Agent-Based Modelling and Heuristic Approach for Solving Complex OEM Flow-Shop Productions under Customer Disruptions


The application of the agent-based simulation approach in the flow-shop production environment has recently gained popularity among researchers. The concept of agent and agent functions can help to automate a variety of difficult tasks and assist decision-making in flow-shop production. This is especially so in the large-scale Original Equipment Manufacturing (OEM) industry, which is associated with many uncertainties. Among these are uncertainties in customer demand requirements that create disruptions that impact production planning and scheduling, hence, making it difficult to satisfy demand in due time, in the right order delivery sequence, and in the right item quantities. It is however important to devise means of adapting to these inevitable disruptive problems by accommodating them while minimising the impact on production performance and customer satisfaction. In this paper, an innovative embedded agent-based Production Disruption Inventory-Replenishment (PDIR) framework, which includes a novel adaptive heuristic algorithm and inventory replenishment strategy which is proposed to tackle the disruption problems. The capabilities and functionalities of agents are utilised to simulate the flow-shop production environment and aid learning and decision making. In practice, the proposed approach is implemented through a set of experiments conducted as a case study of an automobile parts facility for a real-life large-scale OEM. The results are presented in term of Key Performance Indicators (KPIs), such as the number of late/unsatisfied orders, to determine the effectiveness of the proposed approach. The results reveal a minimum number of late/unsatisfied orders, when compared with other approaches.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercialNoDerivatives 4.0 International
Uncontrolled Keywords: Agent-based modelling,Heuristic algorithm,Production disruption,OEM flow-shop
Publication ISSN: 1879-0550
Last Modified: 08 Dec 2023 12:21
Date Deposited: 15 Feb 2023 12:31
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Related URLs: https://www.sci ... 2669?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2019-07
Published Online Date: 2019-05-02
Accepted Date: 2019-04-30
Authors: Adediran, Tunde
Al-Bazi, Dr Ammar (ORCID Profile 0000-0002-5057-4171)
Santos, Luiz Eduardo dos



Version: Accepted Version

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