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2020 | 11 | nr 3 | 14--25
Tytuł artykułu

A Strategy Guidance Model to Realize Industrial digitalization in Production Companies

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The realization of digitalization in production companies - currently also referred to as Indus-try 4.0 - aims for reduction of internal value creation costs as well as costs for intercompanycollaboration and plays a key role in their current strategy development. However, relatedstrategy research still lacks to provide operationalized digitalization methods and tools topractitioners with scientific rigor as well as real-world relevance. To challenge this statusquo, we present a scientifically grounded 14-step procedure model including 11 practicallytested tools, developed specifically for real-world application. The model leads practitionersfrom their first contact with industrial digitalization, through the maturity assessment of143 digitalization items, until the implementation of a KPI-monitoring system and a continuous improvement process. We applied and reworked the procedure model during threeyears of application. Validation and Feedback from practitioners and scholars indicate, thatthe model drives strategy development towards objective and data-based decision makingand increases stakeholder engagement in organizations considerably.(original abstract)
Rocznik
Tom
11
Numer
Strony
14--25
Opis fizyczny
Twórcy
  • University of Technology Vienna, Austria
  • Fraunhofer Austria Research GmbH, Austria
Bibliografia
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  • European Commission DESI-Index, The Digtal Economy and Society Index (DESI), online https://ec.europa.eu/digital-single-market/en/desi, accessed on 21.09.2019.
  • Baller S., Dutta S., Lanvin B., The Global Information Technology Report 2016. Innovating in the Digital Economy, Montreal, QC, CA: World Economic Forum (Insight Report), 2016.
  • Katz R.L., Koutroumpis P., Measuring Socio- Economic Digitization: A Paradigm Shift, SSRN Journal, pp. 1-31, 2012.
  • Johnson D.S., Digitization of Selling Activity and Sales Force Performance: An Empirical Investigation, Journal of the Academy of Marketing Science, 33, 1, 3-18, 2005.
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  • Barnir A., Gallaugher J.M., Auger P., Business process digitization, strategy, and the impact of firm age and size: the case of the magazine publishing industry, Journal of Business Venturing, 18, 6, 789-814, 2003.
  • BMBF Germany, Future Strategy Report: Hightech- Strategy, Bonn-Berlin, 2012.
  • Kagermann H., Wahlster W., Helbig J., Securing the future of German manufacturing industry. Recommendations for implementing the strategic initiative Industrie 4.0, Finale Report of the Industrie 4.0 Working Group, Frankfurt-Main, 2013.
  • Hermann M., Pentek T., Otto B., Design Principles for Industrie 4.0 Scenarios, in: 49th Hawaii International Conference on System Sciences (HICSS), Koloa, USA, pp. 3928-3937, 2016.
  • Lu Y., Industry 4.0: A survey on technologies, applications and open research issues, Journal of Industrial Information Integration, 6, 1-10, 2017.
  • Erol S., Sihn W., Schumacher A., Strategic guidance towards Industry 4.0 - a three-stage process model, COMA 2016: Global Competitiveness Centre in Engineering - Stellenbosch University, 2016.
  • Schumacher A., Erol S., Sihn W., A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises, Procedia CIRP 52, pp. 161-166, 2016.
  • Schumacher A., Nemeth T., Sihn W., Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises, Procedia CIRP, 79, 409-414, 2019.
  • Schumacher A., Schumacher C., Sihn W., Industry 4.0 Operationalization Based on an Integrated Framework of Industrial Digitalization and Automation, [in:] Numan M. Durakbasa, M. Gunes Gencyilmaz [Eds]: Proceedings of the International Symposium for Production Research 2019, Bd. 70. Cham: Springer International Publishing, pp. 301310, 2019.
  • Schumacher A., Sihn W., Erol S., Automation, digitization and digitalization and their implications for manufacturing processes, Innovation and Sustainability Conference Bukarest, 2016.
  • Bogner E., Voelklein T., Schrodel O., Franke J., Study Based Analysis on the Current Digitalization Degree in the Manufacturing Industry in Germany, Procedia CIRP, vol. 57, pp. 14-19, 2016.
  • Fasth A., Stahre J., Dencker K., Measuring and analysing Levels of Automation in an assembly system, Manufacturing Systems and Technologies for the New Frontier, Mitsuishi M., Ueda K., Kimura F. [Eds], Springer London, pp. 169-172, 2008.
  • Lichtblau K., Stich V., Bertenrath R., Blum M., Bleider M., Millack A., Schmitt K., Schmitz E., Schroder M., IMPULS - Industrie 4-0-Readiness, Check, Aachen-Koln, 2015.
  • Jung K., Kulvatunyou B., Choi S., Brundage MP., An Overview of a Smart Manufacturing System Readiness Assessment, IFIP advances in information and communication technology, 488, 705-712, 2017.
  • Katz R.L., Koutroumpis P., Measuring digitization: A growth and welfare multiplier, Technovation, 33, 10-11, 314-319, 2013.
  • De Carolis A., Macchi M., Negri E., Terzi S., A Mturity Model for Assessing the Digital Readiness of Manufacturing Companies, [in:] Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, Loodding H., Riedel R., Thoben KD., von Cieminski G., Kiritsis D. [Eds], Springer International Publishing, Cham, pp. 13-20, 2017.
  • Ganzarain J., Errasti N., Three stage maturity model in SME's toward industry 4.0, Journal of Indus- trial Engineering and Management, 9, 5, 1119-1128, 2016.
  • Lenka S., Parida V., Wincent J., Digitalization capabilities as enablers of value co-creation in servitizing firms, Psychol. Mark., 34, 1, 92-100, 2017.
  • Santos C., Mehrsai A., Barros A.C., Araujo M., Ares E., Towards Industry 4.0: an overview of European strategic roadmaps, Procedia Manufacturing, 13, 972-979, 2017.
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  • Hevner A.R., Salvatore T., March P., Jinsoo R.S., Design science in information systems research, Management Information Systems Research Center, pp. 75-105, 2004.
  • Du Bruin T., Freeze R., Kulkarni U., Rosemann M., Understanding the main phases of developing a maturity assessment model, ACIS Proceedings, pp. 819, 2005.
  • Becker J., Knackstedt R., PoppelbuB J., Developing Maturity Models for IT Management: A Procedure Model and its Application, Business & Information Systems Engineering, 1, 3, 213-222, 2009.
  • Rother M., Shook J., Learning to See: value-stream mapping to create value and eliminate muda, Brookline, Massachusetts: Lean Enterprise Institut, 1999.
  • Seepersad CC., Pedersen K., Emblemsvag J., Bailey R., Allen J.K., Mistree F., The Validation Square: How Does One Verify and Validate a Design Method?, Decision Making in Engineering Design, Lewis K.E., Chen W., Schmidt L.C. [Eds], ASME Press, pp. 303-313, 2006.
  • Bhuiyan N., Baghel A., An overview of continuous improvement: from the past to the present, Management Decision, 43, 5, 761-771, 2005.
  • Kohlegger M., Maier R., Thalmann S., Understanding Maturity Models Results of a structured Content Analysis, presented at the I-KNOW '09 and I-SEMANTICS '09, Graz, Austria, 2009.
  • Schumacher A., Sihn W., Development of an Industry 4.0 Implementation Monitoring System using 145 developed Key Performance Indicators, [in:] Procedia CIRP, in press.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171601557

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