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1.Hidayatno, A., A.R. Destyanto, and C.A. Hulu, Industry 4.0 technology implementation impact to industrial sustainable energy in Indonesia: A model conceptualization. Energy Procedia, 2019. 156: p. 227-233. 2.Perindustrian, K., Making Indonesia 4.0. Kementerian Perindustrian, 2018. 3.Toma, S., NS (2007) IFIP International Federation for Information Processing. Advances in production management systems. 246: p. 387-395. 4.Shah, R. and P.T. Ward, Lean manufacturing: context, practice bundles, and performance. Journal of operations management, 2003. 21(2): p. 129-149. 5.Vinodh, S. and K. Vimal, Thirty criteria based leanness assessment using fuzzy logic approach. The International Journal of Advanced Manufacturing Technology, 2012. 60(9-12): p. 1185-1195. 6.Hodge, G.L., et al., Adapting lean manufacturing principles to the textile industry. Production Planning & Control, 2011. 22(3): p. 237-247. 7.Liker, J., The Toyota way: 14 management principles from the world's. New York, 2004. 8.Ohno, T., Toyota production system: beyond large-scale production. 1988: crc Press. 9.Abdulmalek, F.A. and J. Rajgopal, Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study. International Journal of production economics, 2007. 107(1): p. 223-236. 10.Vinodh, S. and S. Balaji, Fuzzy logic based leanness assessment and its decision support system. International Journal of Production Research, 2011. 49(13): p. 4027-4041. 11.Doolen, T.L. and M.E. Hacker, A review of lean assessment in organizations: an exploratory study of lean practices by electronics manufacturers. Journal of Manufacturing systems, 2005. 24(1): p. 55-67. 12.Gander, M.J. and K. Snyder, The journey toward lean manufacturing: applying the Kaizen blitz method to improving operations. International Business & Economics Research Journal (IBER), 2002. 1(11). 13.Nagasawa, T., et al., Accelerating clean energy through Industry 4. 0 Manufacturing the next revolution. 2017. 14.Kolberg, D. and D.J.I.-P. Zühlke, Lean automation enabled by industry 4.0 technologies. 2015. 48(3): p. 1870-1875. 15.Shahin, M., et al., Integration of Lean practices and Industry 4.0 technologies: smart manufacturing for next-generation enterprises. 2020: p. 1-10. 16.Wanke, P., C. Barros, and O.R.J.T.P. Nwaogbe, Assessing productive efficiency in Nigerian airports using Fuzzy-DEA. 2016. 49: p. 9-19. 17.Gupta, K., et al. Boosting global competitiveness in Indonesia: Is Industry 4.0 the answer? in Global Competitiveness: Business Transformation in the Digital Era: Proceedings of the First Economics and Business Competitiveness International Conference (EBCICON 2018), September 21-22, 2018, Bali, Indonesia. 2019. Routledge. 18.Kusdiyanti, H., M.N. Zanky, and A.P.J.K.S.S. Wati, Blended Learning for Augmented Reality to Increase Student Competitiveness the Filling Subject Toward Making Indonesia 4.0. 2020: p. 88–100-88–100. 19.Prasaja, D., et al. Synergy of green industry with industrial revolution 4.0 in Indonesia. in Global Competitiveness: Business Transformation in the Digital Era: Proceedings of the First Economics and Business Competitiveness International Conference (EBCICON 2018), September 21-22, 2018, Bali, Indonesia. 2019. Routledge. 20.Kusumadewi, S.J.Y.G.I., Analisis Desain Sistem Fuzzy Menggunakan Tool Box Matlab. 2002. 21.Septiani, W. and M. Marimin. Sistem Intelijen Prediksi dan Penilaian Kualitas Susu Pasteurisasi dengan Menggunakan Logika Fuzzy dan Jaringan Syaraf Tiruan. in Seminar Nasional Aplikasi Teknologi Informasi (SNATI). 2005. 22.Lin, M.-I., Y.-D. Lee, and T.-N. Ho, Applying integrated DEA/AHP to evaluate the economic performance of local governments in China. European Journal of Operational Research, 2011. 209(2): p. 129-140. 23.Charnes, A., W.W. Cooper, and E. Rhodes, Measuring the efficiency of decision making units. European journal of operational research, 1978. 2(6): p. 429-444. 24.Banker, R.D., A. Charnes, and W.W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 1984. 30(9): p. 1078-1092. 25.Ramanathan, R., Evaluating the comparative performance of countries of the Middle East and North Africa: A DEA application. Socio-Economic Planning Sciences, 2006. 40(2): p. 156-167. 26.do Carmo, E.G.D., G.B.J.C.M.i.A.M. Alvarez, and Engineering, A new stabilized finite element formulation for scalar convection–diffusion problems: the streamline and approximate upwind/Petrov–Galerkin method. 2003. 192(31-32): p. 3379-3396. 27.Chen, T. and Y.C. Lin, Feasibility evaluation and optimization of a smart manufacturing system based on 3D printing: a review. International Journal of Intelligent Systems, 2017. 32(4): p. 394-413. 28.Mrugalska, B. and M.K. Wyrwicka, Towards lean production in industry 4.0. Procedia engineering, 2017. 182: p. 466-473. 29.Sanders, A., C. Elangeswaran, and J.P. Wulfsberg, Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management (JIEM), 2016. 9(3): p. 811-833. 30.Wagner, T., C. Herrmann, and S. Thiede, Industry 4.0 impacts on lean production systems. Procedia Cirp, 2017. 63: p. 125-131. 31.D’Orazio, L., R. Messina, and M.M.J.A.S. Schiraldi, Industry 4.0 and World Class Manufacturing Integration: 100 Technologies for a WCM-I4. 0 Matrix. 2020. 10(14): p. 4942. 32.Satoglu, S., et al., Lean transformation integrated with Industry 4.0 implementation methodology, in Industrial Engineering in the Industry 4.0 Era. 2018, Springer. p. 97-107. 33.Karre, H., et al., Transition towards an Industry 4.0 state of the LeanLab at Graz University of Technology. Procedia manufacturing, 2017. 9: p. 206-213. 34.Ma, J., Q. Wang, and Z. Zhao, SLAE–CPS: Smart lean automation engine enabled by cyber-physical systems technologies. Sensors, 2017. 17(7): p. 1500. 35.Krishnaiyer, K. and F.F. Chen, A cloud-based Kanban decision support system for resource scheduling & management. Procedia manufacturing, 2017. 11: p. 1489-1494. 36.Krishnaiyer, K., F.F. Chen, and H. Bouzary, Cloud Kanban Framework for Service Operations Management. Procedia Manufacturing, 2018. 17: p. 531-538. 37.Hambach, J., K. Kümmel, and J. Metternich, Development of a digital continuous improvement system for production. Procedia CIRP, 2017. 63: p. 330-335. 38.Meudt, T., J. Metternich, and E. Abele, Value stream mapping 4.0: Holistic examination of value stream and information logistics in production. CIRP Annals, 2017. 66(1): p. 413-416. 39.Kolberg, D., J. Knobloch, and D. Zühlke, Towards a lean automation interface for workstations. International Journal of Production Research, 2017. 55(10): p. 2845-2856. 40.Dave, B., et al., Opportunities for enhanced lean construction management using Internet of Things standards. Automation in construction, 2016. 61: p. 86-97.
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