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Forecasting the Development of RFID Technology

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Języki publikacji
EN
Abstrakty
EN
Industry 4.0 (I4) as a concept offers powerful opportunities for many businesses. The set of Industry 4.0 technologies is still discussed, and boundaries are not perfectly clear. However, implementation of Industry 4.0 concept becomes strategic principle, and necessary condition for succeeding on turbulent markets. Radio Frequency Identification (RFID) was used before I4 emerged. However, it should be treated as its important part and even enabler. The question arises how adoption of RFID was impacted by I4 paradigm. Therefore, to answer this question a set of technology management tools was selected and applied to forecast RFID potential development in forthcoming years. Moreover, case studies were conducted for technology management tools and their applications for RFID for qualitative discussion of its relevance. It aimed to prove that existing toolset should be applied for modern technologies related to I4. Tools were proven to be necessary and successful. However, some specific challenges were observed and discussed.
Twórcy
  • Warsaw University of Technology, Institute of Production Systems Organization, Warsaw, Poland
  • University of Applied Science and Arts of Southern Switzerland, Department of Innovative Technologies
  • University of Applied Science and Arts of Southern Switzerland, Department of Innovative Technologies
Bibliografia
  • Badawy, A.M. (2009). Technology management simply defined: A tweet plus two characters, Journal of Engineering and Technology Management, 26, 4, 219–224, doi: 10.1016/j.jengtecman.2009.11.001.
  • Bass, F.M. (1969). A New Product Growth for Model Consumer Durables, Management Science, 15, 5, 215–227.
  • BCG, “Industry 4.0”, Industry 4.0, 2020. https://www.bcg.com/pl-pl/capabilities/manufactu ring/industry-4.0 (accessed Dec. 25, 2020).
  • Cetindamar, D., Phaal, R. and Probert, D. (2009). Understanding technology management as a dynamic capability: A framework for technology management activities, Technovation, 29, 4,237–246, doi: 10.1016/j.technovation.2008.10.004.
  • Cushman and Wakefield (2020). Marketbeat Poland. Industrial Q3 2020, Cushman&Wakefield, Online (www.industrial.pl).
  • Dalenogare, L.S., Benitez, G.B., Ayala, N.F. and Frank, A.G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance, International Journal of Production Economics, October, 204, 383–394, doi: 10.1016/j.ijpe.2018.08.019.
  • Directive 1999/92/EC, Directive of the European Parliament and of the Council of 16 December 1999 on minimum requirements for improving the safety and health protection of workers potentially at risk from explosive atmospheres (15th individual Directive within the meaning of Article 16(1) of Directive 89/391/EEC), vol. OJ L.
  • Directive 2014/34/EU, Directive of the European Parliament and of the Council of 26 February 2014 on the harmonisation of the laws of the Member States relating to equipment and protective systems intended for use in potentially explosive atmospheres, vol. OJ L.
  • Ejsmont, K., Gladysz, B., Corti, D., Castańo, F., Mohammed W.M., and Lastra, J.L.M. (2020a). Towards ‘Lean Industry 4.0’ – Current trends and future perspectives, Cogent Business & Management, 7, , Jan., p. 1781995, doi: 10.1080/23311975.2020.1781995.
  • Ejsmont, K., Gladysz, B., and Kluczek, A. (2020b). Impact of Industry 4.0 on Sustainability – Bibliometric Literature Review, Sustainability, 12, 14, Art. no. 14, January, doi: 10.3390/su12145650.
  • Ejsmont, K. and Gładysz, B. (2020). Lean Industry 4.0 – Wastes Versus Technology Framework, in The 10th International Conference on Engineering, Project, and Production Management, Singapore, pp. 537– 546, doi: 10.1007/978-981-15-1910-9_44.
  • Gladysz, B. and Santarek, K. (2014). Fuzzy TOPSIS/ SCOR-Based Approach in Assessment of RFID Technology (ART) for Logistics of Manufacturing Companies, in Logistics Operations, Supply Chain Management and Sustainability, P. Golinska, Ed. Cham: Springer International Publishing, pp. 129–141, doi: 10.1007/978-3-319-07287-6_9.
  • Gladysz, B. (2015). An Assessment of RFID Applications in Manufacturing Companies, Management and Production Engineering Review, 6, 4, 33–42, doi: 10.1515/mper-2015-0034.
  • Gladysz, B., Grabia, M. and Santarek, K. (2017). RFID from concept to implementation (in Polish: RFID od koncepcji do wdrożenia), Warsaw, Poland: PWN.
  • Gladysz, B. and Santarek, K. (2017). An approach to RTLS selection, DEStech Transactions on Engineering and Technology Research, doi: 10.12783/dtetr/icpr2017/17576.
  • Gladysz B. and Buczacki A. (2018). Wireless Technologies for Lean Manufacturing – A Literature Review, Management and Production Engineering Review, 9, 4, 20–34, doi: 10.24425/119543.
  • Gladysz, B. and Kluczek, A. (2019). An Indicators Framework for Sustainability Assessment of RFID Systems in Manufacturing, in Lecture Notes in Mechanical Engineering, pp. 274–286, doi: 10.1007/978-3-030-18715-6_23.
  • Gladysz, B., Ejsmont, K., Kluczek, A., Corti, D. and Marciniak, S. (2020). A Method for an Integrated Sustainability Assessment of RFID Technology, Resources, 9, 9, Art. no. 9, doi: 10.3390/resources9090107.
  • Kagermann, H., Lukas, W.-D. and Wahlster, W. (2011). Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution, VDI nachrichten, 13, 1.
  • Klincewicz, K. and Manikowski, A. (2013). Assessment, ranking and slection of technology (in Polish: Ocena, rankingowanie i selekcja technologii). Warsaw, Poland: WWZ.
  • Majeed, A.A. and Rupasinghe, T.D. (2017). Internet of Things (IoT) Embedded Future Supply Chains for Industry 4.0: An Assessment from an ERP-based Fashion Apparel and Footwear Industry, International Journal of Supply Chain Management, 6, 1, Art. no. 1, March.
  • Muhuri, P.K., Shukla, A.K. and Abraham, A. (2019). Industry 4.0: A bibliometric analysis and detailed overview. Engineering Applications of Artificial Intelligence, February, 78, 218–235, doi: 10.1016/j.engappai.2018.11.007.
  • Nascimento D.L.M. et al. (2019). Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context: A business model proposal, Journal of Manufacturing Technology Management, January, 30, 3, 607–627, doi: 10.1108/JMTM03-2018-0071.
  • Öztemel, E. and Gursev, S. (2020). Literature review of Industry 4.0 and related technologies, J. Intell. Manuf., doi: 10.1007/S10845-018-1433-8.
  • Phaal, R., Farrukh, C.J.P. and Probert, D.R. (2006). Technology management tools: concept, development and application, Technovation, 3, 26, 336–344. doi: 10.1016/j.technovation.2005.02.001.
  • Reichmann, T. (2006). Controlling mit Kennzahlen und Management-Tools, Die systemgestützte ControllingKonzeption, vol. 7.
  • Roper, A.T., Cunningham, S.W., Mason, T.W., Porter, A.L., Banks, J. and Rossini, F.A. (2011). Forecasting and management of technology, Hoboken (NJ), USA: Wiley Online Library.
  • Santarek, K. and Gladysz, B. (2014). Strategic assessment of RFID implementation effects (in Polish: Ocena strategiczna efektów wdrożenia RFID), in Innowations in Management and Production Engineering (in Polish: Innowacje w zarządzaniu i inżynierii produkcji), Opole, Poland: Polskie Towarzystwo Zarządzania Produkcją, pp. 191–202.
  • Tarasov, I.V. (2018). Industry 4.0: Technologies and their impact on productivity of industrial companies, Strategic decisions and risk management, July, https://www.jsdrm.ru/jour/article/view/772 (accessed Dec. 25, 2020).
Uwagi
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-bfea12c7-e60d-4c2f-8302-d84481d4fc4d
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