Show simple item record

dc.contributor.authorKurasova, Olga
dc.contributor.authorMarcinkevičius, Virginijus
dc.contributor.authorMedvedev, Viktor
dc.contributor.authorMikulskienė, Birutė
dc.date.accessioned2021-02-04T12:02:59Z
dc.date.available2021-02-04T12:02:59Z
dc.date.issued2021
dc.identifier.urihttps://repository.mruni.eu/handle/007/17125
dc.description.abstractAccurate cost estimation at the early stage of a construction project is a key factor in the success of most projects. Many difficulties arise when estimating the cost during the early design stage in customized furniture manufacturing. It is important to estimate the product cost in the earlier manufacturing phase. The cost estimation is related to the prediction of the cost, which commonly includes calculation of the materials, labor, sales, overhead, and other costs. Historical data of the previously manufactured products can be used in the cost estimation process of the new products. In this paper, we propose an early cost estimation approach, which is based on machine learning techniques. The experimental investigation based on the real customized furniture manufacturing data is performed, results are presented, and insights are given.en
dc.language.isoenen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleEarly Cost Estimation in Customized Furniture Manufacturing Using Machine Learningen
dc.typeArticleen
dc.doi10.18178/ijmlc.2021.11.1.1010en
dc.editorial.boardYraen
dc.identifier.alephelaba:70467420en
dc.publication.sourceInternational Journal of Machine Learning and Computing. ISSN 2010-3700, 2020, Vol. 11, No. 1en
dc.subject.facultyViešojo valdymo ir verslo fakultetasen
dc.subject.facultyKitasen
dc.subject.keywordCost estimationen
dc.subject.keywordCustomized furniture manufacturingen
dc.subject.keywordMachine learningen
dc.subject.keywordPredictionen
dc.subject.laboratorySveikatos tyrimų laboratorijaen
dc.subject.publicationtypeS4en
dc.subject.sciencedirection07T - Informatikos inžinerijaen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record