New Mixed Integer Linear Programming Model for Solving Scheduling Problems with Special Characteristics

A new mixed integer linear programming (MILP) model suitable for optimizing scheduling problems typical in chemical and related industries is developed. These problems have characteristics like storage time constraints, operational connectivity restrictions, and continuous tasks with special precede...

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Bibliographic Details
Published in:Industrial & engineering chemistry research 2009-06, Vol.48 (11), p.5321-5335
Main Authors: Czuczai, Barbara, Farkas, Tivadar, Rev, Endre, Lelkes, Zoltan
Format: Article
Language:English
Subjects:
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chemical engineering
Economics. Management. Design assessment
Exact sciences and technology
Process Design and Control
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Summary:A new mixed integer linear programming (MILP) model suitable for optimizing scheduling problems typical in chemical and related industries is developed. These problems have characteristics like storage time constraints, operational connectivity restrictions, and continuous tasks with special precedence constraints. Therefore, a new MILP model is developed for handling these special scheduling problems. The numerical capability of the model is demonstrated using test problems of different complexity levels.
ISSN:0888-5885
1520-5045
DOI:10.1021/ie800124g