File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Multi-agent-based approach to solve part selection and task allocation problem in flexible manufacturing systems

TitleMulti-agent-based approach to solve part selection and task allocation problem in flexible manufacturing systems
Authors
KeywordsFlexible Manufacturing Systems (FMS)
Multi Agent Systems (MAS)
Part selection
Task allocation
Issue Date2005
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
Citation
International Journal Of Production Research, 2005, v. 43 n. 7, p. 1313-1335 How to Cite?
AbstractAgent technology is currently being considered as an important approach for developing intelligent manufacturing systems. It offers a new way of thinking about many of the classical problems in manufacturing engineering. A multi-agent-based approach for solving the part allocation problems in flexible manufacturing systems (FMS) is presented that can easily cope with the dynamic environment. Four agents were involved in carrying out the tasks of allocating parts on different machines: communicator, machine, part and material handling device (MHD). Upon arrival in the manufacturing facility, the part informs the communicator agent about the task requirements. The communicator agent divides the task into subtasks and sends a call-for-bids message to the machine and MHD agents. Each machine responds in accordance with its process capabilities and buffer limit. This response may be for the whole task or for one or more subtasks and it contains the price and cost details for these subtasks along with the performance index and acceptance ratio of the machine. The final allocation is made based on the objective function that includes processing and transportation costs and time. An algorithm is presented that is used by the communicator agent for allocating parts to different machines. An illustrative example is given to solve the task allocation on five machines, with each machine having different performance index and acceptance ratio. © 2005 Taylor & Francis Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/74487
ISSN
2015 Impact Factor: 1.693
2015 SCImago Journal Rankings: 1.445
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorTripathi, AKen_HK
dc.contributor.authorTiwari, MKen_HK
dc.contributor.authorChan, FTSen_HK
dc.date.accessioned2010-09-06T07:01:48Z-
dc.date.available2010-09-06T07:01:48Z-
dc.date.issued2005en_HK
dc.identifier.citationInternational Journal Of Production Research, 2005, v. 43 n. 7, p. 1313-1335en_HK
dc.identifier.issn0020-7543en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74487-
dc.description.abstractAgent technology is currently being considered as an important approach for developing intelligent manufacturing systems. It offers a new way of thinking about many of the classical problems in manufacturing engineering. A multi-agent-based approach for solving the part allocation problems in flexible manufacturing systems (FMS) is presented that can easily cope with the dynamic environment. Four agents were involved in carrying out the tasks of allocating parts on different machines: communicator, machine, part and material handling device (MHD). Upon arrival in the manufacturing facility, the part informs the communicator agent about the task requirements. The communicator agent divides the task into subtasks and sends a call-for-bids message to the machine and MHD agents. Each machine responds in accordance with its process capabilities and buffer limit. This response may be for the whole task or for one or more subtasks and it contains the price and cost details for these subtasks along with the performance index and acceptance ratio of the machine. The final allocation is made based on the objective function that includes processing and transportation costs and time. An algorithm is presented that is used by the communicator agent for allocating parts to different machines. An illustrative example is given to solve the task allocation on five machines, with each machine having different performance index and acceptance ratio. © 2005 Taylor & Francis Ltd.en_HK
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.aspen_HK
dc.relation.ispartofInternational Journal of Production Researchen_HK
dc.subjectFlexible Manufacturing Systems (FMS)en_HK
dc.subjectMulti Agent Systems (MAS)en_HK
dc.subjectPart selectionen_HK
dc.subjectTask allocationen_HK
dc.titleMulti-agent-based approach to solve part selection and task allocation problem in flexible manufacturing systemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-7543&volume=43&issue=7&spage=1313&epage=1335&date=2005&atitle=Multi-agent-based+approach+to+solve+part+selection+and+task+allocation+problem+in+flexible+manufacturing+systemsen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/00207540412331299710en_HK
dc.identifier.scopuseid_2-s2.0-27744532970en_HK
dc.identifier.hkuros100478en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-27744532970&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume43en_HK
dc.identifier.issue7en_HK
dc.identifier.spage1313en_HK
dc.identifier.epage1335en_HK
dc.identifier.isiWOS:000227608300002-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridTripathi, AK=7202810207en_HK
dc.identifier.scopusauthoridTiwari, MK=35427952100en_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.citeulike98546-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats