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Scheduling and optimisation of batch plants: model development and comparison of approaches

  • South China University of Technology
Research Output: Contribution to journal Article Peer-review

Abstract

The application of parallel machines and storage facilities provides flexibility but raises challenges for batch plants. This research proposes a scheduling model in batch plants, considering complex real-world constraints that were seldom addressed together. Two optimisation approaches, genetic algorithm (GA) and constraint programming (CP), are applied to solve the complex batch plant scheduling problem. A case study and scalability tests are conducted to investigate different performance of GA and CP in the problem to prepare for further research application. It is found that the CP approach has a better performance in solving batch plant scheduling problems with complex constraints although it needs longer time. The ‘restart’ search strategy is better than two other search strategies for the CP approach.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

International Journal of Computer Applications in Technology (Volume 49, Issue 3-4)

Publication milestones

  • Published - 05/06/2014

Publication status

Published - 05/06/2014

ISSN

0952-8091

External Publication IDs

  • handle.net: 10547/333414
  • Scopus: 84905407733

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