Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/27940
Título
Robust integrated production-maintenance scheduling for an evaporation network
Autor
Año del Documento
2018
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
Computers & Chemical Engineering, February 2018, Vol. 110, P. 140-151.
Resumo
This work aims to reduce the global resource consumption in an industrial evaporation network by better tasks management and coordination. The network works in continuous, processing some products in several evaporation plants, so optimal load allocation and product-plant assignment problems appear. The plants have different features (capacity, equipment, etc.) and their performance is affected by fouling inside the heat exchangers and external factors. Hereby, the optimizer has to decide when maintenance operations have to be triggered. Therefore, a mixed production/maintenance scheduling problem arises. The plant behavior is approximated by surrogate linear models obtained experimentally, allowing thus the use of mixed-integer linear optimization routines to obtain solutions in acceptable time. Furthermore, uncertainty in the weather forecast and in the production plan is also considered via a two-stage stochastic programming approach. Finally, a trade-off analysis between other objectives of interest is given to support the decision maker.
Palabras Clave
Production scheduling
Stochastic optimization
Integration
Fouling
Maintenance prediction
Similarity index
ISSN
0098-1354
Revisión por pares
SI
Patrocinador
Spanish Government with project INOPTCON (MINECO/FEDER DPI2015-70975-P).
Patrocinador
info:eu-repo/grantAgreement/EC/H2020/723575
Version del Editor
Propietario de los Derechos
Elsevier
Idioma
eng
Derechos
openAccess
Aparece en las colecciones
Arquivos deste item
![Attribution-NonCommercial-ShareAlike 4.0 International](/themes/Mirage2//images/creativecommons/cc-by-nc-sa.png)