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dc.contributor.authorKumru, Mesut
dc.contributor.authorKumru, Pınar Yıldız
dc.date.accessioned2015-07-30T14:11:49Z
dc.date.available2015-07-30T14:11:49Z
dc.date.issued2014-01-02
dc.identifier.citationKumru, M., Kumru, P.Y. (2014). Using artificial neural networks to forecast operation times in metal industry. International Journal of Computer Integrated Manufacturing, 27 (1), 48-59. http://dx.doi.org/10.1080/0951192X.2013.800231.en_US
dc.identifier.issn0951-192X
dc.identifier.issn1362-3052
dc.identifier.other000328197000004 (WOS)
dc.identifier.urihttp://dx.doi.org/10.1080/0951192X.2013.800231
dc.identifier.urihttp://hdl.handle.net/11376/1836
dc.description.abstractThis study was conducted in an auto spare parts production plant where the biggest bottleneck in managing the enterprise is the lack of fulfilling the requisitions of the customers on time. The main reason for the delay is the absence of operation time data valid for the required parts ordered with different specifications. For preparing effective schedules and for eliminating the bottleneck, the factory needs to use reliable operation time data for each part produced. An artificial neural network (ANN) approach was used for this purpose, and its forecasting performance was compared with that of multiple linear and nonlinear regression models. Based on the statistical analyses, the ANN approach outperformed the regression models and is found to be more reliable in forecasting the operation times.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/0951192X.2013.800231en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectForecastingen_US
dc.subjectForecasting Methodsen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectMultiple Regressionen_US
dc.titleUsing artificial neural networks to forecast operation times in metal industryen_US
dc.typearticleen_US
dc.relation.journalInternational Journal of Computer Integrated Manufacturingen_US
dc.contributor.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.contributor.authorIDTR143826en_US
dc.contributor.authorIDTR154068en_US
dc.identifier.volume27en_US
dc.identifier.issue1en_US
dc.identifier.startpage48en_US
dc.identifier.endpage59en_US


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