A human centered hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment

FME Transactions

Alves Filipe¹  Pereira Ana I.¹  Leitão Paulo²  Rocha Ana Maria A.C.³  Varela Maria Leonilde Rocha³ 

[1] IPB, Research Centre in Digitalization and Intelligent Robotics (CeDRI), Bragança, Portugal + University of Minho, Algoritmi R&D Centre, Braga, Portugal;IPB, Research Centre in Digitalization and Intelligent Robotics (CeDRI), Bragança, Portugal;University of Minho, Department of Production and Systems Engineering, Guimarães, Portugal + University of Minho, Algoritmi Research Centre, Braga, Portugal;

关键词: human-centred;    industry 4.0;    multi-agent system;    metaheuristics;    scheduling;    optimization;   

DOI  :  

来源: DOAJ

【 摘 要 】

Manufacturing activities and production control are constantly growing. Despite this, it is necessary to improve the increasing variety of scheduling and layout adjustments for dynamic and flexible responses in volatile environments with disruptions or failures. Faced with the lack of realistic and practical manufacturing scenarios, this approach allows simulating and solving the problem of job shop scheduling on a production system by taking advantage of genetic algorithm and particle swarm optimization algorithm combined with the flexibility and robustness of a multi-agent system and dynamic rescheduling alternatives. Therefore, this hybrid decision support system intends to obtain optimized solutions and enable humans to interact with the system to properly adjust priorities or refine setups or solutions, in an interactive and user-friendly way. The system allows to evaluate the optimization performance of each one of the algorithms proposed, as well as to obtain decentralization in responsiveness and dynamic decisions for rescheduling due to the occurrence of unexpected events.

【 授权许可】

Unknown