

Cost, Meta – Analysis, Quality, Quality Cost, Quality Model.

Published in: 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey

Publisher: IEOM Society International
Date of Conference: March 7-10, 2022

ISBN: 978-1-7923-6131-9
ISSN/E-ISSN: 2169-8767