Minimize the makespan for job shop scheduling problem using artificial immune system approach

In the manufacturing industry, scheduling is a process of arranging, controlling and optimizing work and workloads in a production process. This research discussed about job-shop scheduling problem. The main problem in job-shop scheduling is to optimize the usage of machines in order to obtain the s...

Full description

Bibliographic Details
Main Authors: Muhamad, A. S., Deris, S., Zakaria, Z.
Format: Article
Published: Asian Research Publishing Network 2015
Subjects:
_version_ 1796860533246263296
author Muhamad, A. S.
Deris, S.
Zakaria, Z.
author_facet Muhamad, A. S.
Deris, S.
Zakaria, Z.
author_sort Muhamad, A. S.
collection ePrints
description In the manufacturing industry, scheduling is a process of arranging, controlling and optimizing work and workloads in a production process. This research discussed about job-shop scheduling problem. The main problem in job-shop scheduling is to optimize the usage of machines in order to obtain the shortest time in completing the activities. Several methods have been used to solve job-shop scheduling problems and the method proposed here is artificial intelligence by using the artificial immune system algorithm (AIS). The advantage of this algorithm is fabricated by imitating the natural immune system. The results produced by this method are compared with the best results of the previous research.
first_indexed 2024-03-05T19:42:47Z
format Article
id utm.eprints-58562
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:42:47Z
publishDate 2015
publisher Asian Research Publishing Network
record_format dspace
spelling utm.eprints-585622021-10-28T07:32:37Z http://eprints.utm.my/58562/ Minimize the makespan for job shop scheduling problem using artificial immune system approach Muhamad, A. S. Deris, S. Zakaria, Z. T58.5-58.64 Information technology In the manufacturing industry, scheduling is a process of arranging, controlling and optimizing work and workloads in a production process. This research discussed about job-shop scheduling problem. The main problem in job-shop scheduling is to optimize the usage of machines in order to obtain the shortest time in completing the activities. Several methods have been used to solve job-shop scheduling problems and the method proposed here is artificial intelligence by using the artificial immune system algorithm (AIS). The advantage of this algorithm is fabricated by imitating the natural immune system. The results produced by this method are compared with the best results of the previous research. Asian Research Publishing Network 2015 Article PeerReviewed Muhamad, A. S. and Deris, S. and Zakaria, Z. (2015) Minimize the makespan for job shop scheduling problem using artificial immune system approach. Journal Of Theoretical And Applied Information Technology, 80 (1). pp. 141-146. ISSN 1992-8645
spellingShingle T58.5-58.64 Information technology
Muhamad, A. S.
Deris, S.
Zakaria, Z.
Minimize the makespan for job shop scheduling problem using artificial immune system approach
title Minimize the makespan for job shop scheduling problem using artificial immune system approach
title_full Minimize the makespan for job shop scheduling problem using artificial immune system approach
title_fullStr Minimize the makespan for job shop scheduling problem using artificial immune system approach
title_full_unstemmed Minimize the makespan for job shop scheduling problem using artificial immune system approach
title_short Minimize the makespan for job shop scheduling problem using artificial immune system approach
title_sort minimize the makespan for job shop scheduling problem using artificial immune system approach
topic T58.5-58.64 Information technology
work_keys_str_mv AT muhamadas minimizethemakespanforjobshopschedulingproblemusingartificialimmunesystemapproach
AT deriss minimizethemakespanforjobshopschedulingproblemusingartificialimmunesystemapproach
AT zakariaz minimizethemakespanforjobshopschedulingproblemusingartificialimmunesystemapproach