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Addressing the scheduling of chemical supply chains under demand uncertainty

Autor
Guillen-Gosalbez, G.; Espuña, A.; Puigjaner, L.
Tipus d'activitat
Article en revista
Revista
AICHE journal
Data de publicació
2006
Volum
52
Número
11
Pàgina inicial
3864
Pàgina final
3881
DOI
https://doi.org/10.1002/aic.10973 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/79301 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/aic.10973/abstract Obrir en finestra nova
Resum
A multistage stochastic optimization model is presented to address the scheduling of supply chains with embedded multipurpose batch chemical plants under demand uncertainty. In order to overcome the numerical difficulties associated with the resulting large-scale stochastic mixed-integer-linear-programming (MILP) problem, an approximation strategy comprising two steps, and based on the resolution of a set of deterministic and two-stage stochastic models is presented. The performance of the propo...
Citació
Guillen-Gosalbez, G., Espuña, A., Puigjaner, L. Addressing the scheduling of chemical supply chains under demand uncertainty. "AICHE journal", 2006, vol. 52, núm. 11, p. 3864-3881.
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants