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

Article

Authorship

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

Date

2014

Publishing House and Editing Place

American Chemical Society

Magazine

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

Summary Information provided by the agent in 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.

Key Words

General precedenceSequencingMILP approachEnhanced formulation

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