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A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions

Autor
Bautista, J.; Cano, A.; Alfaro, R.
Tipus d'activitat
Article en revista
Revista
Progress in Artificial Intelligence
Data de publicació
2017-03
Volum
6
Número
1
Pàgina inicial
27
Pàgina final
39
DOI
https://doi.org/10.1007/s13748-016-0101-5 Obrir en finestra nova
Projecte finançador
Factor Humano e Incertidumbre sobre la Secuenciación y el Equilibrado en Líneas de Modelos Mixtos
Repositori
http://hdl.handle.net/2117/102582 Obrir en finestra nova
URL
http://link.springer.com/article/10.1007/s13748-016-0101-5 Obrir en finestra nova
Resum
In this article, we propose a hybrid procedure based on bounded dynamic programming assisted by linear programming to solve the mixed-model sequencing problem with workload minimization with serial workstations, free interruption of the operations and with production mix restrictions. We performed a computational experiment with 23 instances related to a case study of the Nissan powertrain plant located in Barcelona. The results of our proposal are compared with those obtained by mixed integer l...
Paraules clau
Mixed-model Sequencing, Dynamic Programming, Mixed Integer Linear Programming, Hybrid Metaheuristics, Industrial Application
Grup de recerca
OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció)

Participants