Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective
Nowadays, manufacturing complexity (MC) is considered as a major challenge in manufacturing industry. MC covers a very wide area in manufacturing practices either within firm's control or out of control, either directly or indirectly with manufacturing routines. As the technology and globalizat...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Teknikal Malaysia Melaka
2020
|
Online Access: | http://eprints.utem.edu.my/id/eprint/25120/2/DOCUMENT.PDF http://eprints.utem.edu.my/id/eprint/25120/ https://jamt.utem.edu.my/jamt/article/view/5945/3903 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utem.eprints.25120 |
---|---|
record_format |
eprints |
spelling |
my.utem.eprints.251202021-04-19T14:18:11Z http://eprints.utem.edu.my/id/eprint/25120/ Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective Wan Mahmood, Wan Hasrulnizzam Mohd Rosdi, Mohd Noor Hanif Kamat, Seri Rahayu Tukimin, Rahayu Ayuni, Numfor Solange Nowadays, manufacturing complexity (MC) is considered as a major challenge in manufacturing industry. MC covers a very wide area in manufacturing practices either within firm's control or out of control, either directly or indirectly with manufacturing routines. As the technology and globalization getting better, the challenges born by MC are also getting tougher. This scenario experienced by worldwide manufacturing firms including Malaysian manufacturing industry. In order to face this challenges, it is essential to manage MC accordingly. Although some researchers expressed MC negatively, it is believed that managing MC in correct manners will be beneficial to manufacturing firms. The first step towards managing MC accordingly is knowing MC itself in every angle. Generally, MC is divided into two division which are internal MC (IM) and external MC (EM). Initially, both division have several elements which the numbers are 30 and 22 elements for IM and EM, respectively. A set of questionnaire survey consisting of these elements has been distributed to representative of manufacturing firms across Malaysia to gather the information and through factorial analysis using Statistical software (SPSS), these elements are classified into smaller number of classification to facilitate towards the better MC management. Penerbit Universiti Teknikal Malaysia Melaka 2020-08-28 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25120/2/DOCUMENT.PDF Wan Mahmood, Wan Hasrulnizzam and Mohd Rosdi, Mohd Noor Hanif and Kamat, Seri Rahayu and Tukimin, Rahayu and Ayuni, Numfor Solange (2020) Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective. Journal of Advanced Manufacturing Technology, 14 (2). pp. 65-76. ISSN 1985-3157 https://jamt.utem.edu.my/jamt/article/view/5945/3903 |
institution |
Universiti Teknikal Malaysia Melaka |
building |
UTEM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknikal Malaysia Melaka |
content_source |
UTEM Institutional Repository |
url_provider |
http://eprints.utem.edu.my/ |
language |
English |
description |
Nowadays, manufacturing complexity (MC) is considered as a major challenge in manufacturing industry. MC covers a very wide area in manufacturing practices either within firm's control or out of control, either directly or indirectly with manufacturing routines. As the technology and globalization getting better, the challenges born by MC are also getting tougher. This scenario experienced by worldwide manufacturing firms including Malaysian manufacturing industry. In order to face this challenges, it is essential to manage MC accordingly. Although some researchers expressed MC negatively, it is believed that managing MC in correct manners will be beneficial to manufacturing firms. The first step towards managing MC accordingly is knowing MC itself in every angle. Generally, MC is divided into two division which are internal MC (IM) and external MC (EM). Initially, both division have several elements which the numbers are 30 and 22 elements for IM and EM, respectively. A set of questionnaire survey consisting of these elements has been distributed to representative of manufacturing firms across Malaysia to gather the information and through factorial analysis using Statistical software (SPSS), these elements are classified into smaller number of classification to facilitate towards the better MC management. |
format |
Article |
author |
Wan Mahmood, Wan Hasrulnizzam Mohd Rosdi, Mohd Noor Hanif Kamat, Seri Rahayu Tukimin, Rahayu Ayuni, Numfor Solange |
spellingShingle |
Wan Mahmood, Wan Hasrulnizzam Mohd Rosdi, Mohd Noor Hanif Kamat, Seri Rahayu Tukimin, Rahayu Ayuni, Numfor Solange Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective |
author_facet |
Wan Mahmood, Wan Hasrulnizzam Mohd Rosdi, Mohd Noor Hanif Kamat, Seri Rahayu Tukimin, Rahayu Ayuni, Numfor Solange |
author_sort |
Wan Mahmood, Wan Hasrulnizzam |
title |
Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective |
title_short |
Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective |
title_full |
Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective |
title_fullStr |
Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective |
title_full_unstemmed |
Discovering The Classification Of Manufacturing Complexity From Malaysian Industry Perspective |
title_sort |
discovering the classification of manufacturing complexity from malaysian industry perspective |
publisher |
Penerbit Universiti Teknikal Malaysia Melaka |
publishDate |
2020 |
url |
http://eprints.utem.edu.my/id/eprint/25120/2/DOCUMENT.PDF http://eprints.utem.edu.my/id/eprint/25120/ https://jamt.utem.edu.my/jamt/article/view/5945/3903 |
_version_ |
1698700628447985664 |
score |
13.18916 |