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Supply chain planning and scheduling integration using Lagrangian decomposition in a knowledge management environment

Autor
Muñoz , E.; Capon-Garcia, E.; Lainez, J.M.; Espuña, A.; Puigjaner, L.
Tipus d'activitat
Article en revista
Revista
Computers & chemical engineering
Data de publicació
2014-06
Volum
72
Pàgina inicial
52
Pàgina final
67
DOI
https://doi.org/10.1016/j.compchemeng.2014.06.002 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/27420 Obrir en finestra nova
URL
http://dx.doi.org/10.1016/j.compchemeng.2014.06.002 Obrir en finestra nova
Resum
The integration of planning and scheduling decisions in rigorous mathematical models usually results in large scale problems. In order to tackle the problem complexity, decomposition techniques based on duality and information flows between a master and a set of subproblems are widely applied. In this sense, ontologies improve information sharing and communication in enterprises and can even represent holistic mathematical models facilitating the use of analytic tools and providing higher flexib...
Citació
Muñoz , E. [et al.]. Supply chain planning and scheduling integration using Lagrangian decomposition in a knowledge management environment. "Computers & chemical engineering", Juny 2014, vol. 72, p. 52-67.
Paraules clau
Decision-levels integration, Lagrangian decomposition, Ontology, Process scheduling, Supply chain planning
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants