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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...
Citació
Bautista, J., Cano, A., Alfaro, R. A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions. "Progress in Artificial Intelligence", Març 2017, vol. 6, núm. 1, p. 27-39.
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