Agent-based distributed manufacturing scheduling: an ontological approach

Cogent Engineering

Ebrahim Amini Sharifi¹  Salman Saeidlou²  Mozafar Saadat²  Guiovanni D. Jules² 

[1] School of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Ira;School of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, U;

关键词: multi-agent systems;    knowledge –based systems;    ontology;    distributed systems;    metaheuristics;   

DOI  :  10.1080/23311916.2019.1565630

来源: Taylor & Francis

【 摘 要 】

The purpose of this paper is the need for self-sequencing operation plans in autonomous agents. These allow resolution of combinatorial optimisation of a global schedule, which consists of the fixed process plan jobs and which requires operations offered by manufacturers. The proposed agent-based approach was adapted from the bio-inspired metaheuristic- particle swarm optimisation (PSO), where agents move towards the schedule with the best global makespan. The research has achieved a novel ontology-based optimisation algorithm to allow agents to schedule operations whilst cutting down on the duration of the computational analysis, as well as improving the performance extensibility amongst others. The novelty of the research is evidenced in the development of a synchronised data sharing system allowing better decision-making resources with intrinsic manufacturing intelligence. The multi-agent platform is built upon the Java Agent Development Environment (JADE) framework. The operation research case studies were used as benchmarks for the evaluation of the proposed model. The presented approach not only showed a practical use case of a decentralised manufacturing system, but also demonstrated near optimal makespans compared to the operational research benchmarks.

【 授权许可】

CC BY