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What-if game simulation in agent-based strategic production planners

dc.contributor.authorLeitão, Paulo
dc.contributor.authorRodrigues, Nelson
dc.contributor.authorBarbosa, José
dc.date.accessioned2017-01-17T11:51:26Z
dc.date.available2017-01-17T11:51:26Z
dc.date.issued2015
dc.description.abstractIn the nowadays highly unstable manufacturing market, companies are faced, on a daily basis, with important strategic decisions, such as “does the company has the necessary capacity to accept a high volume order?” or “what measures need to be implemented if the product demand increases x% a year?”. Decision-makers, i.e. company’s managers, rely on their experience and insights supported by classical tools to take such decisions. Classical mathematical solvers or agent-based systems are typical architectural solutions to implement strategic planning tools to support decision-makers on this important task. Within the ARUM (Adaptive Production Management) project, a hybrid strategic planning tool was specified and developed, combining the optimization features of classical solvers with the flexibility and agility of agent systems. This paper briefly presents such architecture and focuses on the generation of the “what-if game” mechanism to support the generation of more intelligent and dynamic planning solutions.pt_PT
dc.description.sponsorshipThe research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007- 2013 under grant agreement n° 314056.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeitão, Paulo; Rodrigues, Nelson; Barbosa, José (2015). What-if game simulation in agent-based strategic production planners. In 20th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. Luxembourg. p.1-8. ISBN 978-1-4673-7929-8pt_PT
dc.identifier.doi10.1109/ETFA.2015.7301438pt_PT
dc.identifier.isbn978-1-4673-7929-8
dc.identifier.urihttp://hdl.handle.net/10198/13834
dc.language.isoengpt_PT
dc.relationADAPTIVE PRODUCTION MANAGEMENT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectStrategic production planningpt_PT
dc.subjectMulti-agents systemspt_PT
dc.subjectWhat-it game simulationpt_PT
dc.titleWhat-if game simulation in agent-based strategic production plannerspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleADAPTIVE PRODUCTION MANAGEMENT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/314056/EU
oaire.citation.conferencePlaceLuxembourgpt_PT
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title20th IEEE International Conference on Emerging Technologies and Factory Automation, ETFApt_PT
oaire.fundingStreamFP7
person.familyNameLeitão
person.familyNameBarbosa
person.givenNamePaulo
person.givenNameJosé
person.identifierA-8390-2011
person.identifier609187
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.ciencia-id021B-4191-D8A5
person.identifier.orcid0000-0002-2151-7944
person.identifier.orcid0000-0003-3151-6686
person.identifier.ridA-5468-2011
person.identifier.scopus-author-id35584388900
person.identifier.scopus-author-id48360905400
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication0c76a063-ff3c-4db3-b6e7-36885020b399
relation.isAuthorOfPublication.latestForDiscovery0c76a063-ff3c-4db3-b6e7-36885020b399
relation.isProjectOfPublication3d72fa66-f13f-49dd-82fa-a671b6bd0ef3
relation.isProjectOfPublication.latestForDiscovery3d72fa66-f13f-49dd-82fa-a671b6bd0ef3

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