A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0

The purpose of this research was to explore a systematic pattern for selecting quality tools and techniques in industrial revolution 4.0 particularly in smart manufacturing context. This study asked, “What are the appropriate tools and techniques concerning circumstances of quality dimensions and sm...

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Main Author:	Mohd Isa, Saifuddin
Format:	Thesis
Language:	English English
Published:	2019
Subjects:	H Social Sciences (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/24652/1/A%20Clustering%20Based%20Matrix%20For%20Selecting%20Appropriate%20Quality%20Tools%20And%20Techniques%20In%20Industrial%20Revolution%204.0.pdf http://eprints.utem.edu.my/id/eprint/24652/2/A%20Clustering%20Based%20Matrix%20For%20Selecting%20Appropriate%20Quality%20Tools%20And%20Techniques%20In%20Industrial%20Revolution%204.0.pdf
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institution	Universiti Teknikal Malaysia Melaka
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language	English English
topic	H Social Sciences (General) H Social Sciences (General)
spellingShingle	H Social Sciences (General) H Social Sciences (General) Mohd Isa, Saifuddin A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0
description	The purpose of this research was to explore a systematic pattern for selecting quality tools and techniques in industrial revolution 4.0 particularly in smart manufacturing context. This study asked, “What are the appropriate tools and techniques concerning circumstances of quality dimensions and smart manufacturing?” To answer this question, this research developed a diagnostic matrix by developing the outcome matrix for selecting appropriate quality tools and techniques. This matrix is intended to help non-expert users and industrial practitioner to select appropriate sets of quality tools and techniques for solving different quality problems. By conducting an analysis, the researcher uncovered homogeneous patterns of enough quality case studies, which ultimately provided the basis for selecting appropriate groups of quality tools and techniques in different circumstances. Multiple case study and in-depth literature review were employed as the research design approach. Two key data collection methods (qualitative methods) were used: Firstly, primary data from face-to-face interview with Toyo Memory Technology and Intel Malaysia and secondly, secondary data from previous study. Accordingly, this review on the previous study allows the researcher to establish the theoretical framework. This review coupled with the case study analysis led to the identification on the real implementation of quality tools and techniques in the industries. Thus, the researcher gained the information on how the industries select the quality tools and techniques to manage quality performance in the organization and the researcher examined the association and prevalence of different quality tools and techniques and the quality dimensions in context of smart manufacturing component. The study developed the clustering-based matrix of quality tools and techniques for smart manufacturing. After developing and verifying the developed matrix, the researcher discussed their strengths and limitations as well as their roles for selecting the appropriate quality tools and techniques in the context of smart manufacturing industries. The finding of this study is a clustering-based matrix for selecting appropriate quality tools and techniques in smart manufacturing that has been successfully developed. The proposed matrix applies quality management dimensions and smart manufacturing component to facilitate waste elimination, defect reduction and improving productivity in smart manufacturing that can be used as a basis for many future investigations in the field of quality management and industrial revolution 4.0.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohd Isa, Saifuddin
author_facet	Mohd Isa, Saifuddin
author_sort	Mohd Isa, Saifuddin
title	A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0
title_short	A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0
title_full	A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0
title_fullStr	A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0
title_full_unstemmed	A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0
title_sort	clustering based matrix for selecting appropriate quality tools and techniques in industrial revolution 4.0
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Technology Management and Technopreneurship
publishDate	2019
url	http://eprints.utem.edu.my/id/eprint/24652/1/A%20Clustering%20Based%20Matrix%20For%20Selecting%20Appropriate%20Quality%20Tools%20And%20Techniques%20In%20Industrial%20Revolution%204.0.pdf http://eprints.utem.edu.my/id/eprint/24652/2/A%20Clustering%20Based%20Matrix%20For%20Selecting%20Appropriate%20Quality%20Tools%20And%20Techniques%20In%20Industrial%20Revolution%204.0.pdf
_version_	1747834079788662784
spelling	my-utem-ep.246522021-10-05T11:57:35Z A Clustering Based Matrix For Selecting Appropriate Quality Tools And Techniques In Industrial Revolution 4.0 2019 Mohd Isa, Saifuddin H Social Sciences (General) HD Industries. Land use. Labor The purpose of this research was to explore a systematic pattern for selecting quality tools and techniques in industrial revolution 4.0 particularly in smart manufacturing context. This study asked, “What are the appropriate tools and techniques concerning circumstances of quality dimensions and smart manufacturing?” To answer this question, this research developed a diagnostic matrix by developing the outcome matrix for selecting appropriate quality tools and techniques. This matrix is intended to help non-expert users and industrial practitioner to select appropriate sets of quality tools and techniques for solving different quality problems. By conducting an analysis, the researcher uncovered homogeneous patterns of enough quality case studies, which ultimately provided the basis for selecting appropriate groups of quality tools and techniques in different circumstances. Multiple case study and in-depth literature review were employed as the research design approach. Two key data collection methods (qualitative methods) were used: Firstly, primary data from face-to-face interview with Toyo Memory Technology and Intel Malaysia and secondly, secondary data from previous study. Accordingly, this review on the previous study allows the researcher to establish the theoretical framework. This review coupled with the case study analysis led to the identification on the real implementation of quality tools and techniques in the industries. Thus, the researcher gained the information on how the industries select the quality tools and techniques to manage quality performance in the organization and the researcher examined the association and prevalence of different quality tools and techniques and the quality dimensions in context of smart manufacturing component. The study developed the clustering-based matrix of quality tools and techniques for smart manufacturing. After developing and verifying the developed matrix, the researcher discussed their strengths and limitations as well as their roles for selecting the appropriate quality tools and techniques in the context of smart manufacturing industries. The finding of this study is a clustering-based matrix for selecting appropriate quality tools and techniques in smart manufacturing that has been successfully developed. The proposed matrix applies quality management dimensions and smart manufacturing component to facilitate waste elimination, defect reduction and improving productivity in smart manufacturing that can be used as a basis for many future investigations in the field of quality management and industrial revolution 4.0. 2019 Thesis http://eprints.utem.edu.my/id/eprint/24652/ http://eprints.utem.edu.my/id/eprint/24652/1/A%20Clustering%20Based%20Matrix%20For%20Selecting%20Appropriate%20Quality%20Tools%20And%20Techniques%20In%20Industrial%20Revolution%204.0.pdf text en public http://eprints.utem.edu.my/id/eprint/24652/2/A%20Clustering%20Based%20Matrix%20For%20Selecting%20Appropriate%20Quality%20Tools%20And%20Techniques%20In%20Industrial%20Revolution%204.0.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=117020 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Technology Management and Technopreneurship 1. Abdulrahman Alsaleh, N., 2007. 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