lndustrial Engineering

Dr. Mary Elizabeth Kurz

Associate Professor & Undergraduate Coordinator

Department of Industrial Engineering
136 Freeman Hall, Clemson University
Clemson, SC 29634-0920

Phone: (864) 656-4652
Fax: (864) 656-0795
Email: mkurz@clemson.edu

Personal Web Page:
http://people.clemson.edu/~mkurz/

Dr. Mary Elizabeth Kurz

Education

BS, Systems Engineering
The University of Arizona, 1995

MS, Systems Engineering
The University of Arizona, 1997

Ph.D., Systems and Industrial Engineering
The University of Arizona, 2001

Research Areas

Developing heuristics and meta-heuristics to find solutions for scheduling problems as well as investigating the impact of meta-heuristics design on performance.

Selected Publications

Randall, Patricia and Mary E. Kurz “Effectiveness of adaptive crossover procedures for a genetic algorithm to schedule unrelated parallel machines with setups.” International Journal of Operations Research. Vol. 4, No. 1, 2007, 1-10.

Mason, S.J., Kurz, M.E., Pohl, L.M., Fowler, J.W., Pfund, M.E., 2007,   “Random keys implementation of NSGA-II for semiconductor manufacturing scheduling”, In press for International Journal of Information Technology and Intelligent Computing.

Tangudu, Sarat and Mary E. Kurz.  “A branch and bound algorithm to minimize total weighted tardiness on a parallel-batch processing machine with ready times and incompatible job families.” Production Planning and Control. Vol. 17, No. 7, October 2006, 728-741.

Kurz, Mary E. and Ronald G. Askin.  “Scheduling flexible flow lines with sequence-dependent setup times”.  European Journal of Operational Research. Vol 159, No. 1, 16 November 2004, 66-82.

Samanlioglu, F., M. Kurz, W. Ferrell, and S. Tangudu, “A hybrid random-key genetic algorithm for a symmetric traveling salesman problem,” In press for International Journal of Operations Research.

Courses Taught

IE 280 Introduction to Operations Research I (Deterministic OR)
IE 360 Industrial Applications of Probability and Statistics
IE 384 Engineering Economic Analysis
IE 440 Decision Support System
IE 865 Facilities Planning and Design
IE 851 Data Collection, Analysis, and Interpretation
IE 852 Modeling and Decision Making
IE 881 Metaheuristics

Professional Affiliations

Institute for Operations Research and Management Science (INFORMS)
Institute of Industrial Engineers


 

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Industrial Engineering Department, College of Engineering and Science
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