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dc.contributor.authorMuizzullah, Risma Fattahatin
dc.contributor.authorKomarudin, K
dc.contributor.authorHidayatno, Akhmad
dc.date.accessioned2020-01-21T06:31:15Z
dc.date.available2020-01-21T06:31:15Z
dc.date.issued2019
dc.identifier.citationLiao, Y., Loures, E. R., Deschamps, F., Brezinski, G., & Venâncio, A. (2017). The impact of the fourth industrial Revolution: a cross-country/region comparison. Production, 28, e20180061. DOI: 10.1590/0103-6513.20180061. Andreja Rojko (2017). Industry 4.0 Concept : Background and Overview. iJIM – Vol. 11, No. 5, 2017. Ministry of Industry Republic (MOI) of Indonesia (2018). Achievement of the Industrial Sector Performance 2014-2017. Central Bureau of Statistics Republic of Indonesia (2017). Economic Census 2016. Ministry of Industry Republic Indonesia (2018). Making Indonesia 4.0. Mohd Aiman Kamarul Bahrin. Mohd Fauzi Othman. Nor Hayati Nor Azli. Muhamad Farihin Talib (2016). Industry 4.0 : A review on industrial automation and robotic. Jurnal Teknologi (Sciences & Engineering) 78: 6-13 (2016) 137–143, 2016. J. M. Muller, Oana Buliga, K. Voight. Fortune Favors The Prepared : How SME Approach Business Model Innovations in Industry 4.0. Technological Forecasting & Social Change 132 2-17, 2018. R. Mohrar, H. Arman, S. Mousa (2017). The Fourth Industrial Revolution (Industry 4.0) : A Social Innovation Prespective. Technology Management Review November 2017(Vol7, issue 11). Shahroom, A. A., & Hussin, N. (2018). Industrial Revolution 4.0 and Education. International Journal of Academic Research in Business and Social Sciences, 8(9), 314–319. C. Ciminil, G. Pezzotta, R. Pinto, S. Cavalieri (2018). Industry 4.0 Tehcnologies impacts in the manufacturing Supply chain Landscape : An Overview. SOHOMA 2018, SCI 803, pp. 109– 120, 2019. https://doi.org/10.1007/978-3-030-03003-2_8. Arnold, C., Kiel, D., Voigt, K.-I (2016). How Industry 4.0 changes business models in different manufacturing industries. In: ISPIM Innovation Symposium. p. 1. The International Society for Professional Innovation Management (ISPIM) Kagermann, H., Helbig, J., Hellinger, A., Wahlster, W (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Ministry of Industry Republic of Indonesia (2017). IKM Dalam Angka 2017. Ogbuokiri, B.O.(MSc.), Udanor C.N. (PhD), Agu, M.N. (PhD). (2015) Implementing bigdata analytics for small and medium enterprise (SME) regional growth. e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 6, Ver. IV (Nov – Dec. 2015), PP 35-43. Rose, A.M.N., Deros, B.Md., Rahman, M.N.Ab. & Nordin, N (2011). Lean manufacturing best practices in SMEs. Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, January 22 – 24, 2011 Anthony, J. and Kumar, M.. (2005). Six sigma in small and medium sized UK manufacturing enterprises. Int.journal of Quality and Reliability Management, 22(8), 60-874 Ho, Thi Phuong Dung, (2018). Using system dynamics approach to examine the impact of ERP and Lean on manufacturing performance. Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France, July 26-27, 2018 Hasan Hosseini-Nasab, Mohammad Dehghani, and Amin Hosseini-Nasab (2013). Analysis of Technology effectiveness of Lean Manufacturing Using System Dynamics. Hindawi Publishing Corporation ISRN Industrial Engineering Volume 2013, Article ID 237402, 10 pages Prahasta, Eddy (2018). System Thinking dan Pemodelan Sistem Dinamis. Bandung. Penerbit Informatika Walker E. Warren (2000). Policy Analysis : A Systematic Approach to Supporting Policymaking in the Public Sector. Journal of Multi-Criteria Decision Analysis 11-27. Ghaffarzadegan, Navid. Lyneis, John. Richardson George P (2010). How small system dynamics models can help the public policy process. System Dynamics Review vol 27, No 1 (January– March 2011): 22–44 W. A. . Thissen and W. E. Walker (2013). Public Policy Analysis: New Developments. International Series in Operations Research & Management Science. J. D. Sterman (2000), Business Dynamics: System Thinking and Modeling for a Complex World. McGraw-Hill.id_ID
dc.identifier.issn2615-1588
dc.identifier.urihttp://hdl.handle.net/11617/11813
dc.description.abstractPurpose: Making a conceptual model that can provide the policy strategy in accelerating the adoption of industry 4.0 in Small and Medium Industries (SMI) using lean manufacturing approach. Methodology: Using the conceptualization process in system dynamics methodology to get causal relation among the factors which can affect the implementation of industry 4.0 in Small and Medium Industries. The lean management approach was used to get these factors and compile their causal relation with readiness of industry 4.0 as a conceptual model. Result: A conceptual model that shows important variables and its relationship structure that could be used in better understanding the adoption proceeses of Industry 4.0 technology. Several interconnection loops are identified in the conceptual model that can be the basis for better policy design by focusing on adjusting one or more variables in the loops, in the manner of understand the relationships that occur in the conceptual model, the government can predict the outcome of the policy to be implemented. Applications/Originality/Value: Providing a better understanding of adoption process for better policymaking by the Indonesian government, particularly the Ministry of Industry, to encourage the readiness of industry 4.0 implementation in Small and Medium Industries.id_ID
dc.language.isootherid_ID
dc.publisherISETH 2019 (International Summit on Science, Technology, and Humanity)id_ID
dc.titleConceptual Model of Accelerating the Adoption of Small and Medium Industries in Implementing Industry 4.0 with the Lean Manufacturing Approachid_ID
dc.typeArticleid_ID


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