DC FieldValueLanguage
dc.contributor.authorPapakyriakopoulos, Dimitrios-
dc.contributor.authorDoukidis, Georgios-
dc.contributor.authorPramatari, Katerina-
dc.date.accessioned2024-04-19T08:51:31Z-
dc.date.available2024-04-19T08:51:31Z-
dc.date.issued2009-02-01-
dc.identifierscopus-58749098381-
dc.identifier.issn0167-9236-
dc.identifier.other58749098381-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2145-
dc.description.abstractThe problem of products missing from the shelf is a major one in the grocery retail sector, as it leads to lost sales and decreased consumer loyalty. Yet, the possibilities for detecting and measuring an "out-of-shelf" situation are limited. In this paper we suggest the employment of machine-learning techniques in order to develop a rule-based Decision Support System for automatically detecting products that are not on the shelf based on sales and other data. Results up-to-now suggest that rules related with the detection of "out-of-shelf" products are characterized by acceptable levels of predictive accuracy and problem coverage.en_US
dc.language.isoenen_US
dc.relation.ispartofDecision Support Systemen_US
dc.subjectClassification problemen_US
dc.subjectHeuristic rulesen_US
dc.subjectOut-of-shelfen_US
dc.subjectOut-of-stocken_US
dc.subjectRule-based decision support systemen_US
dc.subjectShelf availabilityen_US
dc.titleA decision support system for detecting products missing from the shelf based on heuristic rulesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.dss.2008.11.004en_US
dc.identifier.scopus2-s2.0-58749098381-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume46en_US
dc.relation.issue3en_US
dc.identifier.spage685en_US
dc.identifier.epage694en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-7033-1890-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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