Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility

In the present economy, manufacturing plants must have the able to work effectively and react rapidly to changes in the product mix and demand. Layout design significantly affects manufacturing effectiveness. At first, it was treated as a static decision yet because of progress in advances, it is co...

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Main Author: Tugiman, Muhammad Najib
Format: Thesis
Language:English
English
Published: 2020
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/25417/1/Optimization%20Of%20Dynamic%20Transportation%20Task%20Assignment%20In%20A%20Manufacturing%20Facility.pdf
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spelling my.utem.eprints.254172021-12-07T15:39:22Z http://eprints.utem.edu.my/id/eprint/25417/ Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility Tugiman, Muhammad Najib T Technology (General) TS Manufactures In the present economy, manufacturing plants must have the able to work effectively and react rapidly to changes in the product mix and demand. Layout design significantly affects manufacturing effectiveness. At first, it was treated as a static decision yet because of progress in advances, it is conceivable to rearrange the manufacturing facilities in various situations. An extensive survey of the research work for dynamic layout planning has been embraced in this paper with an investigation of various algorithms to optimize it. Hybrid algorithm can likewise be utilized to improve the plant layout. An attempt has additionally been done to sort the writing with conceivable future research areas. This paper aims to manage the current and future patterns of research on facility layout issues dependent on past research including formulations, arrangement procedures, and the scope for utilization of hybrid algorithms. The utilization of new optimization procedures gives a point of view of future research in Dynamic facility layout issues and hybrid algorithms. A pattern toward multi-objectives approaches, developing facility layout software utilizing meta-heuristics, for example, simulated annealing (SA), genetic algorithm (GA), Anylogic Software and concurrent engineering to facility layout is observed. This paper is sorted out as follows; Chapter 2 gives a concise review of literature, on the Optimization of Dynamic Transportation Task. Segment 3, gives the procedure to this whole project 2020 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/25417/1/Optimization%20Of%20Dynamic%20Transportation%20Task%20Assignment%20In%20A%20Manufacturing%20Facility.pdf text en http://eprints.utem.edu.my/id/eprint/25417/2/Optimization%20Of%20Dynamic%20Transportation%20Task%20Assignment%20In%20A%20Manufacturing%20Facility.pdf Tugiman, Muhammad Najib (2020) Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119588
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
English
topic T Technology (General)
TS Manufactures
spellingShingle T Technology (General)
TS Manufactures
Tugiman, Muhammad Najib
Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
description In the present economy, manufacturing plants must have the able to work effectively and react rapidly to changes in the product mix and demand. Layout design significantly affects manufacturing effectiveness. At first, it was treated as a static decision yet because of progress in advances, it is conceivable to rearrange the manufacturing facilities in various situations. An extensive survey of the research work for dynamic layout planning has been embraced in this paper with an investigation of various algorithms to optimize it. Hybrid algorithm can likewise be utilized to improve the plant layout. An attempt has additionally been done to sort the writing with conceivable future research areas. This paper aims to manage the current and future patterns of research on facility layout issues dependent on past research including formulations, arrangement procedures, and the scope for utilization of hybrid algorithms. The utilization of new optimization procedures gives a point of view of future research in Dynamic facility layout issues and hybrid algorithms. A pattern toward multi-objectives approaches, developing facility layout software utilizing meta-heuristics, for example, simulated annealing (SA), genetic algorithm (GA), Anylogic Software and concurrent engineering to facility layout is observed. This paper is sorted out as follows; Chapter 2 gives a concise review of literature, on the Optimization of Dynamic Transportation Task. Segment 3, gives the procedure to this whole project
format Thesis
author Tugiman, Muhammad Najib
author_facet Tugiman, Muhammad Najib
author_sort Tugiman, Muhammad Najib
title Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
title_short Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
title_full Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
title_fullStr Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
title_full_unstemmed Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
title_sort optimization of dynamic transportation task assignment in a manufacturing facility
publishDate 2020
url http://eprints.utem.edu.my/id/eprint/25417/1/Optimization%20Of%20Dynamic%20Transportation%20Task%20Assignment%20In%20A%20Manufacturing%20Facility.pdf
http://eprints.utem.edu.my/id/eprint/25417/2/Optimization%20Of%20Dynamic%20Transportation%20Task%20Assignment%20In%20A%20Manufacturing%20Facility.pdf
http://eprints.utem.edu.my/id/eprint/25417/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119588
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score 13.149126