1. Proceedings
  2. I3M
  3. 2018
  4. MAS
  5. 10.46354/i3m.2018.mas.030

A methodological framework to implement lean in dynamic and complex sociotechnical systems

  • a Joshua Behr , 
  • b Rafael Diaz ,
  • c Francesco Longo ,
  • d Antonio Padovano 
  • a Virginia Modeling, Analysis & Simulation Center, Old Dominion University, USA
  • b Zaragoza Logistics Center, Spain
  • c,d DIMEG, University of Calabria, Italy
Cite as
Behr J., Diaz R., Longo F., Padovano A. (2018). A methodological framework to implement lean in dynamic and complex sociotechnical systems. Proceedings of the 17th International Conference on Modeling & Applied Simulation (MAS 2018), pp. 199-204. DOI: https://doi.org/10.46354/i3m.2018.mas.030

Abstract

Dynamic and complex socio-technical systems notoriously hinder the application of lean thinking and tools and, as a result, any improvement opportunity. Emblematic is the case of a post-disaster recovery, whose processes and performance are unpredictable due to many sources of complexity, randomness and waste, both for industrial organizations and communities. This article proposes an innovative framework, named LOOP, which permits to implement lean thinking even in dynamic and complex scenarios. It consists of an iterative technology-driven methodology based on four steps: Internet of Things-driven Real-Time Knowledge Creation, Waste Identification & Value Focusing, Modeling & Simulation driven Set-Based Concurrent Engineering and Knowledge Management & Lean Implementation. The contribution of this article is then mainly methodological: this framework is proposed as the guidance to lead socio-technical systems, such as a post disaster recovery, through a value-oriented continuous improvement process with a systemic perspective, which concurrently consider uncertainties, dynamic factors and interdependencies as sources of wastes in a post-disaster recovery.

References

  1. Abreu-Ledón R., Luján-García D.E., Garrido-Vega P., Escobar-Pérez B. (2018). A meta-analytic study of the impact of Lean Production on business performance. International Journal of Production Economics, 200, pp. 83-102.
  2. Achanga, P. (2006). Critical success factors for lean implementation within SMEs. Journal of Manufacturing Technology Management, 17 (4), pp. 460-71.
  3. Andrés-López, E., González-Requena, I., & Sanz-Lobera, A. (2015). Lean service: reassessment of lean manufacturing for service activities. Procedia engineering, 132, 23-30.
  4. Azadegan, A., Patel, P. C., Zangoueinezhad, A., & Linderman, K. (2013). The effect of environmental complexity and environmental dynamism on lean practices. Journal of Operations Management, 31(4), 193-212.
  5. Azadegan, A., Patel, P.C., Parida, V., 2012. Operational slack and venture survival: the effects of environmental uncertainty. Production and Operations Management Journal 22 (1), 1–18.
  6. Banks, J. (1998). Handbook of simulation: principles, methodology, advances, applications, and practice. John Wiley & Sons.
  7. Bicheno, J. (2008). The Lean Toolbox for Service Systems. Buckingham: Picsie Books.
  8. Bowen, D. E., & Youngdahl, W. E. (1998). “Lean” service: in defense of a production-line approach. International journal of service industry management, 9(3), 207-225.
  9. Bruzzone, A., Frascio, M., Longo, F., Chiurco, A., Zanoni, S., Zavanella, L., ... & Petrillo, A. (2014). Disaster and emergency management simulation in industrial plants. In Proceedings of the 26th European Modeling and Simulation Symposium, EMSS 2014, pp. 649-656.
  10. Chavez, R., Gimenez, C., Fynes, B., Wiengarten, F., & Yu, W. (2013). Internal lean practices and operational performance: The contingency perspective of industry clockspeed. International Journal of Operations & Production Management, 33(5), 562-588.
  11. Dekker, S. (2016). Drift into failure: From hunting broken components to understanding complex systems. Boca Raton: CRC Press.
  12. Diaz, R., Kumar, S., & Behr, J. (2015). Housing recovery in the aftermath of a catastrophe: Material resources Perspective. Computers & Industrial Engineering, 81, 130-139.
  13. Gupta, S., Sharma, M., & Sunder M, V. (2016). Lean services: a systematic review. International Journal of Productivity and Performance Management, 65(8), 1025-1056.
  14. Hadid, W., Mansouri, S. A., & Gallear, D. (2016). Is lean service promising? A socio-technical perspective. International Journal of Operations & Production Management, 36(6), 618-642.
  15. Kenney, M., Rouvinen, P., & Zysman, J. (2015). The digital disruption and its societal impacts. Journal of Industry, Competition and Trade, 15(1), 1-4.
  16. Kolberg, D., & Zühlke, D. (2015). Lean automation enabled by industry 4.0 technologies. IFACPapersOnLine, 48(3), 1870-1875.
  17. Longo F., Nicoletti L., Padovano A. (2019). A system for supply chains diversification and (re)design: supporting managers perspective in the face of uncertainty. International Journal of Logistics Systems and Management. DOI: 10.1504/IJLSM.2019.10008306.
  18. Marchwinski C. (2015). Toyota partners with nonprofit to rebuild homes and lives. Retrieved from: https://www.lean.org/common/display/?o=3016.
  19. Mojtahedi, S. M. H., & Oo, B. L. (2012). Possibility of applying lean in post-disaster reconstruction: An evaluation study. In Proc., 20th Annual Conf. of the Int. Group for Lean Construction: Challenging Lean Construction Thinking: Are We near a Tipping Point (Vol. 1, pp. 411-420).
  20. Murman, E., Allen, T., Bozdogan, K., Cutcher-Gershenfeld, J., McManus, H., Nightingale, D., ... &  Warmkessel, J. (2002). Lean Enterprise Value: insights from MIT’s Lean Aerospace Initiative. New York: Palgrave.
  21. Nelson R.R., Winter S.G. (1982). An Evolutionary Theory of Economic Change, Harvard University Press, Cambridge, MA.
  22. Ng, D., Vail, G., Thomas, S., & Schmidt, N. (2010). Applying the Lean principles of the Toyota Production System to reduce wait times in the emergency department. Canadian Journal of Emergency Medicine, 12(1), 50-57.
  23. Ohno, T. (1988), Toyota Production System: Beyond Large Scale Production, Productivity Press, Portland, Oregon.
  24. Seddon, J. (2003). Freedom from command and control. Vanguard Education Limited.
  25. Shah, R., & Ward, P. T. (2003). Lean manufacturing: context, practice bundles, and performance. Journal of operations management, 21(2), 129-149.
  26. Soliman, M., & Saurin, T. A. (2017). Lean production in complex socio-technical systems: A systematic literature review. Journal of Manufacturing Systems, 45, 135-148.
  27. Summers, G. J., & Scherpereel, C. M. (2008). Decision making in product development: are you outside-in or inside-out?. Management Decision, 46(9), 1299-1312
  28. Wang, P. P., Ming, X. G., Li, D., Kong, F. B., Wang, L., & Wu, Z. Y. (2011). Status review and research strategies on product-service systems. International Journal of Production Research, 49(22), 6863-6883.
  29. Womack, J. P., & Jones, D. T. (2005). Lean Consumption. Harvard Business Review, 83(3), 58-68.
  30. Zobel, C. W. (2014). Quantitatively representing nonlinear disaster recovery. Decision Sciences, 45(6), pp. 1053-1082.