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All issues Volume 179 (2020) E3S Web Conf., 179 (2020) 02023 References
Open Access
Issue
E3S Web Conf.
Volume 179, 2020
2020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
Article Number 02023
Number of page(s) 9
Section Environmental and Industrial Design
DOI https://doi.org/10.1051/e3sconf/202017902023
Published online 23 July 2020
  1. Schumacher, A., Erol, S. & Sihn, W. (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, 52, 161-166. [Google Scholar]
  2. De Carolis, A., Macchi, M., Kulvatunyou, B., Brundage, M.P. & Terzi, S. (2017) Maturity Models and Tools for Enabling Smart Manufacturing Systems: Comparison and Reflections for Future Developments. In: RíOS, J., BERNARD, A., BOURAS, A. & FOUFOU, S., eds. Product Lifecycle Management and the Industry of the Future, 2017// 2017 Cham. : Springer International Publishing, 23-35. [Google Scholar]
  3. Mittal, S., Khan, M.A., Romero, D. & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194-214. [Google Scholar]
  4. Mittal, S., Khan, M., Romero, D. & Wuest, T. (2017). Smart Manufacturing: Characteristics, Technologies and Enabling Factors. [Google Scholar]
  5. Yue, L., Niu, P., Fang, Y. & Han, Z. (2019). Towards a Smart Manufacturing Maturity Assessment Framework: A Socio-Technical Perspective. Journal of Physics: Conference Series, 1345, 042063. [Google Scholar]
  6. Avison, D., Bjørn-Andersen, N., Coakes, E., Davis, G.B., Earl, M.J., Elbanna, A., Fitzgerald, G., Galliers, R.D., Hirschheim, R., Iivari, J., Klein, H.K., Land, F., De Marco, M., Pettigrew, A.M., Porra, J., Stahl, B.C., Sørensen, C., Wood, B. & Wood-Harper, T. (2006). Enid Mumford: a tribute. Information Systems Journal, 16 (4), 343-382. [Google Scholar]
  7. Orlikowski, W.J. (2007). Sociomaterial Practices: Exploring Technology at Work. Organization Studies: An international multidisciplinary journal devoted to the Studies of organizations, organizing, and the organized in and between societies $V 28, (9), 1435-1448. [Google Scholar]
  8. Leonardi, P.M. (2012). Materiality, Sociomateriality, and Socio-Technical Systems: What Do These Terms Mean? How Are They Related? Do We Need Them? In: LEONARDI, P.M., NARDI, B.A. & KALLINIKOS, J. (eds.) Materiality and Organizing: Social Interaction in a Technological World. Oxford: Oxford University Press. [Google Scholar]
  9. Zhu, S. & Chen, T. (1996). A Survey on Multiobjective Comprehensive Assessment in Social Technology Systems. Systems Engineering, (04), 35-39. [Google Scholar]
  10. Zhou, H., Benton Jr, W.C., Schilling, D.A. & Milligan, G.W. (2011). Supply Chain Integration and the SCOR Model. Journal of Business Logistics, 32 (4), 332-344. [Google Scholar]
  11. Cavusoglu, T., Gulledge, T. & Kessler, T. (2001) Aligning the supply chain operations reference (SCOR) model with enterprise applications. PICMET ‘01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199), 29 July-2 Aug. 2001 2001. : , 462 vol.1. [Google Scholar]
  12. ANSI (2005). ANSI/ISA-95.00.03-2005 Enterprise-Control System Integration Part 3: Activity Models of Manufacturing Operations Management. [Google Scholar]

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