2024-03-29T13:25:42Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/294882021-06-23T11:21:37Zcom_10324_1168com_10324_931com_10324_894col_10324_1304
Pitarch Pérez, José Luis
Kalliski, Marc
Gómez Palacín, Carlos
Jasch, Christian
Prada Moraga, César de
2017
Producción Científica
This work presents a decision-support tool to address the model-based optimization approach for online load allocation and scheduling of cleaning operations in an evaporation network. The aim is improving the resource efficiency by supplying the optimal solution for a given production goal. The approach includes the semi-automatic update of evaporator models, which is based on historical data for minimal modelling effort. The structure of the problem is formulated via mixed-integer programming and integrated into the plant supervision systems. Production
constraints, concerns about the practical implementation and visualization preferences are also taken into account in the design of the prototypical tool.
application/pdf
http://uvadoc.uva.es/handle/10324/29488
eng
Universidad de Oviedo
Online decision support for an evaporation network
info:eu-repo/semantics/conferenceObject
7 p.
TEXT
UVaDOC. Repositorio Documental de la Universidad de Valladolid
Hispana