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A strategy guidance model to realize industrial digitalization in production companies

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Języki publikacji
EN
Abstrakty
EN
The realization of digitalization in production companies – currently also referred to as Industry 4.0 – aims for reduction of internal value creation costs as well as costs for intercompany collaboration and plays a key role in their current strategy development. However, related strategy research still lacks to provide operationalized digitalization methods and tools to practitioners with scientific rigor as well as real-world relevance. To challenge this status quo, we present a scientifically grounded 14-step procedure model including 11 practically tested tools, developed specifically for real-world application. The model leads practitioners from their first contact with industrial digitalization, through the maturity assessment of 143 digitalization items, until the implementation of a KPI-monitoring system and a continuous improvement process. We applied and re-worked the procedure model during three years of application. Validation and Feedback from practitioners and scholars indicate, that the model drives strategy development towards objective and data-based decision making and increases stakeholder engagement in organizations considerably.
Twórcy
  • Fraunhofer Austria Research GmbH, Dept. Advanced Industrial Management, Theresianumgasse 7, 1040 Vienna, Austria
  • Fraunhofer Austria Research GmbH, Austria
  • University of Technology Vienna, Austria
  • Fraunhofer Austria Research GmbH, Austria
Bibliografia
  • [1] United Nations, UN Digital Economy Report: Digital Economy Report 2019 – Value Creation and Capture: Implications for Developing Countries, New York: United Nations Publications, 2019.
  • [2] Zawadzki P., Żywicki K., Smart product design and production control for effective mass customization in the Industry 4.0 concept, Management and Production Engineering Review, 7, 3, 105–112, 2016.
  • [3] European Commission DESI-Index, The Digital Economy and Society Index (DESI), online https://ec.europa.eu/digital-single-market/en/desi, accessed on 21.09.2019.
  • [4] 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.
  • [5] Katz R.L., Koutroumpis P., Measuring SocioEconomic Digitization: A Paradigm Shift, SSRN Journal, pp. 1–31, 2012.
  • [6] 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.
  • [7] Kłos S., Patalas-Maliszewska J., The Impact of ERP on Maintenance Management, Management and Production Engineering Review, 4, 3, 15–25, 2013.
  • [8] 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.
  • [9] BMBF Germany, Future Strategy Report: HightechStrategy, Bonn-Berlin, 2012.
  • [10] 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.
  • [11] 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.
  • [12] Lu Y., Industry 4.0: A survey on technologies, applications and open research issues, Journal of Industrial Information Integration, 6, 1–10, 2017.
  • [13] 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.
  • [14] 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.
  • [15] 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.
  • [16] 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. Güneş Gençyılmaz [Eds]: Proceedings of the International Symposium for Production Research 2019, Bd. 70. Cham: Springer International Publishing, pp. 301– 310, 2019.
  • [17] Schumacher A., Sihn W., Erol S., Automation, digitization and digitalization and their implications for manufacturing processes, Innovation and Sustainability Conference Bukarest, 2016.
  • [18] Bogner E., Voelklein T., Schrödel 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.
  • [19] Fasth Å., 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.
  • [20] Lichtblau K., Stich V., Bertenrath R., Blum M., Bleider M., Millack A., Schmitt K., Schmitz E., Schröder M., IMPULS – Industrie 4.0-Readiness, Check, Aachen-Köln, 2015.
  • [21] 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.
  • [22] Katz R.L., Koutroumpis P., Measuring digitization: A growth and welfare multiplier, Technovation, 33, 10–11, 314–319, 2013.
  • [23] De Carolis A., Macchi M., Negri E., Terzi S., A Maturity Model for Assessing the Digital Readiness of Manufacturing Companies, [in:] Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, L¨odding H., Riedel R., Thoben KD., von Cieminski G., Kiritsis D. [Eds], Springer International Publishing, Cham, pp. 13–20, 2017.
  • [24] Ganzarain J., Errasti N., Three stage maturity model in SME’s toward industry 4.0, Journal of Industrial Engineering and Management, 9, 5, 1119–1128, 2016.
  • [25] Lenka S., Parida V., Wincent J., Digitalization capabilities as enablers of value co-creation in servitizing firms, Psychol. Mark., 34, 1, 92–100, 2017.
  • [26] Santos C., Mehrsai A., Barros A.C., Araújo M., Ares E., Towards Industry 4.0: an overview of European strategic roadmaps, Procedia Manufacturing, 13, 972–979, 2017.
  • [27] Ghobakhloo M., The future of manufacturing industry: a strategic roadmap toward Industry 4.0, Journal of Manufacturing Technology Management, 29, 6, 910–936, 2018.
  • [28] 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.
  • [29] Du Bruin T., Freeze R., Kulkarni U., Rosemann M., Understanding the main phases of developing a maturity assessment model, ACIS Proceedings, pp. 8– 19, 2005.
  • [30] Becker J., Knackstedt R., P¨oppelbuß J., Developing Maturity Models for IT Management: A Procedure Model and its Application, Business & Information Systems Engineering, 1, 3, 213–222, 2009.
  • [31] Rother M., Shook J., Learning to See: value-stream mapping to create value and eliminate muda, Brookline, Massachusetts: Lean Enterprise Institut, 1999.
  • [32] 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.
  • [33] Bhuiyan N., Baghel A., An overview of continuous improvement: from the past to the present, Management Decision, 43, 5, 761–771, 2005.
  • [34] 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.
  • [35] 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
Identyfikator YADDA
bwmeta1.element.baztech-d40be347-f3cd-4fd0-8849-91e2cdcddbcf
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