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Towards the Improvement of Yard Management Systems (YMS) Using Radio Frequency Identification (RFID)

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International Conference on Reliable Systems Engineering (ICoRSE) - 2022 (ICoRSE 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 534))

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Abstract

In the last years strict quarantine regulations and the associated supply chain disturbances have changed the usual business processes, especially increasing logistics costs. In a pandemic environment, the rapid trend to online sales, and with it, the increase of turnover, have forced companies, especially logistics service providers, to look for solutions, which allow fast and accurate recognition of goods and establish the continuous control of material flow in all steps of the supply chain. One of the major problems in this field represents the lack of integration of yard, warehouse and transport management systems (YMS, WMS and TMS correspondingly), that results in schedule disturbances and uncontrolled material flow inside of a yard of logistics service providers. The goal of our work is to improve the YMS, obtaining new data about the status of the material flow object inside the yard of logistics complexes, using a universal RFID-based logistics complex model, which allows better integration of YMS with the WMS and TMS. Firstly, we provide a theoretical background of YMS and set up of the universal RFID-based logistics complex model. Then the model is mirrored in the software package AnyLogic, where three possible scenarios of transport vehicle identification are shown. Finally, the results and outlook of possible future research are presented.

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References

  1. Perig, A.V., Stadnik, A.N., Deriglazov, A.I., Podlesny, S.V.: 3 DOF spherical pendulum oscillations with a uniform slewing pivot center and a small angle assumption. Shock. Vib. (2014). https://doi.org/10.1155/2014/203709

    Article  Google Scholar 

  2. Arabasi, S., Masoud, Z.: Simultaneous travel and hoist maneuver input shaping control using frequency modulation. Shock. Vib. (2017). https://doi.org/10.1155/2017/5703820

    Article  Google Scholar 

  3. Grigorov, O., Druzhynin, E., Anishchenko, G., Strizhak, M., Strizhak, V.: Analysis of various approaches to modeling of dynamics of lifting-transport vehicles. IJET (2018). https://doi.org/10.14419/ijet.v7i4.3.19553

  4. Andiyappillai, N., Prakash, T.: Implementing Warehouse Management Systems in Logistics: A Case Study (2019). https://doi.org/10.5281/ZENODO.2576011

  5. Albrecht, W.: Aufgabenbereiche von IT-Systemen in der Logistik. In: Wehking, K.-H. (ed.) Technisches Handbuch Logistik. Fördertechnik, Materialfluss, Intralogistik, pp. 11–70. Morgan Kaufmann, Berlin, Heidelberg (2020)

    Google Scholar 

  6. Anđelković, A., Radosavljević, M.: Improving order-picking process through implementation of warehouse management system. Strategic Manage. (2018). https://doi.org/10.5937/StraMan1801003A

    Article  Google Scholar 

  7. Hamdy, W., Mostafa, N., Elawady, H.: Towards a smart warehouse management system. In: Proceedings of the International Conference on Industrial Engineering and Operations Management, 27–29 Sept 2018, pp. 2555–2563. IEOM Society International, Southfield, Michigan, USA (2018)

    Google Scholar 

  8. Tamás, P., Dobos, P., Illés, B.: Examination of improvement possibilities in warehouse management systems (2017)

    Google Scholar 

  9. Griffis, S.E., Goldsby, T.J.: Transportation management systems: an exploration of progress and future prospects. JOTM (2007). https://doi.org/10.22237/jotm/1175385780

  10. Agarwal, V., Sharma, S.: IoT based smart transport management system. In: Luhach, A.K., Jat, D.S., Bin Ghazali, K.H., Gao, X.-Z., Lingras, P. (eds.) ICAICR 2020. CCIS, vol. 1394, pp. 207–216. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-3653-0_17

    Chapter  Google Scholar 

  11. Martin, H.: Informationslogistik. In: Nagl, A. (ed.) Transport- und Lagerlogistik, pp. 504–529. Springer Fachmedien Wiesbaden, Wiesbaden (2014)

    Google Scholar 

  12. Cao, X., Li, T., Wang, Q.: RFID-based multi-attribute logistics information processing and anomaly mining in production logistics. Int. J. Prod. Res. (2019). https://doi.org/10.1080/00207543.2018.1526421

    Article  Google Scholar 

  13. Feng, S., Han, G., Zhang, F., He, B., Hui, J.: An RFID data matrices-based evaluation method for process logistics state. Math. Probl. Eng. (2019). https://doi.org/10.1155/2019/1638031

    Article  Google Scholar 

  14. Abbas, A., Al-Bazi, A., Palade, V.: A constrained fuzzy knowledge-based system for the management of container yard operations. Int. J. Fuzzy Syst. 20(4), 1205–1223 (2018). https://doi.org/10.1007/s40815-018-0448-9

    Article  Google Scholar 

  15. Park, J., Oh, S., Cheong, T., Lee, Y.: Freight container yard management system with electronic seal technology. In: 2006 IEEE International Conference on Industrial Informatics, 16.08.2006 - 18.08.2006, pp. 67–72. IEEE, Singapore (2006). https://doi.org/10.1109/INDIN.2006.275719

  16. Dimitrov, L., Purgic, S., Tomov, P., Todorova, M.: Approach for development of real-time marshalling yard management system. In: 2018 International Conference on High Technology for Sustainable Development (HiTech), 11.06.2018 - 14.06.2018, pp. 1–5. IEEE, Sofia (2018). https://doi.org/10.1109/hitech.2018.8566369

  17. Zhen, L., Jiang, X., Lee, L.H., Chew, E.P.: A review on yard management in container terminals. Indust. Eng. Manage. Syst. (2013). https://doi.org/10.7232/iems.2013.12.4.289

    Article  Google Scholar 

  18. Liang, Y., Bai, X.: Design of RFID-enabled container yard management system. In: Kacprzyk, J., Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds.) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology, AINSC, vol. 66, pp. 1751–1758. Springer, Berlin, (2010). https://doi.org/10.1007/978-3-642-10430-5_131

  19. Cekała, T., Telec, Z., Trawiński, B.: Truck loading schedule optimization using genetic algorithm for yard management. In: Nguyen, N.T., Trawiński, B., Kosala, R. (eds.) ACIIDS 2015. LNCS (LNAI), vol. 9011, pp. 536–548. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-15702-3_52

    Chapter  Google Scholar 

  20. Chang, M.-C., Zhao, G., Pandey, A.K., Pulver, A., Tu, P.: Railcar detection, identification and tracking for rail yard management. In: 2020 IEEE International Conference on Image Processing (ICIP), 25.10.2020 - 28.10.2020, pp. 2271–2275. IEEE, Abu Dhabi, United Arab Emirates (2020). https://doi.org/10.1109/ICIP40778.2020.9190763

  21. Heiden, B., Alieksieiev, V., Tonino-Heiden, B.: Scalable logistic cell RFID witness model. In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, 5/7/2020 - 5/9/2020, pp. 420–427. SCITEPRESS - Science and Technology Publications (2020 - 2020), . Prague, Czech Republic. https://doi.org/10.5220/0009490204200427

  22. AnyLogic Homepage. https://www.anylogic.com/. Accessed 1 June 2022

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Authors and Affiliations

  1. Leibniz University Hannover, Welfengarten 1, 30167, Hannover, Germany

    Volodymyr Alieksieiev

  2. National Technical University “Kharkiv Polytechnic Institute”, Kyrpychova 2, Kharkiv, 61002, Ukraine

    Valentyn Kovalenko, Vsevolod Stryzhak, Ivan Varchenko & Mariana Stryzhak

  3. Carinthia University of Applied Sciences, Europastrasse 4, 9524, Villach, Austria

    Bernhard Heiden

  4. University of Graz, Heinrichstrasse 26/V, 30167, Graz, Austria

    Bianca Tonino-Heiden

Authors
  1. Volodymyr Alieksieiev
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  2. Valentyn Kovalenko
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  3. Vsevolod Stryzhak
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  4. Ivan Varchenko
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  5. Mariana Stryzhak
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  6. Bernhard Heiden
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  7. Bianca Tonino-Heiden
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Correspondence to Volodymyr Alieksieiev .

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Editors and Affiliations

  1. INCDMTM (National Institute of Research and Development in Mechatronics and Measurement Technique), Bucharest, Romania

    Daniela Doina Cioboată

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Alieksieiev, V. et al. (2023). Towards the Improvement of Yard Management Systems (YMS) Using Radio Frequency Identification (RFID). In: Cioboată, D.D. (eds) International Conference on Reliable Systems Engineering (ICoRSE) - 2022. ICoRSE 2022. Lecture Notes in Networks and Systems, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-031-15944-2_21

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