Assistant Professor
Contact Information
Office: | P6524 Yeung Kin Man Academic Building (AC1) |
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Phone: | (+852 3442) 6155 |
Email: | i.m.zwetsloot@cityu.edu.hk |
Research Interests
- Statistical process monitoring
- Industrial statistics
- Lean Six Sigma
- Operational Excellence
Inez Zwetsloot is assistant professor in the Department of Systems Engineering and Engineering Management at the City University of Hong Kong. Her research focusses on statistical process control, industrial statistics, Lean Six Sigma and operations management.
Inez has taught various courses on Lean Six Sigma, data analytics, statistics and operations management. She is also lecturer of the online coursera course " Data Analytics for Lean Six Sigma". This course can be audited for free online at: www.coursera.org/learn/data-analytics-for-lean-six-sigma.
Inez received her PhD from the University of Amsterdam, the Netherlands, in 2016. Her thesis, entitled "EWMA Control Charts in Statistical Process Monitoring" was supervised by prof.dr. Ronald J.M.M. Does and dr. Marit Schoonhoven.
Previous Experience
- 23 Apr 2016 - 18 Mar 2017, Assistant professor, University of Amsterdam. Research in the area of Industrial Statistics and Quality Improvement. My focus area is Statistical Process Control. .
- 2013 - 2016, Consultant, IBIS UvA. IBIS UvA is the Lean Six Sigma institute of the University of Amsterdam. As consultant I was responsible for teaching and supervision of quality and efficiency projects. .
Publication
Journal
- Goedhart, R. , Schoonhoven, M. , Zwetsloot, I. M. & Does, R. J.M.M. (2017). Discussion of ‘Bridging the Gap between Theory and Practice in Basic Statistical Process Monitoring’. Quality Engineering. 29(1). 18 - 21.
- Zwetsloot, Inez. M. & Woodall, William. H. (2016). A Head-to-Head comparative Study of Control Charts based on Estimated Parameters. Quality Engineering. 29(2). 244 - 253. doi:10.1080/08982112.2016.1237651
- Saleh, N. A. , Zwetsloot, I. M. , Mahmoud, M. A. & Woodall, W. H. (2016). CUSUM Chart with Controlled Conditional Performance Under Estimated Parameters. Quality Engineering. 28(4). 402 - 415.
- Basta, Y. L. , Zwetsloot, I. M. , Klinkenbijl, J. H.g. , Rohof, M. M.C. , Monster, M. M.C. , Fockens, P. & Tytgat, K. M.A.J. (2016). Decreasing the dispatch time of medical reports sent from hospital to primary care with Lean Six Sigma. Journal of Evaluation in Clinical Practice. 22(5). 690 - 698.
- Zwetsloot, I. M. , Schoonhoven, M. & Does, R. J.M.M. (2016). Robust Point Location Estimators for the EWMA Control Chart. Quality Technology and Quantitative Management. 13(1). 29 - 38.
- Zwetsloot, I. M. , Schoonhoven, M. & Does, R. J.M.M. (2015). A Robust Phase I EWMA Chart for Dispersion. Quality and Reliability Engineering International. 31(6). 989 - 999.
- Saleh, N. A. , Mahmoud, M. A. , Jones-Farmer, L. A. , Zwetsloot, I. M. & Woodall, W. H. (2015). Another Look at the EWMA Control Chart with Estimated Parameters. Journal of Quality Technology. 47(4). 363 - 382.
- Zwetsloot, I. M. & Does, R. J.M.M. (2015). Quality Quandaries: Improving Revenue by Attracting more Clients Online. Quality Engineering. 27(1). 130 - 137.
- Zwetsloot, I. M. , Buitenhuis, M. , Lameijer, B. A. & Does, R. J.M.M. (2015). Quality Quandaries: Increasing the First Time Fix Rate in a Customer Contact Center. Quality Engineering. 27(3). 393 - 400.
- Zwetsloot, I. M. , Schoonhoven, M. & Does, R. J.M.M. (2014). A Robust Estimator for Location in Phase I based on an EWMA Chart. Journal of Quality Technology. 46(4). 302 - 316.
Book
- Zwetsloot, I. M. (2016). EWMA Control Charts in Statistical Process Monitoring. (PhD Thesis ed.). Amsterdam: .
Awards
- Lecturer of the Year
Amsterdam MBA, University of Amsterdam, November 2016.
In recognition of her dedication and commitment to teaching in the Amsterdam MBA class of 2014-2016 and 2015-2016, Inez Zwetsloot has been voted Lecturer of the Year by the students - Lecturer of the Year
Master of Real Estate, Amsterdam School of Real, October 2016
Voted lecturer of the class of 2015-2017 of Master of Real Estate for the course `Introduction to Data Analysis'.
Last update date : 05 May 2017