Journal article
An integrated Petri net and GA based approach for scheduling of hybrid plants
Computers in Industry, Vol.58(6), pp.519-530
08/2007
Abstract
Production scheduling in mixed batch/continuous plants, due to their hybrid nature, can become very complex. The main contribution of this paper is the presentation of a novel approach based on the integration of the Timed arc hybrid Petri net (TAHPN) and a genetic algorithm (GA) as a suitable tool for scheduling of hybrid systems. The major benefit of this approach is a significant reduction in complexity during problem formulation. The proposed method is explained through a sugar mill case study.
Details
- Title
- An integrated Petri net and GA based approach for scheduling of hybrid plants
- Authors/Creators
- S.A. Sadrieh (Author/Creator) - Iran University of Science and TechnologyM. Ghaeli (Author/Creator) - Curtin UniversityP.A. Bahri (Author/Creator) - Murdoch UniversityP.L. Lee (Author/Creator) - University of South Australia
- Publication Details
- Computers in Industry, Vol.58(6), pp.519-530
- Publisher
- Elsevier
- Identifiers
- 991005540960007891
- Copyright
- © 2007 Elsevier B.V. All rights reserved.
- Murdoch Affiliation
- School of Engineering
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.84 Supply Chain & Logistics
- 4.84.1014 Optimization under Uncertainty
- Web Of Science research areas
- Computer Science, Interdisciplinary Applications
- ESI research areas
- Computer Science