A multi-objective approach for manufacturing systems with multiple production routes based on supervisory control theory and heuristic algorithms

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dc.creatorLucas Vinicius Ribeiro Alves
dc.creatorGustavo C. Rafael
dc.creatorLucas S. Batista
dc.creatorPatrícia N. Pena
dc.date.accessioned2025-05-28T14:49:33Z
dc.date.accessioned2025-09-09T00:32:25Z
dc.date.available2025-05-28T14:49:33Z
dc.date.issued2023
dc.identifier.doi10.1007/s10626-023-00379-7
dc.identifier.issn09246703
dc.identifier.urihttps://hdl.handle.net/1843/82557
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofDiscrete Event Dynamic Systems
dc.rightsAcesso Restrito
dc.subjectSistemas de tempo discreto
dc.subject.otherMulti-objective optimization
dc.subject.otherProduction Planning
dc.subject.otherDiscrete Event Systems
dc.subject.otherSupervisory Control Theory
dc.titleA multi-objective approach for manufacturing systems with multiple production routes based on supervisory control theory and heuristic algorithms
dc.typeArtigo de periódico
local.citation.epage394
local.citation.spage373
local.citation.volume33
local.description.resumoHeterogeneity among equipment in industrial production lines may have a major impact on energy consumption and makespan. The Supervisory Control Theory of discrete event systems proved to be especially useful to model the production system respecting its constraints and ensuring the safe execution on a real plant, such that an optimized production plan can be picked among the safe sequences. In this work, the makespan and the energy consumption minimization problem in discrete event systems with multiple production routes is addressed as a multi-objective problem. A multi-objective modeling is proposed, which considers the information regarding the power demanded by the system in each state of each equipment and the expected duration of each operation in the system. A dedicated Multi-Objective Variable Neighborhood Search (MOVNS) algorithm is also proposed to estimate an adequate set of trade-off solutions. A multi-criteria decision aid method is used to support the selection of an appropriate solution for the problem. The combination of the proposed modeling with both the MOVNS and a decision-making support has shown to be efficient regarding the solution of four test instances considered in this work.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICA
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://link.springer.com/article/10.1007/s10626-023-00379-7

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