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A multi-agent system tool for strategic planning in small-lot production environments

dc.contributor.authorBarbosa, José
dc.contributor.authorLeitão, Paulo
dc.contributor.authorInden, Udo
dc.contributor.authorMascioni, Fosco
dc.date.accessioned2018-04-05T09:12:02Z
dc.date.available2018-04-05T09:12:02Z
dc.date.issued2015
dc.description.abstractThe scale of output respectively sales matters in strategic and operations planning because it controls the degression of fixed costs, of learning curve effects (degression of average or perunit variable costs) or purchasing power that influences prime costs. But what is “small”? There is no clear quantitative definition of “small”, except that the minimum is 1. In the usecases of the ARUM project, airframers and producers of galley appliances, want to sell as much as possible of the same, just limited by the size of the markets for aircrafts and related appliances as well as the interplay of competitive forces [1]. The most sold aircrafts are the Airbus A320 family with an average output of about 180 units per year (6486 in total) [2] and the Boeing 737 family with 230 units per year (8350 in total) [3]. And Iacobuccy HF (IHF) in the long average produced about 1000 galley appliances per year. Compared to car industry that is very small. Compared to the size of the aviation market it is very reasonable. IHF is world marked leader for airworthy coffee makers, On the other side, in the purchasing market also the size of the bill of materials of the product matters. In the cases of the A320 and the B737 that are about 4 million parts per unit, a very big scale, while the galley appliances consist of some hundred parts – a small scale. The differences translate into variations of the leeway of pricing, of market shares and of the profitability. For the purpose of this paper and with regard to the use-case respectively the demonstration scenario it will be sufficient to have a look at the impact of small lots in the sales markets in aviation industry.pt_PT
dc.description.sponsorshipIn this article, the authors present the results that were developed with the partial support of ARUM (Adaptive pRodUction Management, http://arum-project.eu/) project. The ARUM project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 314056.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBarbosa, José; Leitão, Paulo; Inden, Udo; Mascioni, Fosco (2015). A multi-agent system tool for strategic planning in small-lot production environments. Cutter It Journal. ISSN 1522-7383. 28:4, p. 29-36pt_PT
dc.identifier.issn1522-7383
dc.identifier.urihttp://hdl.handle.net/10198/16689
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationADAPTIVE PRODUCTION MANAGEMENT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleA multi-agent system tool for strategic planning in small-lot production environmentspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleADAPTIVE PRODUCTION MANAGEMENT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/314056/EU
oaire.citation.endPage36pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage29pt_PT
oaire.citation.titleCutter It Journalpt_PT
oaire.citation.volume28pt_PT
oaire.fundingStreamFP7
person.familyNameBarbosa
person.familyNameLeitão
person.givenNameJosé
person.givenNamePaulo
person.identifier609187
person.identifierA-8390-2011
person.identifier.ciencia-id021B-4191-D8A5
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0003-3151-6686
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridA-5468-2011
person.identifier.scopus-author-id48360905400
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0c76a063-ff3c-4db3-b6e7-36885020b399
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery0c76a063-ff3c-4db3-b6e7-36885020b399
relation.isProjectOfPublication3d72fa66-f13f-49dd-82fa-a671b6bd0ef3
relation.isProjectOfPublication.latestForDiscovery3d72fa66-f13f-49dd-82fa-a671b6bd0ef3

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