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
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Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | agent-based simulation, customer production disruptions, flow-shops, heuritic optimisation algorithm, manufacturing systems |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | School of Computing |
Depositing User: | Mrs Nurin Jazlina Hamid |
Date Deposited: | 09 Feb 2023 02:55 |
Last Modified: | 09 Feb 2023 02:55 |
URI: | https://repo.uum.edu.my/id/eprint/29158 |
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