Pengembangan Model Pengukuran Kesiapan Industri 4.0 Untuk Perusahaan Manufaktur di Indonesia
Abstract
Nowadays, manufacturing companies in Indonesia are facing a great challenge in Industry 4.0 era. Manufacturing companies perceive Industry 4.0 is complex and could disturb their business process with uncertainty in results by implementing it. In other side, manufacturing companies also have difficulty in assessing their readiness to start Industry 4.0 transformation process and fail to prepare strategies and action plans clearly. This research developed a measurement model of Industry 4.0 readiness with 2 aspects, 5 dimensions and 20 variables that could be used by manufacturing companies to asses their current state. The dimensions “Awareness” and “Leadership and Strategy” are used to measure company readiness in “Knowledge” aspect, while the dimensions “People and Culture”, “Technology” and “Operation” are used to measure company readiness in “Resources Capability” aspect. The result of the measurement categories the company in 4 level of readiness, i.e.: “Not Ready”, “Conditional Ready”, “Basic Readiness” and “Fully Ready”. This model has been tested and used to measure Industry 4.0 readiness for an electronic manufacturing company located in Jabodetabek and showed that the model is easy and practical to be used in a real manufacturing company.
Keywords: Industry 4.0, readiness measurement, readiness model, readiness index
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Alarcón F., Perez D. and Boza A. 2016. Using The Internet of Things in a Production
Planning Context. Brazilian Journal of Operations & Production Management, Vol.
(1), 72-76.
Basl J. 2017. Pilot Study of Readiness of Czech Companies to Implement the Principles of
Industry 4.0. Management and Production Engineering Review, Vol. 8(2), 3-8.
DFKI - German Research Center for Artificial Intelligence. 2011. From Industry 1.0 to
Industry 4.0.
Gökalp, E., Şener, U., and Eren, P., E. 2017. Development of an assessment model for
Industry 4.0: Industry 4.0-MM. International Conference on Software Process
Improvement and Capability Determination, Software Process Improvement and
Capability Determination.
Kagermann, H., Wahlster. W, Held, J., and Deutsche P.A., 2013, Recommendations for
implementing the strategic initiative INDUSTRIE 4.0, Final Rep. Ind. 4.0 WG. 82.
Kemenperin. 2017. Industri 4.0 Solusi Peningkatan Daya Saing Indonesia. Tersedia pada:
http://www.kemenperin.go.id/artikel/17432/Industri-4.0-Solusi-Peningkatan-DayaSaing-Indonesia, diakses pada: 19-01-2018.
Kohlegger, M., Maier, R. and Thalmann, S., 2009, Understanding Maturity Models Results
of a structured Content Analysis, presented at the IKNOW ’09 and I-SEMANTICS
’09, Graz, Austria.
Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K.,
Schmitz, E., and Schröter, M., 2015, IMPULS - Industrie 4.0-Readiness, ImpulsStiftung des VDMA, Aachen-Köln.
Maasouman M. A. and Demirli K. 2015. Assessment of Lean Maturity Level in
Manufacturing Cells/ IFAC-PapersOnLine, Vol. 48(3), 1876–1881.
Ngai E. W., Chau D. C. K., Poon J. K. L. and To C. K. M. 2013. Energy and Utility
Management Maturity Model for Sustainable Manufacturing Process. International
Journal of Production Economics, Vol. 146(2), 453–464.
Nick, G. and Pongrácz, F. 2016. How to measure industry 4.0 readiness of cities. Scientific
Proceedings I: International Scientific Conference Industry 4.0
Pigosso D. C. A., Rozenfeld H. and McAloone T. C. 2013. Ecodesign Maturity Model: a
Management Framework to Support Ecodesign Implementation into Manufacturing
Companies. Journal of Cleaner Production, Vol. 59, 160–173.
Pratt, D.D. 1998. Five Perspectives on Teaching in Adult and Higher Education. Malabar:
Krieger Publishing.
Pricewaterhouse Coopers, 2016, The Industry 4.0/Digital Operations Self Assessment.
Pricewaterhouse Coopers, 2016, Middle East Industry 4.0 Survey - Industry 4.0: Building
the Digital Industrial Enterprise.
Rockwell Automation, 2014, The Connected Enterprise Maturity Model.
Rojko A. 2017. Industry 4.0 Concept: Background and Overview. International Journal of
Interactive Mobile Technologies (iJIM), Vol. 11(5).
Roland Berger Strategy Consultants, 2014, INDUSTRY 4.0 – The new industrial
revolution.
Singapore Economic Development Board, 2017, The Singapore Smart Industry Readiness
Index.
Schuh G., Potente T., Varandani R. and Schmitz T. 2014. Global Footprint Design Based
on Genetic Algorithms – An Industry 4.0 Perspective. CIRP Annals - Manuf.
Technology, Vol. 63(1), 433–436.
Schumacher A., Erol S. dan Sihn W. 2016. A Maturity Model for Assessing Indutry 4.0
Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, Vol. 52,
-166.
The Manufacturer. 2016. The Manufacturer Industry 4.0 UK Readiness Report. Tersedia
PADA: https://www.themanufacturer.com/reports-whitepapers/the-manufacturerindustry-4-0-uk-readiness-report/, diakses pada: 19-01-2018.
Veza, I., Mladineo, M., dan Peko, I. 2015. Analysis of the current state of Croatian
manufacturing industry with regard to Industry 4.0, Conference Paper: 5th
International Scientific Conference on Production Engineering – CIM 2015 Zagreb.
Viharos, Z., J., Soós, S., Nick, G., Várgedő, T., and Beregi, R., 2017, Non-comparative,
Industry 4.0 readiness evaluation for manufacturing enterprises, Technical
Diagnostics in Cyber-Physical Era, 15th IMEKO TC10 Workshop on Technical
Diagnostics.
Wu C. 2004. A Readiness Model for Adopting Web Services. Journal of Enterprise
Information Management, Vol. 17(5), 361-371.
DOI: http://dx.doi.org/10.22441/pasti.2019.v13i2.001
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