INTEC 05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
artículos
Título:
Enhancing the General Precedence Approach for Industrial Scheduling Problems with Sequence-Dependent Issues
Autor/es:
M. COCCOLA; V. CAFARO; C.A. MÉNDEZ; D. CAFARO
Revista:
INDUSTRIAL AND ENGINEERING CHEMISTRY
Editorial:
AMER CHEMICAL SOC
Referencias:
Lugar: Washington; Año: 2014 vol. 53 p. 17092 - 17097
ISSN:
0019-7866
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.
