Detection of outliers for a pharmaceutical distribution company in Portugal | Deteção de outliers numa empresa de distribuição farmacêutica em Portugal

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dc.contributor.authorRibeiro, Augusto
dc.contributor.authorDurão, Natércia
dc.contributor.authorSeruca, Isabel
dc.date.accessioned2017-02-10T18:06:01Z
dc.date.available2017-02-10T18:06:01Z
dc.date.issued2016
dc.description.abstractFor pharmaceutical distribution companies it is essential to obtain good estimates of medicine needs, due to the short shelf life of many medicines and the need to control stock levels, so as to avoid excessive inventory costs while guaranteeing customer demand satisfaction, and thus decreasing the possibility of loss of customers due to stock outages. In this paper we explore the use of the time series data mining technique for the sales prediction of individual products of a pharmaceutical distribution company in Portugal. Through data mining techniques, the historical data of product sales are analyzed to detect patterns and make predictions based on the experience contained in the data. The results obtained with the technique as well as with the proposed method suggest that the performed modelling may be considered appropriate for the short term product sales prediction.pt_PT
dc.identifier.doi10.1109/CISTI.2016.7521396pt_PT
dc.identifier.urihttp://hdl.handle.net/11328/1749
dc.language.isoporpt_PT
dc.peerreviewedyespt_PT
dc.rightsopen accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMedicinespt_PT
dc.subjectStock unavailabilitypt_PT
dc.subjectData miningpt_PT
dc.subjectTime seriespt_PT
dc.subjectSales predictionpt_PT
dc.titleDetection of outliers for a pharmaceutical distribution company in Portugal | Deteção de outliers numa empresa de distribuição farmacêutica em Portugalpt_PT
dc.typejournal articlept_PT
degois.publication.firstPage527pt_PT
degois.publication.lastPage531pt_PT
degois.publication.locationIberian Conference on Information Systems and Technologies, CISTIpt_PT
degois.publication.titleAtas da 11ª Conferência Ibérica de Sistemas e Tecnologias de Informação (CISTI'2016)pt_PT
dspace.entity.typePublicationen
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.familyNameDurão
person.familyNameSeruca
person.givenNameNatércia
person.givenNameIsabel
person.identifier.ciencia-idB217-A937-4C0F
person.identifier.ciencia-id191B-FFC7-0BF6
person.identifier.orcid0000-0002-0845-263X
person.identifier.orcid0000-0002-9951-6378
person.identifier.ridH-3050-2016
person.identifier.ridP-1273-2014
person.identifier.scopus-author-id57188548415
person.identifier.scopus-author-id6508239883
relation.isAuthorOfPublication52cf0a76-94d1-41db-98a6-bc2d0790bde2
relation.isAuthorOfPublicationa13477f3-f0a6-49b3-a5b9-506da8e749b6
relation.isAuthorOfPublication.latestForDiscovery52cf0a76-94d1-41db-98a6-bc2d0790bde2

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