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Optimization of Logistics Processes of the Supply Chain Using RFID Technology

Author

Listed:
  • Pawel Rymarczyk
  • Arkadiusz Malek
  • Ryszard Nowak
  • Jacek Dziwulski

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.

Suggested Citation

  • Pawel Rymarczyk & Arkadiusz Malek & Ryszard Nowak & Jacek Dziwulski, 2021. "Optimization of Logistics Processes of the Supply Chain Using RFID Technology," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 637-647.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special2:p:637-647
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    More about this item

    Keywords

    Machine learning; RFID; Gradient boosting; random forests; decision trees; RUS.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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