Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement

Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement

Productivity improvement in manufacturing industry is always the key focus to strengthen an enterprise cost position to stay ahead of competition. Increase in productivity can reduce the cost of work on the production unit or an increase in output. This study emphasises on enhancing the work method...

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Main Author: Yakop, Mohd Halim
Format: Thesis
Language:English
English
Published: 2018
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
Online Access:http://eprints.utem.edu.my/id/eprint/23878/1/Automated%20System%20%E2%80%93%20Application%20Of%20AHP%20And%20Topsis%20Analysis%20For%20Productivity%20Improvement.pdf
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id my-utem-ep.23878
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Yakop, Mohd Halim
Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement
description Productivity improvement in manufacturing industry is always the key focus to strengthen an enterprise cost position to stay ahead of competition. Increase in productivity can reduce the cost of work on the production unit or an increase in output. This study emphasises on enhancing the work method in food industry by proposing an automated practice that is imposed to eliminate waste activities for continuous improvement. Additionally, this study focuses at lekor shaping process in Zazihan Enterprise. The production report showed that the company is having a shortage for cheesy lekor ball due to low production rate compared to targeted demand. The objective of this study is to analyse the current method by using work study and identify all activities related to the shaping process for cheesy lekor ball. Apparently, based on multiple-criteria requirement, AHP and TOPSIS analysis were used to determine the best automated machine for the shaping process of replacing a manual method. Finally, the proposed method was evaluated, and the results indicated that the productivity improvement rate is increased by 860% which is from 45 to 432 bulk per week. Moreover, the number of worker has been reduced as the proposed method only requires a single person to operate while other workers can focus on producing different types of products at the same time.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Yakop, Mohd Halim
author_facet Yakop, Mohd Halim
author_sort Yakop, Mohd Halim
title Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement
title_short Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement
title_full Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement
title_fullStr Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement
title_full_unstemmed Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement
title_sort automated system – application of ahp and topsis analysis for productivity improvement
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty Of Manufacturing Engineering
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/23878/1/Automated%20System%20%E2%80%93%20Application%20Of%20AHP%20And%20Topsis%20Analysis%20For%20Productivity%20Improvement.pdf
http://eprints.utem.edu.my/id/eprint/23878/2/Automated%20System%20%E2%80%93%20Application%20Of%20AHP%20And%20Topsis%20Analysis%20For%20Productivity%20Improvement.pdf
_version_ 1747834056537538560
spelling my-utem-ep.238782022-02-08T15:33:58Z Automated System – Application Of AHP And Topsis Analysis For Productivity Improvement 2018 Yakop, Mohd Halim T Technology (General) TJ Mechanical engineering and machinery Productivity improvement in manufacturing industry is always the key focus to strengthen an enterprise cost position to stay ahead of competition. Increase in productivity can reduce the cost of work on the production unit or an increase in output. This study emphasises on enhancing the work method in food industry by proposing an automated practice that is imposed to eliminate waste activities for continuous improvement. Additionally, this study focuses at lekor shaping process in Zazihan Enterprise. The production report showed that the company is having a shortage for cheesy lekor ball due to low production rate compared to targeted demand. The objective of this study is to analyse the current method by using work study and identify all activities related to the shaping process for cheesy lekor ball. Apparently, based on multiple-criteria requirement, AHP and TOPSIS analysis were used to determine the best automated machine for the shaping process of replacing a manual method. Finally, the proposed method was evaluated, and the results indicated that the productivity improvement rate is increased by 860% which is from 45 to 432 bulk per week. Moreover, the number of worker has been reduced as the proposed method only requires a single person to operate while other workers can focus on producing different types of products at the same time. 2018 Thesis http://eprints.utem.edu.my/id/eprint/23878/ http://eprints.utem.edu.my/id/eprint/23878/1/Automated%20System%20%E2%80%93%20Application%20Of%20AHP%20And%20Topsis%20Analysis%20For%20Productivity%20Improvement.pdf text en public http://eprints.utem.edu.my/id/eprint/23878/2/Automated%20System%20%E2%80%93%20Application%20Of%20AHP%20And%20Topsis%20Analysis%20For%20Productivity%20Improvement.pdf text en validuser http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113620 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Manufacturing Engineering 1. Adrian, S.C., Rajiv, N. and Yusen X., 2015. The Role of Executive Problem Solving in Knowledge Accumulation and Manufacturing Improvements, 36, pp. 63–74. 2. Amal, S.D., and Gopinadhan, P.V., 2016. 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