• Ahmed, A., Olsen, J., Page, J.: Integration of six sigma and simulations in real production factory to improve performance – a case study analysis. Inter. J. Lean Six Sigma14(2), 451–482 (2023).https://doi.org/10.1108/IJLSS-06-2021-0104

  Article  Google Scholar 

• Alizadehsalehi, S., Hadavi, A., Huang, J.C.: From BIM to extended reality in aEC industry. Autom. Constr.116, 103254 (2020).https://doi.org/10.1016/j.autcon.2020.103254

• Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., MacIntyre, B.: Recent advances in augmented reality. IEEE Comput. Graphics Appl.21(6), 34–47 (2001).https://doi.org/10.1109/38.963459

  Article  Google Scholar 

• Calì, M.: Smart Manufacturing technology. Appl. Sci.11(17), 8202 (2021).https://doi.org/10.3390/app11178202

  Article  Google Scholar 

• Chen, J.Y.C., Barnes, M.J.: Human–robot interaction. In: Salvendy, G.,  Karwowski, W. (eds.) Handbook of human factors and ergonomics, 1st ed., 1121–42. Wiley (2021).https://doi.org/10.1002/9781119636113.ch44

• Cho, M.H., Kamalraj, A.R., Duffy, V.G.: Literature review on human-automation interaction: relation between work from home and virtual environments. In: Kurosu, M., et al. (eds.) HCI International 2023 – Late Breaking Papers,  A14054:16–36. LNCS. Springer Nature Switzerland, Cham (2023).https://doi.org/10.1007/978-3-031-48038-6_2

• Cipresso, P., Giglioli, I.A.C., Raya, M.A., Riva, G.: The past, present, and future of virtual and augmented reality research: a network and cluster analysis of the literature. Front. Psychol.9, 2086 (2018).https://doi.org/10.3389/fpsyg.2018.02086

• Ding, K., Lei, J., Zhang, F., Wang, Y., Wang, C.: Analyzing the cyber-physical system-based autonomous collaborations among smart manufacturing resources in a smart shop floor. Proc. Instit. Mech. Eng. Part B: J. Eng. Manufact.234(3), 489–500 (2020).https://doi.org/10.1177/0954405419875340

  Article  Google Scholar 

• Extended Reality Affiliations Leading Table. https://www.webofscience.com/wos/woscc/analyze-results/84a9d977-f932-4e3f-9504-c2f1ffb4b8ff-b9de4bf9 (Accessed 7 December  2023)

• Extended Reality Author Leading Table. https://www.webofscience.com/wos/woscc/analyze-results/84a9d977-f932-4e3f-9504-c2f1ffb4b8ff-b9de4bf9 (Accessed 7 December,2023)

• Extended Reality Publications by Year. https://www.webofscience.com/wos/woscc/analyze-results/84a9d977-f932-4e3f-9504-c2f1ffb4b8ff-b9de4bf9 (Accessed 7 December 2023)

• Fahimnia, B., Sarkis, J., Davarzani, H.: Green supply chain management: a review and bibliometric analysis. Int. J. Prod. Econ.162, 101–114 (2015).https://doi.org/10.1016/j.ijpe.2015.01.003

  Article  Google Scholar 

• Fast-Berglund, Å., Gong, L., Li, D.: Testing and validating extended reality (xr) technologies in manufacturing. Proc. Manufact.25, 31–38 (2018).https://doi.org/10.1016/j.promfg.2018.06.054

  Article  Google Scholar 

• Flavián, C., Ibáñez-Sánchez, S., Orús, C.: The impact of virtual, augmented and mixed reality technologies on the customer experience. J. Bus. Res.100, 547–560 (2019).https://doi.org/10.1016/j.jbusres.2018.10.050

  Article  Google Scholar 

• Hwang, G., Lee, J., Park, J., Chang, T.-W.: Developing performance measurement system for internet of things and smart factory environment. Int. J. Prod. Res.55(9), 2590–2602 (2017).https://doi.org/10.1080/00207543.2016.1245883

  Article  Google Scholar 

• Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., Ivanova, M.: A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. Int. J. Prod. Res.54(2), 386–402 (2016).https://doi.org/10.1080/00207543.2014.999958

  Article  Google Scholar 

• Jensen, L., Konradsen, F.: A review of the use of virtual reality head-mounted displays in education and training. Educ. Inf. Technol.23(4), 1515–1529 (2018).https://doi.org/10.1007/s10639-017-9676-0

  Article  Google Scholar 

• Kosem, U., Markič, M., Zoran, A.G.: Automation of work processes and night work. Data6(6), 56 (2021).https://doi.org/10.3390/data6060056

  Article  Google Scholar 

• Kusiak, A.: Smart manufacturing. Int. J. Prod. Res.56(1–2), 508–517 (2018).https://doi.org/10.1080/00207543.2017.1351644

  Article  Google Scholar 

• Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng.6(4), 239–242 (2014).https://doi.org/10.1007/s12599-014-0334-4

  Article  Google Scholar 

• Lee, J., Bagheri, B., Kao, H.-A.: A Cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufact. Lett.3(January), 18–23 (2015).https://doi.org/10.1016/j.mfglet.2014.12.001

  Article  Google Scholar 

• Liu, L., Guo, F., Zou, Z., Duffy, V.G.: Application, development and future opportunities of collaborative robots (cobots) in manufacturing: a literature review. Inter. J. Hum. Comput. Interact.40(4), 915–932 (2024).https://doi.org/10.1080/10447318.2022.2041907

  Article  Google Scholar 

• Mittal, S.,  Khan, M.A.,  Wuest, T.: Smart manufacturing: characteristics and technologies. in: product lifecycle management for digital transformation of industries. In: Harik, R., Rivest, L., Bernard, A., Eynard, B.,  Bouras, A. (eds.), vol. 492, pp. 539–548. Springer International Publishing, Cham (2016).https://doi.org/10.1007/978-3-319-54660-5_48

• NSF Award Search: Award # 1954548 - NRI: INT: COLLAB: Manufacturing USA: Intelligent Human-Robot Collaboration for Smart Factory.https://www.nsf.gov/awardsearch/showAward?AWD_ID=1954548 (Accessed 6 December 2023)

• NSF Award Search: Award # 2302833 - Collaborative Research: An Extended Reality Factory Innovation for Adaptive Problem-Solving and Personalized Learning in Manufacturing Engineering. https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302833&HistoricalAwards=false (Accessed 6 December 2023)

• Otero-Varela, L.,  et al.: Extended reality as a training method for medical first responders in mass casualty incidents: a protocol for a systematic review. Muhammad Shahzad Aslam. PLOS ONE 18(3), e0282698 (2023).https://doi.org/10.1371/journal.pone.0282698

• Park, S.-M., Kim, Y.-G.: A Metaverse: taxonomy, components, applications, and open challenges. IEEE Access10, 4209–4251 (2022).https://doi.org/10.1109/ACCESS.2021.3140175

  Article  Google Scholar 

• Smart Factorty Publications by Year.https://www.webofscience.com/wos/woscc/analyze-results/f40e6cf5-824c-4f7e-bed1-f75b93b5abbb-b9de75c9 (Accessed 7 December  2023)

• Smart Factory Affiliations Leading Table. https://www.webofscience.com/wos/woscc/analyze-results/f40e6cf5-824c-4f7e-bed1-f75b93b5abbb-b9de75c9 (Accessed 7 December 2023)

• Smart Factory Author Leading Table.   https://www.webofscience.com/wos/woscc/analyze-results/f40e6cf5-824c-4f7e-bed1-f75b93b5abbb-b9de75c9 (Accessed 7 December 2023)

• Stanney, K.M., Nye, H., Haddad, S.,  Hale, K.S., Padron, C.K.,  Cohn, J.V.:. “Extended reality (xr) environments. In: Salvendy, G.,  Karwowski, W. (eds.) Handbook of Human Factors and Ergonomics, 5th ed., pp. 782–815. Wiley (2021).https://doi.org/10.1002/9781119636113.ch30

• Vadd, S., Kamarthi, S.V., Berry, N.M.: Smart sensors in a flow-line manufacturing system: an agent-based simulation. In: International Conference on Integration of Knowledge Intensive Multi-Agent Systems,  Westin Hotel, Waltham, MA, USA, pp. 635–40. IEEE (2005)..https://doi.org/10.1109/KIMAS.2005.1427158

• Yoon, H.: Opportunities and challenges of smartglass-assisted interactive telementoring. Appli. Syst. Innovat.4(3), 56 (2021).https://doi.org/10.3390/asi4030056

  Article  Google Scholar 

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