A study of parallel machine scheduling in an electronic industry using heuristics approach

In electronic industries, there are inconsistency in completing the orders or jobs in the production line within the period given. In this study, the winding process of an electronics industry in being investigated to search and propose the best scheduling approach of the process in dealing the prob...

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Main Authors: Muhammad K. A., Saienudin, M. F. F., Ab Rashid
Format: Conference or Workshop Item
Language:en
en
Published: AIP Publishing 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/30962/1/6.%20A%20study%20of%20parallel%20machine%20scheduling%20in%20an%20electronic%20industry%20using%20heuristics%20approach.pdf
http://umpir.ump.edu.my/id/eprint/30962/2/6.1%20A%20study%20of%20parallel%20machine%20scheduling%20in%20an%20electronic%20industry%20using%20heuristics%20approach.pdf
http://umpir.ump.edu.my/id/eprint/30962/
https://doi.org/10.1063/5.0072982
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author Muhammad K. A., Saienudin
M. F. F., Ab Rashid
author_facet Muhammad K. A., Saienudin
M. F. F., Ab Rashid
author_sort Muhammad K. A., Saienudin
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
description In electronic industries, there are inconsistency in completing the orders or jobs in the production line within the period given. In this study, the winding process of an electronics industry in being investigated to search and propose the best scheduling approach of the process in dealing the problem occurred on the production line. Scheduling process is done by using heuristic approaches where four different scheduling rules are applied. These rules are First Come First Serve (FCFS), Earliest Due Date (EDD), Longest Processing Time (LPT) and Shortest Processing Time (SPT). The analysis is done by using two methods; single product processing and double product processing using predetermined weightage. The key performance indicator is by observing the maximum makespan of the winding process, Cmax from the respective scheduling. Based on the results, LPT is the most promising rule among the scheduling rules that are considered in this project. LPT rule able to minimize the Cmax by selecting of the highest executive time from the order. LPT manage to utilize the machines in the production on high level and thus increasing the efficiency of the production.
format Conference or Workshop Item
id my.ump.umpir.30962
institution Universiti Malaysia Pahang
language en
en
publishDate 2021
publisher AIP Publishing
record_format eprints
spelling my.ump.umpir.309622021-11-16T04:38:28Z http://umpir.ump.edu.my/id/eprint/30962/ A study of parallel machine scheduling in an electronic industry using heuristics approach Muhammad K. A., Saienudin M. F. F., Ab Rashid TJ Mechanical engineering and machinery In electronic industries, there are inconsistency in completing the orders or jobs in the production line within the period given. In this study, the winding process of an electronics industry in being investigated to search and propose the best scheduling approach of the process in dealing the problem occurred on the production line. Scheduling process is done by using heuristic approaches where four different scheduling rules are applied. These rules are First Come First Serve (FCFS), Earliest Due Date (EDD), Longest Processing Time (LPT) and Shortest Processing Time (SPT). The analysis is done by using two methods; single product processing and double product processing using predetermined weightage. The key performance indicator is by observing the maximum makespan of the winding process, Cmax from the respective scheduling. Based on the results, LPT is the most promising rule among the scheduling rules that are considered in this project. LPT rule able to minimize the Cmax by selecting of the highest executive time from the order. LPT manage to utilize the machines in the production on high level and thus increasing the efficiency of the production. AIP Publishing 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30962/1/6.%20A%20study%20of%20parallel%20machine%20scheduling%20in%20an%20electronic%20industry%20using%20heuristics%20approach.pdf pdf en http://umpir.ump.edu.my/id/eprint/30962/2/6.1%20A%20study%20of%20parallel%20machine%20scheduling%20in%20an%20electronic%20industry%20using%20heuristics%20approach.pdf Muhammad K. A., Saienudin and M. F. F., Ab Rashid (2021) A study of parallel machine scheduling in an electronic industry using heuristics approach. In: The 2nd International Conference on Technology, Engineering and Sciences (ICTES 2021) , 3 - 4 April 2021 , Langkawi, Kedah & Online Conference. pp. 1-5., 2401 (1). (Published) https://doi.org/10.1063/5.0072982
spellingShingle TJ Mechanical engineering and machinery
Muhammad K. A., Saienudin
M. F. F., Ab Rashid
A study of parallel machine scheduling in an electronic industry using heuristics approach
title A study of parallel machine scheduling in an electronic industry using heuristics approach
title_full A study of parallel machine scheduling in an electronic industry using heuristics approach
title_fullStr A study of parallel machine scheduling in an electronic industry using heuristics approach
title_full_unstemmed A study of parallel machine scheduling in an electronic industry using heuristics approach
title_short A study of parallel machine scheduling in an electronic industry using heuristics approach
title_sort study of parallel machine scheduling in an electronic industry using heuristics approach
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/30962/1/6.%20A%20study%20of%20parallel%20machine%20scheduling%20in%20an%20electronic%20industry%20using%20heuristics%20approach.pdf
http://umpir.ump.edu.my/id/eprint/30962/2/6.1%20A%20study%20of%20parallel%20machine%20scheduling%20in%20an%20electronic%20industry%20using%20heuristics%20approach.pdf
http://umpir.ump.edu.my/id/eprint/30962/
https://doi.org/10.1063/5.0072982
url_provider http://umpir.ump.edu.my/