Pengembangan Model Pengukuran Kesiapan Industri 4.0 Untuk Perusahaan Manufaktur di Indonesia

Hauw Sen Rimo Tan, Aditya Andhika, Francisca Dini Ariyanti, Khristian Edi Nugroho Soebandrija

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 


Keywords


Industry 4.0; readiness measurement; readiness model; readiness index

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References


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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