Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/62902

TitleA human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
Author(s)Alves, Filipe
Varela, M.L.R.
Rocha, Ana Maria A. C.
Pereira, Ana I.
Leitão, Paulo
KeywordsHuman-centred
Industry 4.0
Metaheuristics
Multi-agent system
Optimization
Scheduling
Issue date1-Jan-2019
PublisherUniversity of Belgrade. Faculty of Mechanical Engineering
JournalFME Transactions
Abstract(s)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 occurance of unexpected events.
TypeArticle
URIhttp://hdl.handle.net/1822/62902
DOI10.5937/fmet1904699A
ISSN1451-2092
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals


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