Abstract
Gemba Walks are an important mean of vertical integration in Lean Manufacturing environments. They ensure that all levels of the company stay connected with the front-line, “the Gemba”, where the actual value is created. However, traditionally Gemba Walks have been restricted to one location. This is a shortcoming in production environments characterized by interconnected and often globally dispersed problems where information from several locations is needed simultaneously. In response, this paper explores the emergence of new forms of Gemba Walks enabled by the adoption of new digital technologies. We intend to identify the advantages and disadvantages of using digital technology to support the execution of these new forms of Gemba Walks in more complex, globalized environments and to get a grasp of the extent to which digitalization changes communication characteristics between the parties involved.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Womack, J.: Gemba Walks. Lean Enterprise Institute Inc., Expanded 2nd edn. (2019)
Ballé, M. et al.: The Lean Sensei. Lean Enterprise Institute Inc. (2019)
Tucker, A.L., Singer, S.J.: The effectiveness of management-by-walking-around: a randomized field study. Prod. Oper. Manage. 24(2), 253–271 (2015)
Netland, T., Powell, D. Hines, P.: Demystifying lean leadership. Lean Six Sigma (2019)
Romero, D., Gaiardelli, P., Powell, D., Wuest, T., Thürer, M.: Digital lean cyber-physical production systems: the emergence of digital lean manufacturing and the significance of digital waste. In: Moon, I., Lee, G.M., Park, J., Kiritsis, D., von Cieminski, G. (eds.) APMS 2018. IAICT, vol. 535, pp. 11–20. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99704-9_2
Buer, S.-V., et al.: The data-driven process improvement cycle: using digitalization for continuous improvement. IFAC-PapersOnLine 51(11), 1035–1040 (2018)
Pearce, A.D., Pons, D.J.: Defining lean change – framing lean implementation in organizational development. Bus. Manage. 12(4), 10–22 (2017)
Aij, K.H., Teunissen, M.: Lean leadership attributes: a systematic review of the literature. Health Organ. Manage. 31(7–8), 713–729 (2017)
Perera, C., Liu, C.H., Jayawardena, S.: The emerging internet of things marketplace from an industrial perspective: a survey. IEEE Trans. Emerg. Top. Comput. 3(4), 585–598 (2015)
Li, H., Parlikad, A.K.: Social internet of industrial things for industrial and manufacturing assets. IFAC-PapersOnLine 49(28), 208–213 (2016)
Romero, D., Wuest, T., Stahre, J., Gorecky, D.: Social factory architecture: social networking services and production scenarios through the social internet of things, services and people for the social operator 4.0. In: Lödding, H., Riedel, R., Thoben, K.-D., von Cieminski, G., Kiritsis, D. (eds.) APMS 2017. IAICT, vol. 513, pp. 265–273. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66923-6_31
Negri, E., Fumagalli, L., Macchi, M.: A review of the roles of digital twin in CPS-based production systems. Procedia Manuf. 11, 939–948 (2017)
Kunz, A., Zank, M., Fjeld, M., Nescher, T.: Real walking in virtual environments for factory planning and evaluation. Procedia CIRP 44, 257–262 (2016)
Shao, G., Shin, S.-J., Jain, S.: Data analytics using simulation for smart manufacturing. In: Proceedings of the Winter Simulation Conference (2014)
Everett, R.J., Sohal, A.S.: Individual involvement and intervention in quality improvement programmes: using the andon system. Qual. Reliab. Manage. 8(2), 21–34 (1991)
Howard, N.: Intention awareness in human-machine interaction sensemaking in joint-cognitive systems. In: 8th International Conference on Information Science and Digital Content Technology, pp. 293–299. IEEExplorer (2012)
Jones, A.T., Romero, D., Wuest, T.: Modeling agents as joint cognitive systems in smart manufacturing systems. Manuf. Lett. 17, 6–8 (2018)
Soban, D., Thornhill, D., Salunkhe, S., Long, A.: Visual analytics as an enabler for manufacturing process decision-making. Procedia CIRP 56, 209–214 (2016)
Hilbrich, M., Weber, M., Tschüter, R.: Automatic analysis of large data sets: a walk-through on methods from different perspectives. In: International Conference on Cloud Computing and Big Data, pp. 373–380. IEEExplorer (2013)
Terenghi, F., Cassina, J., Kristensen, K, Terzi, S.: Virtual obeya: a new collaborative web application for running lean management workshops. In: International Conference on Engineering, Technology and Innovation, pp. 1–7. IEEExplorer (2014)
Romero, D., Gaiardelli, P., Powell, D., Wuest, T., Thürer, M.: Total quality management and quality circles in the digital lean manufacturing world. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 566, pp. 3–11. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30000-5_1
Romero, D., Gaiardelli, P., Thürer, M., Powell, D., Wuest, T.: Cyber-physical waste identification and elimination strategies in the digital lean manufacturing world. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 566, pp. 37–45. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30000-5_5
https://europe.autonews.com/automakers/lockdown-leads-toyota-chief-question-core-tenet
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 IFIP International Federation for Information Processing
About this paper
Cite this paper
Romero, D., Gaiardelli, P., Wuest, T., Powell, D., Thürer, M. (2020). New Forms of Gemba Walks and Their Digital Tools in the Digital Lean Manufacturing World. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-030-57997-5_50
Download citation
DOI: https://doi.org/10.1007/978-3-030-57997-5_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57996-8
Online ISBN: 978-3-030-57997-5
eBook Packages: Computer ScienceComputer Science (R0)
