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Conference Paper: A multi-agent architecture for integrated process planning and scheduling with meta-heuristics
Title | A multi-agent architecture for integrated process planning and scheduling with meta-heuristics |
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Authors | |
Keywords | Multi-agent system Integrated process planning and scheduling Meta-heuristics |
Issue Date | 2011 |
Publisher | CIE41. |
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? |
Abstract | Manufacturing 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 Identifier | http://hdl.handle.net/10722/143926 |
ISSN | 2020 SCImago Journal Rankings: 0.123 |
DC Field | Value | Language |
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dc.contributor.author | Zhang, L | en_US |
dc.contributor.author | Wong, TN | en_US |
dc.contributor.author | Zhang, S | en_US |
dc.contributor.author | Wan, SY | en_US |
dc.date.accessioned | 2011-12-21T08:58:43Z | - |
dc.date.available | 2011-12-21T08:58:43Z | - |
dc.date.issued | 2011 | en_US |
dc.identifier.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 | en_US |
dc.identifier.issn | 2164-8689 | - |
dc.identifier.uri | http://hdl.handle.net/10722/143926 | - |
dc.description.abstract | Manufacturing 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.language | eng | en_US |
dc.publisher | CIE41. | - |
dc.relation.ispartof | Proceedings of the 41st International Conference on Computer and Industrial Engineering, CIE41 | en_US |
dc.subject | Multi-agent system | - |
dc.subject | Integrated process planning and scheduling | - |
dc.subject | Meta-heuristics | - |
dc.title | A multi-agent architecture for integrated process planning and scheduling with meta-heuristics | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Zhang, L: nguzlp@hku.hk | en_US |
dc.identifier.email | Wong, TN: tnwong@hku.hk | - |
dc.identifier.email | Zhang, S: h1095072@hku.hk | - |
dc.identifier.email | Wan, SY: wanszeyuen@msn.com | - |
dc.identifier.authority | Wong, TN=rp00192 | en_US |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.hkuros | 197929 | en_US |
dc.identifier.spage | 623 | en_US |
dc.identifier.epage | 628 | en_US |
dc.publisher.place | United States | - |
dc.description.other | 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 | - |
dc.identifier.issnl | 2164-8670 | - |