Advertisement

Manufacturing with a big M – The Grand Challenges of Engineering in Digital Societies from the Perspective of the Institute for Manufacturing at Cambridge University

  • Andy Neely
  • Sarah Fell
  • Albrecht Fritzsche
Chapter
Part of the Philosophy of Engineering and Technology book series (POET, volume 31)

Abstract

Engineering used to be driven by a community of experts who set themselves apart from others by establishing clear boundaries of their profession. Today, however, these boundaries have become increasingly permeable, due to the increasing dynamic and complexity of technical and economic change. The manufacturing sector illustrates this process very well. Engineering is currently becoming much more deeply involved in the usage of technical artefacts and economic questions of value creation. Engineers are therefore facing the challenge of opening up their traditional domain to collaborate with other disciplines and integrate new knowledge in their theories, concepts and procedures. This contribution shows how the Institute for Manufacturing at Cambridge University copes with this challenge, expanding the scope of topics addressed in engineering and introducing new subjects in the curriculum of the students. All this seems to be a necessary prerequisite for engineers to uphold their claims of responsibility of technical development and their contribution to well-being in society.

Keywords

Manufacturing Service research Engineering education Well-being Innovation 

References

  1. Chakrabarti, A., & Blessing, L. T. M. (2014). Theories and models of design: A summary of findings. In A. Chakrabarti & L. Blessing (Eds.), An anthology of theories and models of design (pp. 1–45). London: Springer.CrossRefGoogle Scholar
  2. Fritzsche, A. (2017). Open innovation and the core of the engineer’s domain. Philosophy and engineering: Exploring boundaries, expanding connections. Dodrecht: Springer.Google Scholar
  3. Gölzer, P., & Fritzsche, A. (2017). Data-driven operations management: Organizational implications of the digital transformation in industrial practice. Production Planning and Control, 28, 1332.CrossRefGoogle Scholar
  4. Kornwachs, K. (2017). Is technology a science? Recent developments in German philosophy of technology and engineering. In D. P. Michelfelder, B. Newberry, & Q. Zhu (Eds.), Philosophy and engineering: Exploring boundaries, expanding connections (pp. 61–72). Dordrecht: Springer.Google Scholar
  5. Lightfoot, H., Baines, T., & Smart, P. (2013). The servitization of manufacturing – A systematic literature review of interdependent trends. International Journal of Operations & Production Management, 33(11/12), 1408–1434.CrossRefGoogle Scholar
  6. Oks, S. J., Fritzsche, A., & Möslein, K. M. (2017). An application map for industrial cyber-physical systems. In H. Song, S. Jeschke, C. Brecher, & D. B. Rawat (Eds.), Industrial internet of things: Cybermanufacturing systems (pp. 21–46). Cham: Springer.CrossRefGoogle Scholar
  7. Robison, W. L. (2016). Ethics within engineering: An introduction. London: Bloomsbury Publishing.Google Scholar
  8. Weber, M. (1978). Economy and society: An outline of interpretive sociology. Berkeley: University of California Press.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute for ManufacturingUniversity of CambridgeCambridgeUK
  2. 2.Institute of Information SystemsFriedrich-Alexander-Universität Erlangen-NürnbergNürnbergGermany

Personalised recommendations