Artículo

Enhancing the General Precedence Approach for Industrial Scheduling Problems with Sequence-Dependent Issues

Coccola, Mariana EvangelinaIcon ; Cafaro, VaninaIcon ; Mendez, Carlos AlbertoIcon ; Cafaro, Diego CarlosIcon
Fecha de publicación: 05/2014
Editorial: American Chemical Society
Revista: Industrial and Engineering Chemistry
ISSN: 0019-7866
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

This paper presents a novel technique that enhances the general precedence, mixed-integer programming approach for the optimal scheduling of process operations. It proves to effectively solve different types of industrial problems dealing with particular sequence-dependent issues, requiring less computational effort than other optimization models. The new formulation takes advantage of the general precedence modeling efficiency, overcoming one of its major limitations.
Palabras clave: Milp Approach , Sequencing , General Precedence , Enhanced Formulation
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/22351
URL: http://pubs.acs.org/doi/pdf/10.1021/ie500803p
DOI: http://dx.doi.org/10.1021/ie500803p
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Articulos(INTEC)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Citación
Coccola, Mariana Evangelina; Cafaro, Vanina; Mendez, Carlos Alberto; Cafaro, Diego Carlos; Enhancing the General Precedence Approach for Industrial Scheduling Problems with Sequence-Dependent Issues; American Chemical Society; Industrial and Engineering Chemistry; 53; 44; 5-2014; 17092-17097
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