• 沒有找到結果。

Last but not least, the controlling of the implementation process is an important and crucial step to ensure the optimal development of the digitalization project. To guar-antee that the controlling process is working in the planned way, there are four steps that need to be taken via a certain cycle. The first step is to establish standards and methods for measuring the performance of the implementation process and status.

These standards and methods enable the company to quantify the actual status quo of the development to be able to derive further actions from them. The management needs such standards and methods because they give short and distinct information about the current situation without a deep and time consuming analysis for a quicker decision making process. Examples of such standards include sales numbers, produc-tion targets, usage or safety records. These standards and methods need to be devel-oped individually for the actual circumstances of the case company, Bender Tribünen.

The second step is to measure the performance in a regular cycle. It is important that the performance measures are done on a forward-looking basis to be able to detect changes in advance and to initiate reaction early enough. There is not a proper per-formance standard or method to be derived for every aspect because some aspects are hard to measure and to quantify. The third step is to determine if the performance matches the standards, which have been previously set. The last step is to take cor-rective actions in case the performance is not matching the standards and are nega-tively influencing the outcome of the project. In the event that the performance matches the standard, no corrective actions are necessary. Nevertheless, this control-ling process underlies a certain cycle and, therefore, is redone many times until the achievement of the objective or the final implementation of the Industry 4.0 technol-ogies in the case of Bender Tribünen (Gleich, Losbichler, Zierhofer, & Anders, 2016, p. 69).

The digitalization strategy should be a flexible plan, which adapts to the changing internal influences and external influences. A strategy needs to be reviewed in a pre-defined cycle, to change the vision of the company, to adjust objectives, to update the status quo of the company and to introduce new actions to the measure plan, so that the digitalization strategy is always up to date with the current situation of the organ-ization (Gleich, Losbichler, Zierhofer, & Anders, 2016, p. 72).

7 Conclusion

This master’s thesis entitled “Development of a Digitalization Strategy for a Medium Sized Company based on the Determination of its Digital Maturity according to an Industry 4.0 Readiness Model” pursued the goal of answering two main research questions. The first research question focused on the development of a comprehen-sive digitalization strategy for Bender Tribünen with the intent of establishing specif-ic objectives for the Industry 4.0 project, the status quo of the current implementation of Industry 4.0 in the organization, the development of action recommendations to achieve the set objectives and to set up a controlling process, which ensures the suc-cessful steering of the execution of the digitalization strategy.

The results show that for each dimension of Industry 4.0, there is certain improve-ment potential which contributes to a more digital, connected, information sharing and state of the art organization with regards to the ongoing movement of Industry 4.0 in today’s economic environment. The most important action recommendations for Bender Tribünen are: the continuous financial support and investment planning for the necessary Industry 4.0 technologies and processes, which will be introduced to the organization; the promotion of trainings and further education for the employ-ees to be able to deal with the new circumstances, which involve a new workplace design with Industry 4.0 technologies and the necessity for deeper understanding of IT systems and processes; the integration of innovation processes for a steady devel-opment of new ideas for every aspect of Industry 4.0 and the analysis of data-driven services to enlarge the product range and to be able to fulfill customer preferences and needs on a broader spectrum; the introduction of IT security systems to ensure a safe data storage and to prevent theft as well as corporate espionage; and the further development of overarching information sharing systems, which includes data ex-change within the company’s value-chain but also for the external data commutation along the horizontal supply-chain including customers, partners and suppliers. This guarantees a holistic approach of data collection, data analysis and customer centric decision taking processes.

The second research question was focused on the objective of demonstrating the strengths and weaknesses of two existing Industry 4.0 Readiness Models, the Impuls – Industry 4.0 Readiness Check and the Inlumia – Industry 4.0 Readiness Check.

After examining the strengths and weaknesses based on factors like usability,

integri-ty, design, validiintegri-ty, approach and clariintegri-ty, the Impuls – Industry 4.0 Readiness Check was determined to be the better analysis method and then functioned as the funda-mental analysis method to work out the status quo of Bender Tribünen in terms of Industry 4.0. The basic issues of both Readiness Checks are the generated results, which deliver a far too general set of recommendations for the tested companies to eventually derive an appropriate strategy for implementing Industry 4.0 technologies and processes. Also, the traceability of the evaluation rank of the tested company is not transparent enough to understand precisely which factors influence the level of each dimension. Nevertheless, the Industry 4.0 Readiness Checks provide an initial idea of the rough situation in which the company is currently in. With the help of further analysis methods to figure out the strengths, weaknesses, opportunities and threats of a company and a thorough strategic plan including a vision, objectives, status quo analysis, measure plan and controlling processes, the company is prepared for the step by step transformation into the fourth industrial revolution.

Bibliography

Akkasoglu, G. (2013). Dissertation: Methodik zur Konzeption und Applikation anwedungsspezifischer Reifegradmodelle unter Berücksichtigung der

Informationsunsicherheit. Nürnberg: Friedrich-Alexander-Universität Erlangen-Nürnberg.

Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & Mac Intyre, B. (2002). Recent Advances in Augmented Reaility. IEEE Computer Society.

Bartl, D. M. (2008). White Paper - Open Innovation! München: HYVE AG.

Bauer, P. D.-I., Schlund, D. S., Hämmerle, M., & Strölin, T. (2014). Industrie 4.0 - Eine Revoluttion der Arbeitsgestaltung. Stuttgart: Frauenhofer-Institut für

Arbeitswirtschaft und Organisation Stuttgart.

Bauernhansel, T. (2017). Die VIerte Industrielle Revolution - Der Weg in ein wertschaffendes Produkionsparadigma. Berlin: Springer Verlag.

Bauernhansel, T., Hompel, M., & Vogel-Heuser, B. (2014). Industrie 4.0 in Produktion, Automatisierung und Logistik - Anwednung, Technologien, Migration. Wiesbaden:

Springer Fachmedien.

Bechtold, J., Kern, A., Lauenstein, C., & Bernhofer, L. (2014). Industry 4.0 - The Capgemini Consulting View. Capgemini.

Bender, R. (2011). Bender Tribünen. Retrieved April 21, 2018, from Bender Tribünen:

http://www.bender-tribuenen.de/index.php/en/

Bettenhausen, D.-I. K., & Kowalewski, P.-D. (2013). Cyber-Physical-Systems: Chancen und Nutzen aus Sicht der Automation. Verein Deutscher Ingenieure e.V.VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).

Bhosle, G., Kumar, P., Griffin-Cryan, B., van Doesburg, R., Sparks, M. A., & Paton, A.

(2011). Global Supply Chain Control Towers - Achieving end-to-end Supply Chain Visibility . London: Capgemenini Consulting.

Chesbrough, H. W. (2002). Open Innovation - The New Imperative for Creating and Profiting from Technology. Boston: Harvard Business Review Press.

Conway, S. (1995). Informal boundary-spanning Communication inthe Innovation Process1.

An Empirical Study. Technology Analysis & Strategic Management.

Dengel, P. D. (2012). Semantische Technologien - Grundlagen - Konzepte - Anwendungen.

Heidelberg: Springer Verlag.

Diamond, J. (2005). Warum Gesellschaften überleben oder untergehen. Frankfurt: Fischer.

Dorst, W. (2015). Umsetzungsstrategie Industrie 4.0 - Ergebnisbericht der Plattform Industrie 4.0. BITKOM e.V.,VDMA e.V., ZWEI e.V.

Emmerich, D., Döbele, D.-I. M., Bauernhansel, U.-P.-I., Paulus-Rohmer, D., Schatz, A., &

Weskamp, M. (2015). Geschäftsmodell - Innovation durch Industrie 4.0 Chancen und Risiken für den Maschinen- und Anlagenbau. Stuttgart: Fraunhofer IPA.

Eversheim, W., & Schuh, G. (2015). Integrierte Produkt- und Prozessgestaltung. Springer Verlag.

Fache, D., Lange, U., & Gertz, V. (2014). Facing Innovation Challenges - How digital technologies can improve your innovation and lifecycle performance. Capgemini Consulting.

Gassmann, O., & Sutter, P. (2016). Digital Transformation im Unternehmen gestalten:

Geschäftsmodelle, Erfolgsfaktoren, Handlungsanweisungen, Fallstudien. München:

Hanser Verlag.

Gassmann, P. D., & Ellen, D. E. (2004). Towards a Theory of Open Innovation: Three Core Process Archetypes. Lissabon: Proceedings of the R&D Management Conference (RADMA).

Gassmann, P. D., & Enkel, D. E. (2006). Open Innovation - Die Öffnung des

Innovationsprozesses erhöht das Innovationspotenzial. Münster: Westfälische Wilhelms-Universität.

Gausemeier, J., Czaja, A., & Dülme, C. (2015). Innovationspotentiale auf dem Weg zu Industrie 4.0. Paderborn: Heinz Nixdorf Institut.

Givehchi, O., Trsek, H., & Jasperneite, J. (2013). Cloud computing for industrial automation systems - A comprehensive overview. Cagliari, Italy : 18th IEEE Conference on Emerging Technologies and Factory Automation (ETFA).

Gleich, R., Losbichler, H., Zierhofer, R., & Anders, P. (2016). Unternehmenssteuerung im Zeitalter von Industrie 4.0. Freiburg, München: Haufe Gruppe.

Göhner, P. D.-I. (2013). Agentensysteme in der Automatisierungstechnik. Heidelberg:

Springer Verlag.

Hahn, H.-W. (2005). Die Industrielle Revolution in Deutschland. München : Oldenbourg Wissenschaftsverlag.

Heyse, V., Erpenbeck, J., Ortmann, S., & Coester, S. (2018). Mittelstand 4.0 - eine digitale Herausforderung: Führung und Kompetenzentwicklung im Spanungsfeld des digitalen Wandels. Waxmann Verlag.

Hierzer, R. (2017). Prozessoptimierung 4.0: den digitalen Wandel als Chance nutzen.

Freiburg, München: Haufe Gruppe.

Hofmann, A. (2015). Big Data, Cloud und Industrie 4.0 - Potenziale und Risiken . Stuttgart:

Bechtle IT-Lösungen.

Jasperneite, J. (n.d.). Retrieved May 4, 2018, from Faunhofer IOSB - Smart Products:

https://www.iosb.fraunhofer.de/servlet/is/51321/

Jeske, T. (2016). Digitlaisierung und Industrie 4.0. Bergisch Gladbach: Joh. Heider Verlag.

Jodlbauer, H. (2018). Digitale Transformation der Wertschöpfung. Stuttgart: W.

Kohlhammer Verlag.

Kagermann, H., Anderl, R., Gausemeier, J., Schuh, G., & Wahlster, W. (2016). Industrie 4.0 im Globalen Kontext: Strategien der Zusammenarbeit mit internationalen Partnern.

München: Herbert Utz Verlag.

Kagermann, H., Wahlster, W., & Helbig, J. (2013). Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0. Frankfurt: acatech - Deutsche Akademie der Technikwissenschaften e.V.

Koch, V., Kuge, S., Geissbauer, D. R., & Schrauf, S. (2014). Industry 4.0 - Opportunities and Challenges of the industrial internet. PwC, Strategy&.

Lichtblau, K., Schützdeller, P., & Stich, V. (kein Datum). Impuls - Industrie 4.0 Readiness Check. Abgerufen am 28. April 2018 von https://www.industrie40-readiness.de/

Müller, B. (15. April 2015). Fraunhofer Gesellschaft. Abgerufen am 12. Mai 2018 von https://www.fraunhofer.de/de/publikationen/fraunhofer-magazin/weiter-vorn_2015/weitervorn_4-2015_Inhalt/weitervorn_4-15_18.html

Neugebauer, R., Rosenfeld, G., Kurz, A., & Meuer, A. (n.d.). Inlumia - Industrie 4.0.

Retrieved April 29, 2018, from http://inlumia.de/impressum/

Nolan, R. L. (1973). Managing the Computer Resource: A Stage Hypothesis.

Communications of the ACM, 399-405.

Nunes, M., Pereira, A., & Alves, A. (2017). Smart products development apporaches for Industry 4.0. Procedia Manufacturing(13), pp. 1215-1222.

Paul, H., & Wollny, V. (2014). Instrumente des strategischen Managements: Grundlagen und Anwendung. München: De Gruyter Oldenbourg.

Puget, J. (2014, March 24). The Analytics Maturity Model - IBM . Retrieved May 19, 2018, from IBM:

https://www.ibm.com/developerworks/community/blogs/jfp/entry/the_analytics_mat Rasch, M. (2015). PwC. Retrieved Mai 12, 2018, from

https://www.pwc.de/de/digitale-transformation.html

Reinhart, G. (2017). Handbuch Industrie 4.0: Geschäftsmodelle, Prozesse, Technik.

München: Hanser Verlag.

Schneider, G., Geiger, I. K., & Scheuring, J. (2008). Prozess- und Qualitätsmanagement:

Grundlagen der Prozessgestaltung und Qualitätsverbesserung. Compendio Bildungsmedien.

Schneider, U. (2015). Industrie 4.0 und die Sicherheit - Ist der Zug bereits abgefahren?

Trend Micro Deutschland GmbH.

Schwab, K., Pyka, P., & Schmidt, T. (2016). Die Vierte Industrielle Revolution. München:

Pantheon Verlag.

Schwenker, B. (2017). Gute Strategie - der Ungewissheit offensiv begegnen . Frankfurt, New York: Campus Verlag.

Seiter, M., Grünert, L., & Berlin, S. (2017). Betriebswirtschaftliche Aspekte von Industrie 4.0. Wiesbaden: Springer Gabler.

Seyffert, R. (1972). Wirtschaftslehre des Handels. Opladen: Westdeutscher Verlag Opladen.

Stöger, R. (2017). Strategieentwicklung für die Praxis navigieren, verändern und umsetzen.

Stuttgart: Schäffer-Poeschel Verlag.

Thomas, O. (2005). Das Modellverständnis in der Wirtschaftsinformatik: Historie,

Literaturanalyse und Begriffsexplikation. Institut für Wirtschaftsinformatik (IWi) im Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI).

Thomke, S. (2003). Experimentation matter: unlocking the potential of new technologies for innovation. Boston: Harvard Business School Press.

Tröger, K. (2013). Ökosystem aus Mensch, Maschine und Software. Retrieved Mai 4, 2018, from https://www.it-production.com/produktionsmanagement/ptc-partnernetzwerk-oekosystem/

Vogel-Heuser, B., Bayrak, G., & Frank, U. (2012). Forschungsfragen in

"Produktionsautomatisierung der Zukunft". München: acatech MATERIALEN.

Vyatkin, V. (2013). Software Engineering in Industrial Automation: State of the Art Review.

IEEE Transactions on Industrial Informatics.

Waidner, M., Backes, M., & Müller-Quade, J. (2013). Entwicklung sicherer Software durch Security by Design. Darmstadt: Fraunhofer Verlag.

Wischmann, S., Wangler, L., & Botthof, A. (2015). Industrie 4.0 Volks- und

betriebswirtschaftliche Faktoren für den Standort Deutschland. Bundesministerium für Wirtschaft und Energie (BMWi) Öffentlichkeitsarbeit.

Appendix

Appendix 1: Test results Impuls – Industry 4.0 Readiness Check

Appendix 2: Test results Inlumia – Industry 4.0

Statutory Declaration

I declare on oath that I completed this work on my own and that information which has been directly or indirectly taken from other sources has been noted as such.

Neither this, nor a similar work, has been published or presented to an examination committee.

Munich, 19.06.2018

Signature

_________________________

David-Maximilian Bender