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Digital Redistributed Manufacturing (RdM) Studio: A Data-Driven Approach to Business Model Development

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Sustainable Design and Manufacturing 2017 (SDM 2017)

Abstract

The theme of Redistributed Manufacturing (RdM) has gained in interest over recent years. While much research has taken place into the effects of RdM on current manufacturing models very few people have proposed new business models for this concept. The RdM studio is a new approach to business model development that will allow future users to dynamically incorporate data and experiment with new redistributed manufacturing scenarios. An RdM System Dynamics (SD) model is illustrated (as a potential constituent model of the RdM studio) with a case study called ShoeLab that explores RdM scenario generation through parameter sets utilising the SD modelling method. This research provides a valuable platform on which future models and scenarios may be derived.

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References

  1. Srai, J.S., Kumar, M., Graham, G., Phillips, W., Tooze, J., Tiwari, A., Ford, S., Beecher, P., Raj, B., Gregory, M., Tiwari, M.: Distributed manufacturing: scope, challenges and opportunities. Int. J. Prod. Res. 54(23), 6917–6935 (2015)

    Article  Google Scholar 

  2. Xu, X.: From cloud computing to cloud manufacturing. Robot. Comput.-Integr. Manuf. 28(1), 75–86 (2012)

    Article  Google Scholar 

  3. EPSRC 2016. https://www.epsrc.ac.uk/newsevents/pubs/re-distributed-manufacturing-workshop-report/. Accessed 11 Nov 2016

  4. Moreno, M., Charnley, F.: Can re-distributed manufacturing and digital intelligence enable a regenerative economy? An integrative literature review. In: Setchi, R., Howlett, R., Liu, Y., Theobald, P. (eds.) Sustainable Design and Manufacturing 2016, vol. 52, pp. 563–575. Springer International Publishing, Cham (2016)

    Chapter  Google Scholar 

  5. German Federal Government, the new high-tech strategy innovations for Germany (2016). https://www.bmbf.de/pub/HTS_Broschuere_eng.pdf. Accessed 17 Aug 2016

  6. Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., De Amicis, R., Pinto, E.B., Eisert, P., Dollner, J., Vallarino, I.: Visual computing as a key enabling technology for industrie 4.0 and industrial internet. Comput. Graph. Appl. IEEE 35(2), 26–40 (2015)

    Article  Google Scholar 

  7. Baines, T.S., Lightfoot, H.W., Evans, S., Neely, A., Greenough, R., Peppard, J., Roy, R., Shehab, E., Braganza, A., Tiwari, A., Alcock, J.R.: State-of-the-art in product-service systems. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 221(10), 1543–1552 (2007)

    Article  Google Scholar 

  8. Kuijken, B., Gemser, G., Wijnberg, N.M.: Effective product-service systems: a value-based framework. Ind. Mark. Manag. 60, 33–41 (2016)

    Article  Google Scholar 

  9. Cosenz, F.: Supporting start-up business model design through system dynamics modelling. Manag. Decis. 55(1), 57–80 (2017)

    Article  Google Scholar 

  10. Abdelkafi, N., Täuscher, K.: Business models for sustainability from a system dynamics perspective. Organ. Environ. 29(1), 74–96 (2016)

    Article  Google Scholar 

  11. Lieder, M., Rashid, A.: Towards circular economy implementation: a comprehensive review in context of manufacturing industry. J. Clean. Prod. 115, 36–51 (2016)

    Article  Google Scholar 

  12. Macarthur, E.: Towards the Circular Economy: Opportunities for the Consumer Goods Sector. Ellen MacArthur Foundation (2013)

    Google Scholar 

  13. The Government Office for Science 2013 Future of manufacturing: a new era of opportunity and challenge for the UK. https://www.gov.uk/government/publications/future-of-manufacturing Accessed 11 Nov 2016

  14. Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., Harnisch, M.: Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries. Boston Consulting Group (2015)

    Google Scholar 

  15. The CRO Forum: The Smart Factory – Risk Management Perspectives (2015). http://www.thecroforum.org/the-smart-factory-risk-management-perspectives/. Accessed 11 Nov 2016

  16. EPSRC 2016 The RECODE Network http://www.recode-network.com/. Accessed 11 Nov 2016)

  17. AnyLogic 2016. http://www.anylogic.com/. Accessed 11 Nov 2016

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Acknowledgements

The Engineering and Physical Sciences Research Council (EPSRC- EP/M017567/1) have funded this research as the feasibility study ‘Digital Re-Distributed Manufacturing (RdM) Studio’ under the Network on Re-distributed Manufacturing Consumer Goods and Big Data (RECODE) project.

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Correspondence to Christopher Turner .

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Turner, C. et al. (2017). Digital Redistributed Manufacturing (RdM) Studio: A Data-Driven Approach to Business Model Development. In: Campana, G., Howlett, R., Setchi, R., Cimatti, B. (eds) Sustainable Design and Manufacturing 2017. SDM 2017. Smart Innovation, Systems and Technologies, vol 68. Springer, Cham. https://doi.org/10.1007/978-3-319-57078-5_49

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  • DOI: https://doi.org/10.1007/978-3-319-57078-5_49

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