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The smart warehouse trend: actual level of technology availability

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Background: Some phrases become common and contemporary without justification. One such term for business activities is the term smart. In the field of logistics, the trend toward "smart" warehousing is increasingly attracting attention. It is necessary to define it and the stage where intelligence can be achieved using available state-of-the-art technology, to follow the trend of the dehumanization of warehouse and in general manufacturing operations in the direction of Industry 4.0. Methods: The article is based mainly on observational methods, literature review, and document analysis, based on data obtained during the implementation of consulting projects. The subject is limited to warehouses designated to process palletised goods. Results: The available state-of-the-art solutions, like IoT, automation, robots, and communication standards, are close to smart warehouse implementation. But on the other hand, lack of full cooperation between various parties of supply chain and long-term return on investment stand in opposition to implementation. Conclusions: Smart warehouse is the matter of the future. Technology is predominantly achievable, but standardization, universalization and trust are necessary to reach the level of real implementation. Smart solutions are within the reach of a single enterprise, but only in isolation from its microenvironment.
Czasopismo
Rocznik
Strony
227--235
Opis fizyczny
Bibliogr. 17 poz., rys., tab., wykr.
Twórcy
  • Lukasiewicz Research Network - Poznań Institute of Technology (L-PIT) Poznań, Poland
Bibliografia
  • 1. Bolu A., Korçak Ö., 2019, Path planning for multiple mobile robots in smart warehouse, 2019 7th International Conference on Control, Mechatronics and Automation (ICCMA), IEEE November (2019), pp. 144-150, https://doi.org/10.1109/ICCMA46720.2019.8988635
  • 2. Cardin O., Ounnar F., Thomas A., Trentesaux D., 2016, Future industrial systems: best practices of the intelligent manufacturing and services systems (IMS2) French Research Group, IEEE Transport Industry Information, 13 (2), https://doi.org/10.1109/TII.2016.2605624
  • 3. Cogo E., Žunić E., Beširević A., Delalić S., Hodžić K., 2020, Position based visualization of real world warehouse data in a smart warehouse management system, 19th International Symposium INFOTEH JAHORINA (INFOTEH), IEEE March (2020), https://doi.org/10.1109/INFOTEH48170.20 20.9066323
  • 4. Čolaković A., Čaušević S., Kosovac A., Muharemović E., 2020, A review of enabling technologies and solutions for IoT based smart warehouse monitoring system, International Conference New Technologies, Development and Applications, Springer, Cham June, https://doi.org/10.1007/978-3-030-46817-0_73
  • 5. Falkenberg R., Masoudinejad M., Buschhoff M., Venkatapathy A.K.R., Friesel D., ten Hompel M., Wietfeld C., 2017, PhyNetLab: an IoT-based warehouse testbed, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS), IEEE September (2017), https://doi.org/10.15439/2017F267
  • 6. He Z., Aggarwal V., Nof S.Y., 2018, Differentiated service policy in smart warehouse automation. International Journal of Production Research, Volume 56, 2018 - Issue 22, https://doi.org/10.1080/00207543.2017.1421789
  • 7. IoT Agenda, Definition - smart warehouse, 2019, https://internetofthingsagenda.techtarget.com/definition/smart-warehouse?_ga=2.97258332.290387139.1601976116-1510280331.1600327891 access 2020.10.06
  • 8. Jabbar, S., Khan, M., Silva, B.N., Han, K., 2018, A REST-based industrial web of things’ framework for smart warehousing. Journal Supercomputer, 74 (9), 4419-4433, https://doi.org/10.1007/s11227-016-1937-y
  • 9. Jaekel F., 2019, Systematic review of cloud logistics knowledge, Cloud Logistics, Springer Gabler, Wiesbaden, https://doi.org/10.1007/978-3-658-22837-8_5
  • 10. Kamali, A., 2019, Smart warehouse vs. traditional warehouse - review, CiiT International Journal of Automation and Autonomous System, Vol 11, No 1, January 2019.
  • 11. Montreuil B., 2011, Toward a Physical Internet: meeting the global logistics sustainability grand challenge, Logist. Res., 3 (2-3), https://doi.org/10.1007/s12159-011-0045-x
  • 12. Stoltz M. H., Giannikas V., McFarlane D., Strachan J., Um J., Srinivasan R., 2017, Augmented reality in warehouse operations: opportunities and barriers, IFAC-PapersOnLine, 50 (1) (2017), https://doi.org/10.1016/j.ifacol.2017.08.1807
  • 13. Uckelmann, D. A Definition Approach to Smart Logistics. In: Balandin S., Moltchanov D., Koucheryavy Y. (eds). 2008, Next Generation Teletraffic and Wired/Wireless Advanced Networking. NEW2AN 2008. Lecture Notes in Computer Science, vol 5174. Springer, Berlin, Heidelberg.
  • 14. van Geesta M., Tekinerdogana B., Catalb C., 2021, Design of a reference architecture for developing smart warehouses in industry 4.0, Computers in Industry, Volume 124, January 2021, 103343, https://doi.org/10.1016/j.compind.2020.103343
  • 15. Weiser, M., 1996, Open House. In: ITP Review, the web magazine of the Interactive Telecommunications Program of New York University, New York (1996)
  • 16. Zhong-Zhong J., Mingzhong W., Zhi P., Xuwei Q., 2021, Spatial and temporal optimization for smart warehouses with fast turnover, Computers & Operations Research, Volume 125, January 2021, https://doi.org/10.1016/j.cor.2020.105091
  • 17. Žunić E., Delalić S., Hodžić K., Beširević A., Hindija H., 2018 Smart warehouse management system concept with implementation, 14th Symposium on Neural Networks and Applications (NEUREL), IEEE November (2018), https://doi.org/10.1109/NEUREL.2018.8587004
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-27383b19-1e02-4e1b-97e1-60c8bcbcf05d
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