Reformulations of Mixed-Integer Programming Continuous-Time Models for Chemical Production Scheduling

Autor:	Christos T. Maravelias, Andres F. Merchan
Rok vydání:	2014
Předmět:	Mathematical optimization Computer science General Chemical Engineering Scheduling (production processes) General Chemistry Integer programming Industrial and Manufacturing Engineering Scheduling (computing) Chemical production
Zdroj:	Industrial & Engineering Chemistry Research. 53:10155-10165
ISSN:	1520-5045 0888-5885
DOI:	10.1021/ie404274b
Popis:	Although several optimization models have been proposed for chemical production scheduling, there is still a need for effective solution methods. Accordingly, the goal of this work is to present different reformulations of representative continuous-time models by introducing an explicit variable for the number of batches of a given task. This idea, which has been successfully applied to discrete-time models, results in significant computational enhancement. We discuss how different objective functions benefit from particular reformulations and show significant improvements by means of an extensive computational study that includes several instances containing different process networks and scheduling horizons.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8da73208010c2a348ef24da10a514ad5 https://doi.org/10.1021/ie404274b Zobrazit plný text záznamu