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Optimization of Logistics Processes of the Supply Chain Using RFID Technology

cris.lastimport.scopus2024-09-18T01:31:30Z
dc.abstract.enPurpose: The aim of the article is to develop a system for optimizing supply chain logistics processes using RFID technology. Design/Methodology/Approach: Machine learning algorithms such as Gradient Boosting, random forests, decision trees, RUS were used to solve the problem. An RFID reader and dedicated software were designed. Findings: The results of the conducted research show that the methods used, a procet application based on RFID technology, increases the company's efficiency in logistic processes. Practical Implications: The methods and system presented in the article can be used in the supply chain of logistics and manufacturing companies. Originality/Value: The novelty is the appropriate selection and use of machine learning methods for the designed system that optimizes the logistics processes of returns using RFID technology. A proprietary system consisting of a dedicated reader and IT application was designed.
dc.affiliationTransportu i Informatyki
dc.contributor.authorPawel Rymarczyk
dc.contributor.authorArkadiusz Malek
dc.contributor.authorRyszard Nowak
dc.contributor.authorJacek Dziwulski
dc.date.accessioned2024-07-04T09:14:01Z
dc.date.available2024-07-04T09:14:01Z
dc.date.issued2021
dc.identifier.doi10.35808/ersj/2292
dc.identifier.issn1108-2976
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/362
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofEUROPEAN RESEARCH STUDIES JOURNAL
dc.rightsCC-BY
dc.subject.enMachine learning
dc.subject.enRFID
dc.subject.enGradient boosting
dc.subject.enrandom forests
dc.subject.endecision trees
dc.subject.enRUS
dc.titleOptimization of Logistics Processes of the Supply Chain Using RFID Technology
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issueSpecial Issue 2
oaire.citation.volumeXXIV