ANFIS MODEL FOR DETERMININ G THE ECONOMIC ORDER QUANTITY

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dc.citation.epage92
dc.citation.spage81
dc.citation.volume1
dc.contributor.authorSremac, Siniša
dc.contributor.authorTanackov, Ilija
dc.contributor.authorKopić, Miloš
dc.contributor.authorRadović, Dunja
dc.date.accessioned2023-07-19T09:24:26Z
dc.date.available2023-07-19T09:24:26Z
dc.date.issued2018
dc.description.abstractThe determination of the economic order quantity is important for the rational realization of the logistics process of transport, manipulation and storage in the supply chain. In this paper an expert model for the determination of the economic order quantity has been developed. The model has been developed using the hybrid method of artificial intelligence Adaptive neuro-fuzzy inference systems - ANFIS. It has been used for modeling a complex logistics process in which it is difficult to determine the interdependence of the presented variables applying classical methods. The hybrid method has been applied to take advantages of the individual methods of artificial intelligence: fuzzy logic and neural networks. Experience of an experts and information on the operations of the company for a certain group of items have been used to form the model. Analysis of the validity of the model results was performed on the basis of the average relative error and it has showed that the model imitates the work of the expert in the observed company with great accuracy. Sensitivity analysis has been applied which indicates that the model gives valid results. The proposed model is flexible and can be applied to various types of goods in supply chain management
dc.identifier.doi10.31181/dmame1802079s
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/489
dc.language.isoen
dc.sourceDecision Making: Applications in Management and Engineering
dc.subjectAdaptive neuro-fuzzy inference systems, economic order quantity, supply chain management, logistics processes
dc.titleANFIS MODEL FOR DETERMININ G THE ECONOMIC ORDER QUANTITY
dc.typeArticle
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Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]