Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

4. Digital Manufacturing and the Transformation of the Automotive Industry

verfasst von : Aldo Geuna, Marco Guerzoni, Massimiliano Nuccio, Fabio Pammolli, Armando Rungi

Erschienen in: Resilience and Digital Disruption

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This chapter explores the main markets for the production and use of robots and 3D printing technologies and presents a comparative analysis of the core robotics and 3D printing competence in the major world digital manufacturing sectors. We focus specifically on Piemonte and its efforts to develop CPS in the automotive sector, a traditional key driver of Italian industrial development. Particular attention is paid to the role of collaborative robots compared to the more traditional manufacturing robots already used heavily in automotive production.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Participation in Global Supply Chains and the Offshorability of Italian Jobs
Nächstes Kapitel The Way Ahead Towards Advanced Automation: Policy Implication for Core Italian Manufacturing Regions
Fußnoten
1
The employment of co-bots in industrial applications, particularly in the automotive sector, will be explored in the later sections.
 
2
FX rate on December 31, 2015 (date of report publication) was 1 USD = 0.91522 EUR (via exchange-rates.​org)
 
3
To be discussed in the succeeding sections.
 
4
FX rate on 13 January, 2017 (date of report publication) was 1 USD = 0.93964 EUR (via exchange-rates.​org)
 
5
NEDO expects the RoboTech sector to grow 20% annually in the next 5 years.
 
6
Selected current Japanese robot projects are listed in Table 4.3.
 
7
FX rate on 10 February 2015 (publication date) was 1 USD = 119.32 JPY; 1 USD = 0.88382 EUR (via exchange-rates.​org)
 
8
FX rate on 18 February 2016 (publication date) was 1 USD = 113.32 JPY; 1 USD = 0.88643 EUR (via exchange-rates.​org)
 
9
A more comprehensive list of Japanese robotics suppliers is available in Appendix C.
 
10
OEMs are often the original producers of vehicle components.
 
11
FX rate on 13 January 2017 (date of report publication) was 1 GBP = 1.1733 EUR (via exchangerates.​org.​uk)
 
12
Troy Jensen, 3D printing: A model of the future, PiperJaffray, March 2013.
 
13
Ford Media Centre, ‘Ford’s 3D-printed auto parts save millions, boost quality’, in Deloitte (2014).
 
14
These sensibilities were incorporated into a production system called the Toyota Production System, which was adopted by most Japanese carmakers.
 
15
Tier 1 companies are often regarded as the largest or the most technically capable companies in the OEM’s supply chain. They often develop close working and business relationships with OEMs (via Investopedia.​com and chron.​com)
 
Literatur
Ahmadjian, C. L., & Lincoln, J. R. (2001). Keiretsu, governance, and learning: Case studies in change from the Japanese automotive industry. Organization Science, 12(6), 683–701.
Albu-Schäffer, A., Haddadin, S., Ott, C., Stemmer, A., Wimböck, T., & Hirzinger, G. (2007). The DLR lightweight robot: Design and control concepts for robots in human environments. Industrial Robot, 34(5), 376–385.
Angerer, S., Strassmair, C., Staehr, M., Roettenbacher, M., & Robertson, N. M. (2012, April). Give me a hand—The potential of mobile assistive robots in automotive logistics and assembly applications. In Technologies for Practical Robot Applications (TePRA), 2012 IEEE International Conference on (pp. 111–116). IEEE.
Babiceanu, R. F., & Chen, F. F. (2006). Development and applications of holonic manufacturing systems: A survey. Journal of Intelligent Manufacturing, 17(1), 111–131.
Barclays PLC. (2015). Future-proofing UK manufacturing.
Bogue, R. (2016). Europe continues to lead the way in the collaborative robot business. Industrial Robot: An International Journal, 43(1), 6–11.
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1), 37–44.
Bussmann, S., & Sieverding, J. (2001). Holonic control of an engine assembly plant: An industrial evaluation. Systems, Man, and Cybernetics, 2001 IEEE International Conference on IEEE, 5, 3151–3156.
Campbell, I., Diegel, O., Kowen, J., & Wohlers, T. (2017). Wohlers Report 2017 3D Printing and Additive Manufacturing State of the Industry: Annual Worldwide Progress Report.
China Robot Industry Alliance (CRIA). (2015a). China Robot Industry Alliance – Message from the Executive President. Retrieved from the China Robot Industry Alliance website: http://​cria.​mei.​net.​cn/​
Christensen, H. I., Batzinger, T., Bekris, K., Bohringer, K., Bordogna, J., Bradski, G., … Eastman, R. (2016). A roadmap for US Robotics: From Internet to Robotics 2016 Edition. Computing Community Consortium.
Continental Corporation. (2015). Continental, Deutsche, Telekom, Fraunhofer ESK, and Nokia networks showcase first safety applications at “digital A9 motorway test bed”. Retrieved from the Continental Corporation website: http://​www.​continental-corporation.​com/​
Continental Corporation. (2016a). High performance technology center in Korbach brings “industry 4.0” to Continental’s tire production. Retrieved from the Continental Corporation website: http://​www.​continental-tires.​com/​
Coradeschi, S., Ishiguro, H., Asada, M., Shapiro, S. C., Thielscher, M., Breazeal, C., … Ishida, H. (2006). Human-inspired robots. IEEE Intelligent Systems, 21(4), 74–85.
Daimler AG. (2015a). Digitalisation using the next E-Class as an example: Intelligently developed, intelligently produced. Retrieved from the Daimler AG website: http://​media.​daimler.​com/​
Delnondedieu, Y., & Troccaz, J. (1995, November). PADyC: A passive arm with dynamic constraints; a prototype with two degrees of freedom Proc. IEEE Conf. Med. Robotics Comp. Assisted Surgery (pp. 173–180).
EFFRA. (2017). EFFRA Progress Monitoring Report 2017. Bruxelles: EFFRA.
EU-Japan Centre for Industrial Cooperation. (2015). EU Business in Japan – Robotics. Retrieved from the EU-Japan Center for Industrial Cooperation website: www.​eubusinessinjapa​n.​eu
European Automobile Manufacturers’ Association. (2016). Statistics – Key Figures. Retrieved from the European Automobile Manufacturers’ Association website: http://​www.​acea.​be
Forge, S., & Blackman, C. (2010). A helping hand for Europe: The competitive outlook for the EU robotics industry. In M. Bogdanowicz & P. Desruelle (Eds.), Joint Research Centre: Institute for Prospective Technological Studies. Luxembourg Publications Office of the European Union.
Gorecky, D., Schmitt, M., Loskyll, M., & Zühlke, D. (2014, July). Human-machine-interaction in the industry 4.0 era. In Industrial Informatics (INDIN), 2014 12th IEEE International Conference (pp. 289–294). IEEE.
Harnett, S. & Kim, Q. (2017). Online retail boom means more warehouse workers, and robots to accompany them. Retrieved from the NPR website: http://​www.​npr.​org/​
Helms, E., Schraft, R. D., & Hagele, M. (2002). rob@ work: Robot assistant in industrial environments. In Robot and Human Interactive Communication, 2002. Proceedings. 11th IEEE International Workshop on (pp. 399–404). IEEE.
Hollinger, P. (2016). Meet the cobots: Humans and robots together on the factory floor. Financial Times. Retrieved from the Financial Times website: http://​www.​ft.​com
Huang, G.Q., Wright, P.K. and Newman, S.T., 2009. Wireless manufacturing: a literature review, recent developments, and case studies. International Journal of Computer Integrated Manufacturing, 22(7), pp.579-594.
IEEE Connected Vehicles. (2017). Consortium of automotive and telecom companies host 3GPP Cellular-V2X technology field trial in Germany. IEEE Vehicular Technology. Retrieved from http://​sites.​ieee.​org/​
IFR (2015), Classification of service robots by application areas., IFR International Federation of Robotics, Frankfurt Am Main, Germany.
Jazdi, N. (2014, May). Cyber physical systems in the context of Industry 4.0. In Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on (pp. 1-4). IEEE.
Keisner, C. A., Raffo, J., & Wunsch-Vincent, S. (2015). Breakthrough technologies – robotics, innovation and intellectual property. World Intellectual Property Organization: Economics and Statistics Series, 30.
Kobayashi, H. (2006). Out into the world: The Japanese automotive parts industry - Extending competition from the U.S. and Europe to the BRICs.
Kokalitcheva, K. (2016). Volkswagen looks to ride-hailing drivers as its next customers. Fortune. Retrieved from the Fortune website: http://​fortune.​com/​
Krüger, J., Lien, T. K., & Verl, A. (2009). Cooperation of human and machines in assembly lines. CIRP Annals-Manufacturing Technology, 58(2), 628–646.
Lau, S. D. (2005). Final Report: Experimental Study of Robotic Assembly and Force Control Tasks. Retrieved from the Washington University in St. Louis Department of Electrical & Systems Engineering website: http://​ese.​wustl.​edu
Lee, J., Bagheri, B., & Kao, H. A. (2014). Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics. International Proceeding of Int Conference on Industrial Informatics (INDIN), 1–6.
Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23.
Leitão, P. (2009). Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence, 22(7), 979–991.
Meister, H. P., & Banthien, H. (2015). The Role of International Industry Associations in the Development and Implementation of Corporate Ethics: The Case of the Chemical Industry and Responsible Care. In Ethics in International Management (pp. 87–108). De Gruyter.
Michalos, G., Makris, S., Papakostas, N., Mourtzis, D., & Chryssolouris, G. (2010). Automotive assembly technologies review: Challenges and outlook for a flexible and adaptive approach. CIRP Journal of Manufacturing Science and Technology, 2(2), 81–91.
Monostori, L. (2014). Cyber-physical production systems: Roots, expectations and R&D challenges. Procedia CIRP, 17, 9–13.
Morris, A. (2016). 20 years later: Cobots co-opt assembly lines. Northwestern University, McCormick School of Engineering.
National Institute of Standards and Technology. (2011). National Program Office for the Advanced Manufacturing Partnership Established at NIST. Retrieved from the NIST website: http://​www.​nist.​gov/​
National Science Foundation. (2011). National Robotics Initiative (NRI) – The realization of co-robots in direct support of individuals and groups. Retrieved from the NRI website: http://​www.​nsf.​gov/​
Nisen, M. (2014). Toyota is becoming more efficient by replacing robots with humans. Retrieved from the Quartz website: http://​qz.​com/​
Pĕchouček, M., & Mařík, V. (2008). Industrial deployment of multi-agent technologies: Review and selected case studies. Autonomous Agents and Multi-Agent Systems, 17(3), 397–431.
Pfeifer, R., Lungarella, M., & Iida, F. (2007). Self-organization, embodiment, and biologically inspired robotics. Science, 318(5853), 1088–1093.
Putra A., Tsai E., Sun J., Hu Y., Sigumoto Y.(2016). The Japanese Automotive Cluster. Microeconomics of competitiveness.
ABI Research. (2016). The Massachusetts Robotics Cluster: Massachusetts Technology Collaborative Retrieved from the Massachusetts Technology Collaborative website: www.​masstech.​org
Robotics Industries Association. (2017). Company profile – Robotics Industries Association. Retrieved from the Robotics Industries Association (RIA) website: http://​robotics.​org/​
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015). About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine, 48(3), 567–572.
Ross, L. T., Fardo, S. W., Masterson, J. W., & Towers, R. L. (2010). Robotics: Theory and industrial applications. Goodheart-Willcox Company.
Šabanović, S. (2014). Inventing Japan’s ‘robotics culture’: The repeated assembly of science, technology, and culture in social robotics. Social Studies of Science, 44(3), 342–367.
Samani, H., Saadatian, E., Pang, N., Polydorou, D., Fernando, O. N. N., Nakatsu, R., & Koh, J. T. K. V. (2013). Cultural robotics: The culture of robotics and robotics in culture. International Journal of Advanced Robotic Systems, 10(12), 400.
Schaede, U. (2010). Globalisation and the reorganisation of Japan's auto parts industry. International Journal of Automotive Technology and Management, 10(2–3), 270–288.
Shen, W., Hao, Q., Yoon, H. J., & Norrie, D. H. (2006). Applications of agent-based systems in intelligent manufacturing: An updated review. Advanced Engineering Informatics, 20(4), 415–431.
Silicon Saxony. (2017). Divisions: Applications. 2017 Sylicon Saxony Report. Dresden: Sylicon Saxony.
Smit, J., Kreutzer, S., Moeller, C., & Carlberg, M. (2016). Industry 4.0 analytical study. Policy Department A: Economic and Scientific Policy.
Smitka, M., & Warrian, P. (2016). A profile of the global auto industry: Innovation and dynamics. Business Expert Press.
Society of Manufacturing Engineers. (2017). Industrial robotics.
Struijk, B. (2011). Robots in human societies and industry. Technology, 10(1), 183–195.
The State Council of the People’s Republic of China. (2016). China sees fast development in robot industry. Retrieved from The State Council of the People’s Republic of China website: http://​english.​gov.​cn/​
Ucimu. (2017). Ucimu 2017 Sector Report. Milan: Ucimu.
Universal Robots. (2016b). World Robotics Report 2016 announces collaborative robots as market driver. Retrieved from the Universal Robots website: http://​universal-robots.​com/​
Wang, L., Törngren, M., & Onori, M. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 37(Part 2), 517–527.
Wang, S., Wan, J., Li, D., & Zhang, C. (2015). Implementing smart factory of industrie 4.0: An outlook. International Journal of Distributed Sensor Networks.
Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016). Towards smart factory for Industry 4.0: A self-organized multi-agent system with big data based feedback and coordination. Computer Networks, 101, 158–168.
World Technology Evaluation Center. (2012). WTEC Panel Report on human-robot interaction: Japan, South Korea, and China. Retrieved from the WTEC website: http://​www.​wtec.​org
Zhang, Y., Finger, S., & Behrens, S. (2006). Introduction to mechanisms. In Rapid design through virtual and physical prototyping project (pp. 39–245). Carnegie Mellon University.
Metadaten
Titel
Digital Manufacturing and the Transformation of the Automotive Industry
verfasst von
Aldo Geuna
Marco Guerzoni
Massimiliano Nuccio
Fabio Pammolli
Armando Rungi
Copyright-Jahr
2021
Buch
Resilience and Digital Disruption

Print ISBN: 978-3-030-85157-6

Electronic ISBN: 978-3-030-85158-3

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-85158-3_4