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Intelligent Optimisation for Integrated Process Planning and Scheduling
Coventry University, United Kingdom.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
Huazhong University of Science and Technology, China.
Huazhong University of Science and Technology, China.
2011 (English)In: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing / [ed] Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb, Springer London, 2011, 305-324 p.Chapter in book (Refereed)
Abstract [en]

Traditionally, process planning and scheduling were performed sequentially, where scheduling was executed after process plans had been generated. Considering the fact that the two functions are usually complementary, it is necessary to integrate them more tightly so that the performance of a manufacturing system can be improved greatly. In this chapter, a multi-agent-based framework has been developed to facilitate the integration of the two functions. In the framework, the two functions are carried out simultaneously, and an optimization agent based on evolutionary algorithms is used to manage the interactions and communications between agents to enable proper decisions to be made. To verify the feasibility and performance of the proposed approach, experimental studies conducted to compare this approach and some previous works are presented. The experimental results show the proposed approach has achieved significant improvement.

Place, publisher, year, edition, pages
Springer London, 2011. 305-324 p.
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5837DOI: 10.1007/978-0-85729-652-8_10ISBN: 978-0-85729-617-7 ISBN: 978-0-85729-652-8 OAI: oai:DiVA.org:his-5837DiVA: diva2:524764
Available from: 2012-05-03 Created: 2012-05-03 Last updated: 2015-01-19Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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