Using an abstraction of the supervisor to solve a planning problem in manufacturing systems

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dc.creatorGustavo Caetano Rafael
dc.creatorPatrícia Nascimento Pena
dc.date.accessioned2025-04-14T15:02:32Z
dc.date.accessioned2025-09-09T00:16:41Z
dc.date.available2025-04-14T15:02:32Z
dc.date.issued2018
dc.identifier.doihttps://doi.org/10.20906/CBA2022/542
dc.identifier.urihttps://hdl.handle.net/1843/81538
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofXXII Congresso Brasileiro de Automática
dc.rightsAcesso Restrito
dc.subjectTeoria do controle
dc.subjectSistemas de tempo discreto
dc.subject.otherDiscrete event systems, Supervisory control theory, Optimization, Evolutionary algorihms, Production planning
dc.titleUsing an abstraction of the supervisor to solve a planning problem in manufacturing systems
dc.typeArtigo de evento
local.description.resumoThis paper deals with a production-planning problem in the industrial environment from the perspective of Discrete Event Systems. The use of the solution obtained by applying the Supervisory Control Theory (SCT) as a search space for the optimization problem, using evolutionary algorithms, has been described in the literature as the SCO - Supervisory Control and Optimization approach. In the SCO, a string of the closed-loop behavior that minimizes the makespan for the production of a batch of products is sought. In the present work, a heuristic that guarantees the generation of feasible individuals is proposed, aside with the use of an abstraction of the closed-loop behavior as the search universe for the optimization. Lastly, a case study is presented, for which the optimal solution in all instances in which it is known was found.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sba.org.br/open_journal_systems/index.php/cba/article/view/542

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