Tesis Validadas: 2,591

Tesis de Posgrado: 2650

Número de Visitas: contador visitas

Please use this identifier to cite or link to this item: https://rinacional.tecnm.mx/jspui/handle/TecNM/3003
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLizardi Duran, Arsenio De Jesus.-
dc.creatorLizardi Duran, Arsenio De Jesus%1007962-
dc.date.accessioned2022-02-23T16:22:24Z-
dc.date.available2022-02-23T16:22:24Z-
dc.date.issued2021-12-01-
dc.identifier.urihttps://rinacional.tecnm.mx/jspui/handle/TecNM/3003-
dc.descriptionThe Job Shop Scheduling Problem (JSSP) is an NP-hard problem where the application of exact methods has limitations. Numerous methods based on metaheuristics have been developed to solve the JSSP problem, but there are few works dedicated to solving the Dynamic Job Shop Scheduling Problem (DJSSP), which models the unexpected events that occur in real-world manufacturing systems. In this thesis, we address DJSSP with three types of dynamic events: machine breakdowns, new job arrivals, and changes in the processing time; with a hybrid algorithm based on simulated annealing and a local search strategy. This algorithm is evaluated using a set of benchmark instances and experimentation is performed to compare the performance of the developed algorithm with those reported in the literature. The numerical results obtained indicate that the proposed method produces better solutions for the benchmark instances, compared with the methods reported on the literaturees_MX
dc.language.isospaes_MX
dc.publisherTecnológico Nacional de Méxicoes_MX
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.subjectinfo:eu-repo/classification/cti/7es_MX
dc.titleALGORITMO HÍBRIDO PARA EL PROBLEMA DINÁMICO DE CALENDARIZACIÓN DE TAREAS (DYNAMIC JOB SHOP SCHEDULING PROBLEM)es_MX
dc.typeinfo:eu-repo/semantics/masterThesises_MX
dc.contributor.directorCastilla Valdez, Guadalupe%281385-
dc.rights.accessinfo:eu-repo/semantics/openAccesses_MX
dc.publisher.tecnmInstituto Tecnológico de Ciudad Maderoes_MX
Appears in Collections:Maestría en Ciencias de la Computación

Files in This Item:
File Description SizeFormat 
G13071650_donacion_tesis_bib.pdf914.63 kBAdobe PDFView/Open
G13071650_donacion_tesis_licencia.pdf
  Until 2050-01-01
127.09 kBAdobe PDFView/Open Request a copy


This item is protected by original copyright



This item is licensed under a Creative Commons License Creative Commons