Makespan minimization in a job shop with a BPM using simulated annealing

A scheduling problem commonly observed in the metal working industry has been studied in this research effort -- A job shop equipped with one batch processing machine (BPM) and several unit-capacity machines has been considered. Given a set of jobs, their process routes,processing requirements, and...

Full description

Autores:
Rojas Santiago, Miguel
Vélez Gallego, Mario César
Damodaran, Purushothaman
Muthuswamy, Shanthi
Rojas Santiago, Miguel
Vélez Gallego, Mario César
Damodaran, Purushothaman
Muthuswamy, Shanthi
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/5038
Acceso en línea:
http://hdl.handle.net/10784/5038
Palabra clave:
Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
Rights
closedAccess
License
Acceso cerrado
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spelling 2015-02-27T20:18:51Z2015-02-27T20:18:51Z2013-03-082013-03-082015-02-27T20:18:51Z2015-02-27T20:18:51ZMiguel Rojas-Santiago, Purushothaman Damodaran, Shanthi Muthuswamy, Mario C. Vélez-Gallego. Makespan minimization in a job shop with a BPM using simulated annealing. The International Journal of Advanced Manufacturing Technology, (In Press).DOI: 10.1007/s00170-013-4858-4. ISSN: 0268-3768.0268-37681433-30150268-37681433-3015http://hdl.handle.net/10784/503810.1007/s00170-013-4858-4A scheduling problem commonly observed in the metal working industry has been studied in this research effort -- A job shop equipped with one batch processing machine (BPM) and several unit-capacity machines has been considered. Given a set of jobs, their process routes,processing requirements, and size, the objective is to schedule the jobs such that the makespan is minimized -- The BPM can process a batch of jobs as long as its capacity is not exceeded -- The batch processing time is equal to the longest processing job in the batch -- If no batches were to be formed, the scheduling problem under study reduces to the classicaljob shop problem with makespan objective, which is known to be nondeterministic polynomial time-hard -- A network representation of the problem using disjunctive and conjunctive arcs, and a simulated annealing (SA) algorithm are proposed to solve the problem. The solution quality and run time of SA are compared with CPLEX, a commercial solver used to solve the mathematical formulation and with four dispatching rules -- Experimental study clearly highlights the advantages, in terms of solution quality and run time, of using SA to solve large-scale problemsengengSpringer LondonSpringer LondonThe International Journal of Advanced Manufacturing Technology, 68, 9-12, 2383-2391p.http://doi.org/10.1007/s00170-013-4858-4info:eu-repo/semantics/closedAccessAcceso cerradohttp://purl.org/coar/access_right/c_14cbMetal tradeGenetic algorithmsHeuristic programmingSimulation methodsCombinatorial optimizationINDUSTRIA METALÚRGICAALGORITMOS GENÉTICOSPROGRAMACIÓN HEURÍSTICAMÉTODOS DE SIMULACIÓNOPTIMIZACIÓN COMBINATORIAINDUSTRIA METALÚRGICAALGORITMOS GENÉTICOSPROGRAMACIÓN HEURÍSTICAMÉTODOS DE SIMULACIÓNOPTIMIZACIÓN COMBINATORIAMetal tradeGenetic algorithmsHeuristic programmingSimulation methodsCombinatorial optimizationMakespan minimization in a job shop with a BPM using simulated annealinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/articlearticleinfo:eu-repo/semantics/publishedVersionpublishedVersionArtículopublishedVersionObra publicadahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Universidad EAFIT. Departamento de Ingeniería de Producciónmarvelez@eafit.edu.coRojas Santiago, MiguelVélez Gallego, Mario CésarDamodaran, PurushothamanMuthuswamy, ShanthiRojas Santiago, MiguelVélez Gallego, Mario CésarDamodaran, PurushothamanMuthuswamy, ShanthiGestión de Producción y LogísticaThe International Journal of Advanced Manufacturing TechnologyORIGINALMakespan minimization in a job shop with a BPM using simulated annealing.pdfMakespan minimization in a job shop with a BPM using simulated annealing.pdfapplication/pdf625425https://repository.eafit.edu.co/bitstreams/ba832891-786a-4c1d-b9e8-33ed8cf33413/download1406d35cd12fac7ff5a657b6051ed292MD51s00170-013-4858-4.pdfs00170-013-4858-4.pdfapplication/pdf625425https://repository.eafit.edu.co/bitstreams/74ccd264-d55d-4254-8f1b-25a564518bdf/download1406d35cd12fac7ff5a657b6051ed292MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/c86672a6-7494-4386-894e-3d0908d03b8d/download76025f86b095439b7ac65b367055d40cMD5210784/5038oai:repository.eafit.edu.co:10784/50382022-11-01 07:56:53.533restrictedhttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Makespan minimization in a job shop with a BPM using simulated annealing
title Makespan minimization in a job shop with a BPM using simulated annealing
spellingShingle Makespan minimization in a job shop with a BPM using simulated annealing
Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
title_short Makespan minimization in a job shop with a BPM using simulated annealing
title_full Makespan minimization in a job shop with a BPM using simulated annealing
title_fullStr Makespan minimization in a job shop with a BPM using simulated annealing
title_full_unstemmed Makespan minimization in a job shop with a BPM using simulated annealing
title_sort Makespan minimization in a job shop with a BPM using simulated annealing
dc.creator.fl_str_mv Rojas Santiago, Miguel
Vélez Gallego, Mario César
Damodaran, Purushothaman
Muthuswamy, Shanthi
Rojas Santiago, Miguel
Vélez Gallego, Mario César
Damodaran, Purushothaman
Muthuswamy, Shanthi
dc.contributor.department.none.fl_str_mv Universidad EAFIT. Departamento de Ingeniería de Producción
dc.contributor.eafitauthor.spa.fl_str_mv marvelez@eafit.edu.co
dc.contributor.author.none.fl_str_mv Rojas Santiago, Miguel
Vélez Gallego, Mario César
Damodaran, Purushothaman
Muthuswamy, Shanthi
Rojas Santiago, Miguel
Vélez Gallego, Mario César
Damodaran, Purushothaman
Muthuswamy, Shanthi
dc.contributor.researchgroup.spa.fl_str_mv Gestión de Producción y Logística
dc.subject.eng.fl_str_mv Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
topic Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
dc.subject.spa.fl_str_mv INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
dc.subject.lemb.spa.fl_str_mv INDUSTRIA METALÚRGICA
ALGORITMOS GENÉTICOS
PROGRAMACIÓN HEURÍSTICA
MÉTODOS DE SIMULACIÓN
OPTIMIZACIÓN COMBINATORIA
dc.subject.keyword.eng.fl_str_mv Metal trade
Genetic algorithms
Heuristic programming
Simulation methods
Combinatorial optimization
description A scheduling problem commonly observed in the metal working industry has been studied in this research effort -- A job shop equipped with one batch processing machine (BPM) and several unit-capacity machines has been considered. Given a set of jobs, their process routes,processing requirements, and size, the objective is to schedule the jobs such that the makespan is minimized -- The BPM can process a batch of jobs as long as its capacity is not exceeded -- The batch processing time is equal to the longest processing job in the batch -- If no batches were to be formed, the scheduling problem under study reduces to the classicaljob shop problem with makespan objective, which is known to be nondeterministic polynomial time-hard -- A network representation of the problem using disjunctive and conjunctive arcs, and a simulated annealing (SA) algorithm are proposed to solve the problem. The solution quality and run time of SA are compared with CPLEX, a commercial solver used to solve the mathematical formulation and with four dispatching rules -- Experimental study clearly highlights the advantages, in terms of solution quality and run time, of using SA to solve large-scale problems
publishDate 2013
dc.date.issued.none.fl_str_mv 2013-03-08
2013-03-08
dc.date.available.none.fl_str_mv 2015-02-27T20:18:51Z
2015-02-27T20:18:51Z
dc.date.accessioned.none.fl_str_mv 2015-02-27T20:18:51Z
2015-02-27T20:18:51Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
article
info:eu-repo/semantics/publishedVersion
publishedVersion
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
dc.type.hasVersion.eng.fl_str_mv publishedVersion
dc.type.hasVersion.spa.fl_str_mv Obra publicada
status_str publishedVersion
dc.identifier.citation.spa.fl_str_mv Miguel Rojas-Santiago, Purushothaman Damodaran, Shanthi Muthuswamy, Mario C. Vélez-Gallego. Makespan minimization in a job shop with a BPM using simulated annealing. The International Journal of Advanced Manufacturing Technology, (In Press).DOI: 10.1007/s00170-013-4858-4. ISSN: 0268-3768.
dc.identifier.issn.spa.fl_str_mv 0268-3768
1433-3015
dc.identifier.issn.none.fl_str_mv 0268-3768
1433-3015
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/5038
dc.identifier.doi.none.fl_str_mv 10.1007/s00170-013-4858-4
identifier_str_mv Miguel Rojas-Santiago, Purushothaman Damodaran, Shanthi Muthuswamy, Mario C. Vélez-Gallego. Makespan minimization in a job shop with a BPM using simulated annealing. The International Journal of Advanced Manufacturing Technology, (In Press).DOI: 10.1007/s00170-013-4858-4. ISSN: 0268-3768.
0268-3768
1433-3015
10.1007/s00170-013-4858-4
url http://hdl.handle.net/10784/5038
dc.language.iso.eng.fl_str_mv eng
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv The International Journal of Advanced Manufacturing Technology, 68, 9-12, 2383-2391p.
dc.relation.uri.none.fl_str_mv http://doi.org/10.1007/s00170-013-4858-4
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_14cb
dc.rights.accessrights.eng.fl_str_mv info:eu-repo/semantics/closedAccess
dc.rights.local.spa.fl_str_mv Acceso cerrado
eu_rights_str_mv closedAccess
rights_invalid_str_mv Acceso cerrado
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dc.publisher.spa.fl_str_mv Springer London
dc.publisher.none.fl_str_mv Springer London
publisher.none.fl_str_mv Springer London
institution Universidad EAFIT
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