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Conference Paper: A multi-agent architecture for integrated process planning and scheduling with meta-heuristics

TitleA multi-agent architecture for integrated process planning and scheduling with meta-heuristics
Authors
KeywordsMulti-agent system
Integrated process planning and scheduling
Meta-heuristics
Issue Date2011
PublisherCIE41.
Citation
The 41st International Conference on Computer and Industrial Engineering (CIE41), Los Angeles, CA.,23-25 October 2011. In Proceedings of CIE41, 2011, p. 623-628, no. 183 How to Cite?
AbstractManufacturing process planning and production scheduling functions are usually performed sequentially, disregarding the dynamic nature of manufacturing system. Integrated process planning and scheduling (IPPS) is to combine both the process planning and scheduling problems in the consideration, with the aim to improve the flexibility and adaptability of the actual process plan and the schedule in the dynamical manufacturing environment. In this paper, a hybrid approach of MAS and meta-heuristic search algorithm is proposed to solve the IPPS problem. A new MAS architecture is established to cater for the problem domain of IPPS which is to be solved with meta-heuristic algorithms such as genetic algorithm (GA) or ant colony optimization (ACO). The hybrid MAS-based heuristic approach can enhance the solution quality and efficiency of the IPPS solution due to the distributed and concurrent computation of the heuristic search algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/143926
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZhang, Len_US
dc.contributor.authorWong, TNen_US
dc.contributor.authorZhang, Sen_US
dc.contributor.authorWan, SYen_US
dc.date.accessioned2011-12-21T08:58:43Z-
dc.date.available2011-12-21T08:58:43Z-
dc.date.issued2011en_US
dc.identifier.citationThe 41st International Conference on Computer and Industrial Engineering (CIE41), Los Angeles, CA.,23-25 October 2011. In Proceedings of CIE41, 2011, p. 623-628, no. 183en_US
dc.identifier.issn2164-8689 (electronic)-
dc.identifier.urihttp://hdl.handle.net/10722/143926-
dc.description.abstractManufacturing process planning and production scheduling functions are usually performed sequentially, disregarding the dynamic nature of manufacturing system. Integrated process planning and scheduling (IPPS) is to combine both the process planning and scheduling problems in the consideration, with the aim to improve the flexibility and adaptability of the actual process plan and the schedule in the dynamical manufacturing environment. In this paper, a hybrid approach of MAS and meta-heuristic search algorithm is proposed to solve the IPPS problem. A new MAS architecture is established to cater for the problem domain of IPPS which is to be solved with meta-heuristic algorithms such as genetic algorithm (GA) or ant colony optimization (ACO). The hybrid MAS-based heuristic approach can enhance the solution quality and efficiency of the IPPS solution due to the distributed and concurrent computation of the heuristic search algorithm.-
dc.languageengen_US
dc.publisherCIE41.-
dc.relation.ispartofProceedings of the 41st International Conference on Computer and Industrial Engineering, CIE41en_US
dc.subjectMulti-agent system-
dc.subjectIntegrated process planning and scheduling-
dc.subjectMeta-heuristics-
dc.titleA multi-agent architecture for integrated process planning and scheduling with meta-heuristicsen_US
dc.typeConference_Paperen_US
dc.identifier.emailZhang, L: nguzlp@hku.hken_US
dc.identifier.emailWong, TN: tnwong@hku.hk-
dc.identifier.emailZhang, S: h1095072@hku.hk-
dc.identifier.emailWan, SY: wanszeyuen@msn.com-
dc.identifier.authorityWong, TN=rp00192en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros197929en_US
dc.identifier.spage623en_US
dc.identifier.epage628en_US
dc.publisher.placeUnited States-
dc.description.otherThe 41st International Conference on Computer and Industrial Engineering (CIE41), Los Angeles, CA.,23-25 October 2011. In Proceedings of CIE41, 2011, p. 623-628, no. 183-

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