Optimization of Logistics Processes of the Supply Chain Using RFID Technology

Pawel Rymarczyk, Arkadiusz Malek, Ryszard Nowak and Jacek Dziwulski

European Research Studies Journal, 2021, vol. XXIV, issue Special 1 - Part 2, 637-647

Abstract: Purpose: 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.

Keywords: Machine learning; RFID; Gradient boosting; random forests; decision trees; RUS. (search for similar items in EconPapers)
JEL-codes: C61 E27 O30 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ers:journl:v:xxiv:y:2021:i:special1-part2:p:637-647

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