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

Artículo

Autoría

COCCOLA, MARIANA EVANGELINA ; CAFARO, VANINA GUADALUPE ; MENDEZ, CARLOS ALBERTO ; CAFARO, DIEGO CARLOS

Fecha

2014

Editorial y Lugar de Edición

American Chemical Society

Revista

INDUSTRIAL AND ENGINEERING CHEMISTRY, vol. 53 (pp. 17092-17097) American Chemical Society

Resumen Información suministrada por el agente en SIGEVA

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

General precedenceSequencingMILP approachEnhanced formulation

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http://hdl.handle.net/11336/22351