Search results
Results: 229
Number of items: 229
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Hoefsmit, P. C., van den Heuvel, J., Zandbergen, R., & Does, R. (2024). Operational excellence in hospitals. International Journal of Lean Six Sigma, 15(4), 957-964. https://doi.org/10.1108/IJLSS-07-2024-257 -
von Stackelberg, P., Goedhart, R., Birbil, S. I., & Does, R. J. M. M. (2024). Comparison of threshold tuning methods for predictive monitoring. Quality and Reliability Engineering International, 40(1), 499-512. https://doi.org/10.1002/qre.3436 -
Hoefsmit, P. C., Schretlen, S., Does, R. J. M. M., Verouden, N. J., & Zandbergen, H. R. (2023). Quality and process improvement of the multidisciplinary Heart Team meeting using Lean Six Sigma. BMJ Open Quality, 12(1), Article e002050. https://doi.org/10.1136/bmjoq-2022-002050 -
Lameijer, B. A., Boer, H., Antony, J., & Does, R. J. M. M. (2023). Continuous improvement implementation models: a reconciliation and holistic metamodel. Production Planning & Control, 34(11), 1062-1081. https://doi.org/10.1080/09537287.2021.1974114 -
Hoefsmit, P. C., Jansen, E. K., Does, R. J. M. M., & Zandbergen, H. R. (2023). The Search for an Outcome Variable That Measures Both Quality and Processes in Cardiac Surgery: Comparing the Quality Process Index and Mortality. Healthcare, 11(10), Article 1419. https://doi.org/10.3390/healthcare11101419 -
Lameijer, B. A., & Does, R. (2022). Guest editorial. International Journal of Lean Six Sigma, 13(1), 1-7. https://doi.org/10.1108/IJLSS-02-2022-228
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Kuiper, A., Lee, R. H., van Ham, V. J. J., & Does, R. J. M. M. (2022). A reconsideration of Lean Six Sigma in healthcare after the COVID-19 crisis. International Journal of Lean Six Sigma, 13(1), 101-117. https://doi.org/10.1108/IJLSS-01-2021-0013
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Huberts, L. C. E., Does, R. J. M. M., Ravesteijn, B., & Lokkerbol, J. (2022). Predictive monitoring using machine learning algorithms and a real-life example on schizophrenia. Quality and Reliability Engineering International, 38(3), 1302-1317. https://doi.org/10.1002/qre.2957 -
Huberts, L. C. E., Schoonhoven, M., & Does, R. J. M. M. (2022). Monitoring student progress: A case study to predict student success or failure. Journal of Quality Technology, 54(2), 127-143. https://doi.org/10.1080/00224065.2020.1828008
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