Murat Kulahci, Ph.D.

Affiliations: 
2000 University of Wisconsin, Madison, Madison, WI 
Area:
Industrial Engineering, System Science Engineering
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Søren Bisgaard grad student 2000 UW Madison
 (Applications of Plackett and Burman designs to split plot designs.)
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Publications

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Gajjar S, Kulahci M, Palazoglu A. (2020) Least Squares Sparse Principal Component Analysis and Parallel Coordinates for Real-time Process Monitoring Industrial & Engineering Chemistry Research. 59: 15656-15670
Capaci F, Vanhatalo E, Palazoglu A, et al. (2020) On Monitoring Industrial Processes under Feedback Control Quality and Reliability Engineering International
Kulahci M. (2019) Discussion on “Søren Bisgaard’s contributions to Quality Engineering: Design of experiments” Quality Engineering. 31: 149-153
Capaci F, Vanhatalo E, Kulahci M, et al. (2019) The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods Quality Engineering. 31: 212-229
Spooner MP, Kold D, Kulahci M. (2018) Harvest time prediction for batch processes Computers & Chemical Engineering. 117: 32-41
Kulahci M, Tyssedal JS. (2017) Split-plot designs for multistage experimentation Journal of Applied Statistics. 44: 493-510
Gajjar S, Kulahci M, Palazoglu A. (2017) Real-time fault detection and diagnosis using sparse principal component analysis Journal of Process Control. 67: 112-128
Spooner MP, Kold D, Kulahci M. (2017) Selecting local constraint for alignment of batch process data with dynamic time warping Chemometrics and Intelligent Laboratory Systems. 167: 161-170
Vanhatalo E, Kulahci M, Bergquist B. (2017) On the structure of dynamic principal component analysis used in statistical process monitoring Chemometrics and Intelligent Laboratory Systems. 167: 1-11
Capaci F, Bergquist B, Kulahci M, et al. (2017) Exploring the Use of Design of Experiments in Industrial Processes Operating Under Closed‐Loop Control Quality and Reliability Engineering International. 33: 1601-1614
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