Adaptive Production Rescheduling System for Managing Unforeseen Disruptions

[EN] This work presents a mixed-integer linear programming (MILP) model to solve the production rescheduling problem in a job shop manufacturing system impacted by unexpected events, aiming to minimize production costs and disruptions to the initial schedule. The approach begins by generating an opt...

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Detalles Bibliográficos
Autores: Figueroa, Andy J., Poler, R.|||0000-0003-4475-6371, Andres, B.|||0000-0002-7920-7711
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/212771
Acceso en línea:https://riunet.upv.es/handle/10251/212771
Access Level:acceso abierto
Palabra clave:Production scheduling
MILP
Optimization
Unexpected events
Rescheduling
ORGANIZACION DE EMPRESAS
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repository_id_str
spelling Adaptive Production Rescheduling System for Managing Unforeseen DisruptionsFigueroa, Andy J.Poler, R.|||0000-0003-4475-6371Andres, B.|||0000-0002-7920-7711Production schedulingMILPOptimizationUnexpected eventsReschedulingORGANIZACION DE EMPRESAS[EN] This work presents a mixed-integer linear programming (MILP) model to solve the production rescheduling problem in a job shop manufacturing system impacted by unexpected events, aiming to minimize production costs and disruptions to the initial schedule. The approach begins by generating an optimal production plan through batch assignments to machines. When unforeseen events, such as machine breakdowns or raw material shortages, occur, a dynamic rescheduling process is triggered, employing an iterative and reactive algorithm to adapt the plan to the real-time conditions on the shop floor. The results demonstrate that this rescheduling method efficiently adjusts to the new conditions while minimizing deviations from the original schedule, achieving solutions within acceptable computational times.The research leading to these results received funding from the European Union Horizon Europe programme under grant agreements No. 101057294 "AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience" (AIDEAS) and No. 101058589 "AI Powered human-centred Robot Interactions for Smart Manufacturing" (AI-PRISM); from the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana under Ref. PROMETEO/2021/065 "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT); and from the Vice-Rectorate for Research of the Universitat Politecnica de Valencia under Ref. PAID-06-23 "Intelligent optimization algorithms and models for production planning and replenishment" (ATENNEA).MDPI AGDepartamento de Organización de EmpresasCentro de Investigación en Gestión e Ingeniería de ProducciónEscuela Politécnica Superior de AlcoyEuropean CommissionUniversitat Politècnica de ValènciaConselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat ValencianaRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-11-07journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/212771reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengEuropean Commission https://doi.org/10.13039/501100000780 HE 101057294 AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilienceEuropean Commission https://doi.org/10.13039/501100000780 HE 101058589 AI Powered human-centred Robot Interactions for Smart ManufacturingUniversitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-06-23Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana https://doi.org/10.13039/501100016386 PROMETEO%2F2021%2F065 "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT)open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2127712026-06-13T07:49:27Z
dc.title.none.fl_str_mv Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
title Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
spellingShingle Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
Figueroa, Andy J.
Production scheduling
MILP
Optimization
Unexpected events
Rescheduling
ORGANIZACION DE EMPRESAS
title_short Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
title_full Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
title_fullStr Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
title_full_unstemmed Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
title_sort Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
dc.creator.none.fl_str_mv Figueroa, Andy J.
Poler, R.|||0000-0003-4475-6371
Andres, B.|||0000-0002-7920-7711
author Figueroa, Andy J.
author_facet Figueroa, Andy J.
Poler, R.|||0000-0003-4475-6371
Andres, B.|||0000-0002-7920-7711
author_role author
author2 Poler, R.|||0000-0003-4475-6371
Andres, B.|||0000-0002-7920-7711
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Organización de Empresas
Centro de Investigación en Gestión e Ingeniería de Producción
Escuela Politécnica Superior de Alcoy
European Commission
Universitat Politècnica de València
Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Production scheduling
MILP
Optimization
Unexpected events
Rescheduling
ORGANIZACION DE EMPRESAS
topic Production scheduling
MILP
Optimization
Unexpected events
Rescheduling
ORGANIZACION DE EMPRESAS
description [EN] This work presents a mixed-integer linear programming (MILP) model to solve the production rescheduling problem in a job shop manufacturing system impacted by unexpected events, aiming to minimize production costs and disruptions to the initial schedule. The approach begins by generating an optimal production plan through batch assignments to machines. When unforeseen events, such as machine breakdowns or raw material shortages, occur, a dynamic rescheduling process is triggered, employing an iterative and reactive algorithm to adapt the plan to the real-time conditions on the shop floor. The results demonstrate that this rescheduling method efficiently adjusts to the new conditions while minimizing deviations from the original schedule, achieving solutions within acceptable computational times.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-11-07
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/212771
url https://riunet.upv.es/handle/10251/212771
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 HE 101057294 AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience
European Commission https://doi.org/10.13039/501100000780 HE 101058589 AI Powered human-centred Robot Interactions for Smart Manufacturing
Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-06-23
Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana https://doi.org/10.13039/501100016386 PROMETEO%2F2021%2F065 "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT)
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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