Science and Technology Production
Article
Authorship
Kopanos, Georgios
;
MENDEZ, CARLOS ALBERTO
;
Puigjaner, Luis
Date
2010
Publishing House and Editing Place
AIDIC Servizi
Magazine
Chemical Engineering Transactions,
vol. 21
(pp. 511-516)
- ISSN 1974-9791
AIDIC Servizi
AIDIC Servizi
ISSN
1974-9791
Summary
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An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed str...
An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed strategy performance is tested on a number of problem instances of a complicated real-world multi-stage multi-product pharmaceuticals scheduling problem. High quality solutions are reported within reasonable computational time.
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Key Words
Multi-stage Multi-product batch processMILP-based approachPharmaceutical IndustryReal-world Scheduling problemsTwo-stage Decomposition Strategy
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