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Decision making system to support the cost of ordered products in the budget stage

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dc.contributor.authorMatte, Lucas Henrique
dc.contributor.authorVaz, Clara B.
dc.date.accessioned2023-03-01T12:24:45Z
dc.date.available2023-03-01T12:24:45Z
dc.date.issued2022
dc.description.abstractThis work aims to identify the critical production costs, related to raw materials and labor, of ordered inflatable-based products without standardization in order to develop a quantitative model to predict these costs accurately in the early project stage, within the budget step. In order to achieve this goal, it was necessary to understand the production processes and the raw materials, as well as to study the principal theoretical aspects related to cost estimating techniques and methods, cost estimating models, model selection, and validation. Therefore, it is intended to develop a multiple linear regression model, applied to historical quantitative data, to estimate each critical variable concerning the quantity of the main raw material and the labor times for critical processes. Six models were analyzed, in which two models are identified for each critical variable such as the linear meters value of the main raw material used in the product, the main raw material cut time involved in the product and the sew time required by the product. The models were evaluated, selected, and validated, defining the best model for each critical variable. The model parameters were obtained using a train dataset and, afterwards, the results of the selected models were validated using a test dataset. The obtained results, through the proposed methodology, were evaluated and proved to be reliable for use in the early stage of product development within the budget step.pt_PT
dc.description.sponsorshipThis work has been supported by Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMatte, Lucas Henrique; Vaz, Clara B. (2022). Decision making system to support the cost of ordered products in the budget stage. In International Conference on Optimization Learning Algorithms and Applications. Braganca. 1754, p. 486 - 501pt_PT
dc.identifier.doi10.1007/978-3-031-23236-7_34pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27369
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectProduct budgetingpt_PT
dc.subjectProduction costspt_PT
dc.subjectCost estimationpt_PT
dc.subjectMultiple linear regressionpt_PT
dc.titleDecision making system to support the cost of ordered products in the budget stagept_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberUIDP/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragancapt_PT
oaire.citation.endPage501pt_PT
oaire.citation.startPage486pt_PT
oaire.citation.titleInternational Conference on Optimization Learning Algorithms and Applicationspt_PT
oaire.citation.volume1754pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMatte
person.familyNameVaz
person.givenNameLucas Henrique
person.givenNameClara B.
person.identifierR-001-FQC
person.identifier.ciencia-id9611-3386-E516
person.identifier.orcid0000-0002-8921-8991
person.identifier.orcid0000-0001-9862-6068
person.identifier.ridF-1519-2016
person.identifier.scopus-author-id56352045500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication21c53719-3cad-44a8-bc5a-249eb6c55c4a
relation.isAuthorOfPublication34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isAuthorOfPublication.latestForDiscovery34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
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