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Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions

The study of complex manufacturing flow-shops has seen a number of approaches and frameworks proposed to tackle various production-associated problems. However, unpredictable disruptions, such as change in sequence of order, order cancellation and change in production delivery due time, imposed by c...

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Main Authors: Adediran, Tunde Victor, Al-Bazi, Ammar
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2018
Subjects:
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Online Access:https://repo.uum.edu.my/id/eprint/29158/1/JICT%2017%2002%202018%20291-322..pdf
https://repo.uum.edu.my/id/eprint/29158/
https://doi.org/10.32890/jict2018.17.2.8255
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spelling my.uum.repo.291582023-02-09T02:55:51Z https://repo.uum.edu.my/id/eprint/29158/ Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions Adediran, Tunde Victor Al-Bazi, Ammar QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering The study of complex manufacturing flow-shops has seen a number of approaches and frameworks proposed to tackle various production-associated problems. However, unpredictable disruptions, such as change in sequence of order, order cancellation and change in production delivery due time, imposed by customers on flow-shops that impact production processes and inventory control call for a more adaptive approach capable of responding to these changes. In this research work, a new adaptive framework and agent-based heuristic optimization system was developed to investigate the disruption consequences and recovery strategy. A case study using an Original Equipment Manufacturer (OEM) production process of automotive parts and components was adopted to justify the proposed system. The results of the experiment revealed significant improvement in terms of total number of late orders, order delivery time, number of setups and resources utilization, which provide useful information for manufacturers decision-making policies. Universiti Utara Malaysia Press 2018 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/29158/1/JICT%2017%2002%202018%20291-322..pdf Adediran, Tunde Victor and Al-Bazi, Ammar (2018) Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions. Journal of Information and Communication Technology, 17 (2). pp. 291-322. ISSN 2180-3862 https://doi.org/10.32890/jict2018.17.2.8255
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Adediran, Tunde Victor
Al-Bazi, Ammar
Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions
description The study of complex manufacturing flow-shops has seen a number of approaches and frameworks proposed to tackle various production-associated problems. However, unpredictable disruptions, such as change in sequence of order, order cancellation and change in production delivery due time, imposed by customers on flow-shops that impact production processes and inventory control call for a more adaptive approach capable of responding to these changes. In this research work, a new adaptive framework and agent-based heuristic optimization system was developed to investigate the disruption consequences and recovery strategy. A case study using an Original Equipment Manufacturer (OEM) production process of automotive parts and components was adopted to justify the proposed system. The results of the experiment revealed significant improvement in terms of total number of late orders, order delivery time, number of setups and resources utilization, which provide useful information for manufacturers decision-making policies.
format Article
author Adediran, Tunde Victor
Al-Bazi, Ammar
author_facet Adediran, Tunde Victor
Al-Bazi, Ammar
author_sort Adediran, Tunde Victor
title Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions
title_short Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions
title_full Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions
title_fullStr Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions
title_full_unstemmed Developing Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions
title_sort developing agent based heuristic optimisation system for complex flow shops with customer-imposed production disruptions
publisher Universiti Utara Malaysia Press
publishDate 2018
url https://repo.uum.edu.my/id/eprint/29158/1/JICT%2017%2002%202018%20291-322..pdf
https://repo.uum.edu.my/id/eprint/29158/
https://doi.org/10.32890/jict2018.17.2.8255
_version_ 1758580955653603328
score 13.211869

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