Adediran, Tunde Victor and Al-Bazi, Ammar (2018) Developing agent based heuristic optimisation system for complex flow shops with customer-imposed production distruptions. Journal of Information and Communication Technology (JICT), 18 (2). pp. 291-322. ISSN 1675-414X

PDF Restricted to Registered users only Download (921kB) | Request a copy

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 manufacturer’s decision-making policies.

Item Type:	Article
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
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	29 Apr 2018 01:41
Last Modified:	29 Apr 2018 01:41
URI:	https://repo.uum.edu.my/id/eprint/24027

Actions (login required)

View Item