Producción CyT
Capítulo de Libro
Autoría
MENDEZ, CARLOS ALBERTO
;
Grossmann, Ignacio E.
;
Harjunkoski, Iiro
;
Fahl, Marco
Fecha
2008
Editorial y Lugar de Edición
Wiley-VCH
Libro
Logistic Optimization of Chemical Production Processes
(pp. 163-184)
Wiley-VCH
Wiley-VCH
ISBN
978-3-527-30830-9
Resumen
Información suministrada por el agente en
SIGEVA
As there has been a large number of promising developments to the short-term scheduling of batch plants in the last 20 years, the main goal of this work is to provide a general classification of batch scheduling problems and an up-to-date review of the state-of-the-art of this important area. Main features, strengths and limitations of the existing mixed integer linear programming (MILP) optimization techniques will be examined through this paper. We first present a general road-map for schedul...
As there has been a large number of promising developments to the short-term scheduling of batch plants in the last 20 years, the main goal of this work is to provide a general classification of batch scheduling problems and an up-to-date review of the state-of-the-art of this important area. Main features, strengths and limitations of the existing mixed integer linear programming (MILP) optimization techniques will be examined through this paper. We first present a general road-map for scheduling problems of batch plants as well as for the available optimization models. Subsequently, a discussion of modeling aspects of representative MILP models is introduced for both discrete and continuous time models. A comparison of effectiveness and efficiency is presented for discrete- and continuous-time models using a benchmark example taken from the literature. Finally, we draw some general conclusions and point out directions for future research.
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Palabras Clave
SchedulingMILP models
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