EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 576 (2024) E3S Web Conf., 576 (2024) 01002 References
Open Access
Issue
E3S Web Conf.
Volume 576, 2024
The 13th Engineering International Conference “Sustainable Development Through Green Engineering and Technology” (EIC 2024)
Article Number 01002
Number of page(s) 10
Section Energy Management System
DOI https://doi.org/10.1051/e3sconf/202457601002
Published online 03 October 2024
  1. J. Sun, H. Lee, J. Yang, The impact of the COVID-19 pandemic on the global value chain of the manufacturing industry. Sustainability. 13, 12370 (2021). https://doi.org/10.3390/su132212370 [CrossRef] [Google Scholar]
  2. P. Sharma, Impact of Covid-19 on purchasing patterns and consumer behavior. Int. J. of Innov. Sci. and Res. Tech. 5, 890–3 (2020) [Google Scholar]
  3. J. Müller, K. Hoberg, J.C. Fransoo, Realizing supply chain agility under time pressure: ad hoc supply chains during the COVID‐19 pandemic. J. of Op. Man. 69, 426–49 (2023). https://doi.org/10.1002/joom.1210 [Google Scholar]
  4. M. Javaid, A. Haleem, R.P. Singh, R. Suman, Enabling flexible manufacturing system (FMS) through the applications of industry 4.0 technologies. Int. of Things and CyberPhys. Systems. 2, 49–62 (2022). https://doi.org/10.1016/j.iotcps.2022.05.005 [CrossRef] [Google Scholar]
  5. M. Nicola, Z. Alsafi, C. Sohrabi, A. Kerwan, A. A.-Jabir, C. Iosifidis, et al. The socioeconomic implications of the coronavirus pandemic (COVID-19): a review. Int. J. of Sur. 78, 185–93 (2020). https://doi.org/10.1016/j.ijsu.2020.04.018 [CrossRef] [Google Scholar]
  6. W. Widyastuti, B.K. Kurniawan, M.N.R. Majid, Subjective well-being of the employee in manufacturing industry in pandemic covid-19. Psychosophia: J. of Psyc. Rel. and Human. 4, 36–45 (2022). https://doi.org/10.32923/psc.v4i1.1845 [Google Scholar]
  7. E.D. Indiarti, D.C. Lantu, The impact of agile leadership to business resilience in the face of the vuca era. Asian J. of Res. in Bus. and Man. 4, 559–67 (2022). https://doi.org/10.55057/ajrbm.2022.4.3.48 [Google Scholar]
  8. A. Sabah, L.A.A.-Kindi, Z.A.-Baldawi, Adopting value stream mapping as a lean tool to improve production performance. Eng. and Tech. J. 41, 1–14 (2023). http://doi.org/10.30684/etj.2023.136269.1307 [Google Scholar]
  9. A.A. Salameh, M. Ijaz, A.B. Omar, H.M.Z.U. Haq, Impact of online advertisement on customer satisfaction with the mediating effect of brand knowledge. Frontiers in Psyc. 13, 919656 (2022). https://doi.org/10.3389/fpsyg.2022.919656 [CrossRef] [Google Scholar]
  10. W. Wereda, N. Moch, P. Wereda, The customer service and building safe relationships between the enterprise and suppliers in VUCA times. Euro. Res. Stud. J. 26, 268–279 (2023) [CrossRef] [Google Scholar]
  11. S.V. Shet, A VUCA-ready workforce: exploring employee competencies and learning and development implications. Personnel Review. 53, 674–703 (2024) [CrossRef] [Google Scholar]
  12. B. Taskan, A.J.-Silva, A. Caetano, Clarifying the conceptual map of VUCA: a systematic review. Int. J. of Org. A. 30, 196–217 (2022). https://doi.org/10.1108/IJOA02-2022-3136 [CrossRef] [Google Scholar]
  13. N. Kumar, S.S. Hasan, K. Srivastava, R. Akhtar, R.K. Yadav, V.K. Choubey, Lean manufacturing techniques and its implementation: a review. in Proceedings of Materials Today: Proceedings. 64, 1188–92 (2022). https://doi.org/10.1016/j.matpr.2022.03.481 [CrossRef] [Google Scholar]
  14. G. Anoop, V.S. Muhammed, A brief overview on toyota production system (tps). Int. J. for Res. in Appl. Sci. and Eng. Tech. 8, 2505–9 (2020). http://doi.org/10.22214/ijraset.2020.5415 [CrossRef] [Google Scholar]
  15. P.Y. Dave, The history of lean manufacturing by the view of toyota-ford. Int. J. of Sci. & Eng. Res. 11, 1598–602 (2020) [Google Scholar]
  16. B. Mohanta, P. Nanda, S. Patnaik, Management of vuca (volatility, uncertainty, complexity and ambiguity) using machine learning techniques in industry 4.0 paradigm. New Par. of Ind. 40: Int. of T. B. D. & C. Phys. Sys., 1–24 (2020) [Google Scholar]
  17. A. Mofolasayo, S. Young, P. Martinez, R. Ahmad, How to adapt lean practices in smes to support industry 4.0 in manufacturing. Pro.Comp. Sci. 200, 934–43 (2022). https://doi.org/10.1016/j.procs.2022.01.291 [CrossRef] [Google Scholar]
  18. J. Reyes, J. Mula, M.D.-Madroñero, Development of a conceptual model for lean supply chain planning in industry 4.0: multidimensional analysis for operations management. Prod. Plan. & Cont. 34, 1209–24 (2023). https://doi.org/10.1080/09537287.2021.1993373 [CrossRef] [Google Scholar]
  19. A.P.W. CK, Y. Arkeman, A. Ratnawati, I. Fahmi, Change management model in the era of volatility, uncertainty, complexity and ambiguity (vuca) using scenario planning analysis. The Int. J. of Soc. Sci. W. (TIJOSSW). 4, 307–16 (2022). https://doi.org/10.5281/zenodo.7485139 [Google Scholar]
  20. A.F.-Paszkowska, A.U.-Gil, B.G.-Dzioboń, Business innovation and critical success factors in the era of digital transformation and turbulent times. J. of Ent. Man. and Innov. 17, 7–28 (2021). https://doi.org/10.7341/20211741 [Google Scholar]
  21. Y. Cohen, M. Faccio, F. Pilati, X. Yao, Design and management of digital manufacturing and assembly systems in the industry 4.0 era. The Int. J. of Adv. Manuf. Tech. 105, 3565–77 (2019). https://doi.org/10.1007/s00170-019-04595-0 [CrossRef] [Google Scholar]
  22. M.I. Ahmad, Y. Yusof, M.E. Daud, K. Latiff, A.Z.A. Kadir, Y. Saif, Machine monitoring system: a decade in review. The Int. J. of Adv. Manuf. Tech. 108, 3654–59 (2020). https://doi.org/10.1007/s00170-020-05620-3 [Google Scholar]
  23. C. Lange, P. Barthelmäs, T. Rosnitschek, S. Tremmel, F. Rieg, Impact of hpc and automated cfd simulation processes on virtual product development—a case study. App. Sci. 11, 6552 (2021). https://doi.org/10.3390/app11146552 [CrossRef] [Google Scholar]
  24. Syamil A, Subawa S, Budaya I, Munizu M, Darmayanti NL, Fahmi MA, et al., Manajemen Rantai Pasok, (PT. Sonpedia Publishing, Indonesia, 2023) [Google Scholar]
  25. George M.O., The lean six sigma guide to doing more with less: cut costs, reduce waste, and lower your overhead, (John Wiley & Sons, New Jersey, 2010) [Google Scholar]
  26. King P.L., Lean for the process industries: dealing with complexity, (Productivity Press, New York, 2019) [CrossRef] [Google Scholar]
  27. Brooks A., Clothing poverty: the hidden world of fast fashion and second-hand clothes, (Bloomsbury Publishing, London, 2019) [Google Scholar]
  28. Rushton A, Croucher P, Baker P., The handbook of logistics and distribution management: understanding the supply chain, (Kogan Page Publishers, 2022) [Google Scholar]
  29. S. Mankazana, S.C. Mukwakungu, The impact of just-in-time (jit) in inventory management system and the supplier overall performance of South African’s bed mattress manufacturing companies, in Proceedings of the International Conference on Industrial Engineering and Operations Management, Oktober-November 29-01 (2018) [Google Scholar]
  30. W. Virtanen, Implementing lean on quality and inspection process: case company a, Master Thesis, Finlandia, 2022 [Google Scholar]
  31. Z. Rao, The supply and demand shocks in central and eastern european countries during the covid-19 pandemic-a study in the automotive industry, 2022 [Google Scholar]
  32. R. Dhillon, Nguyen qc. strategies to respond to a vuca world, 2021 [Google Scholar]
  33. M. Bourne, Performance measurement and management in a vuca world. Taylor & Francis, 7311–6 (2021) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.