Reha Uzsoy

Clifton A. Anderson Distinguished Professor

919.513.1681
ruzsoy@ncsu.edu
300 Daniels Hall

Reha Uzsoy is a professor in the Edward P. Fitts Department of Industrial & Systems Engineering at North Carolina State University. He is the author of one book, three edited books, and numerous refereed journal publications. Before coming to the US he worked as a production engineer with Arcelik AS, a major appliance manufacturer in Istanbul, Turkey. He has also worked as a visiting researcher at Intel Corporation and IC Delco. His research has been supported by the National Science Foundation, Intel Corporation, Hitachi Semiconductor, Harris Corporation, Kimberly Clark, Union Pacific, Ascension Health and General Motors. He was named a Fellow of the Institute of Industrial Engineers in 2005, Outstanding Young Industrial Engineer in Education in 1997 and a University Faculty Fellow by Purdue University in 2001, and has received awards for both undergraduate and graduate teaching.

Discover more about Reha Uzsoy, see Faculty Profile: Reha Uzsoy

Education

Ph.D. 1990

Doctorate

University of Florida

MS 1986

Master of Science

Bogazici University

BSIE 1985

Bachelor of Science in Industrial Engineering

Bogazici University

BS 1984

Bachelor of Science

Bogazici University

Research Description

Production planning, scheduling, and supply chain management.

Honors and Awards

Fellow, Institute of Industrial Engineers,
C.A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 2011

Publications

Appreciation to Our Reviewers: Uzsoy, Reita (2018), IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 31(4), 405-405.
Editorial from the incoming editor-in-chief: Uzsoy, R. (2018), IEEE Transactions on Semiconductor Manufacturing, 31(2), 195-195.
Robust optimization approaches for the equitable and effective distribution of donated food: Orgut, Irem Sengul and Ivy, Julie S. and Uzsoy, Reha and Hale, Charlie (2018), EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 269(2), 516-531.
Rolling horizon, multi-product production planning with chance constraints and forecast evolution for wafer fabs: Ziarnetzky, Timm and Moench, Lars and Uzsoy, Reha (2018), INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 56(18), 6112-6134.
Rounding heuristics for multiple product dynamic lot-sizing in the presence of queueing behavior: Kang, Yongha and Albey, Erinc and Uzsoy, Reha (2018), COMPUTERS & OPERATIONS RESEARCH, 100(), 54-65.
Load dependent lead time modelling: A robust optimization approach: Albey, E. and Yanikoglu, I. and Uzsoy, R. (2017), Winter Simulation Conference Proceedings, (), 3531-3542.
Modeling for the equitable and effective distribution of food donations under stochastic receiving capacities: Orgut, I. S. and Ivy, J. and Uzsoy, R. (2017), IISE Transactions, 49(6), 567-578.
Multi-dimensional clearing functions for aggregate capacity modelling in multi-stage production systems: Albey, E. and Bilge, U. and Uzsoy, R. (2017), International Journal of Production Research, 55(14), 4164-4179.
(Almost) present at the creation: 25 years of modelling and simulation in semiconductor manufacturing: Uzsoy, R. (2016), Proceedings of the European Conference on Antennas and Propagation, (), 2509-2509.
Achieving equity, effectiveness, and efficiency in food bank operations: Strategies for feeding America with implications for global hunger relief: Orgut, I. S. and Brock, L. G. and Davis, L. B. and Ivy, J. S. and Jiang, S. and Morgan, S. D. and Uzsoy, R. and Hale, C. and Middleton, E. (2016), International Series in Operations Research & Management Science, 235(), 229-256.
Chance-constrained formulations in rolling horizon production planning: An experimental study: Lin, P. C. and Uzsoy, R. (2016), International Journal of Production Research, 54(13), 3927-3942.
Computing the number of acute-care beds within NC Certificate of Need: Kesercioglu, M. G. and Roberts, S. D. and Uzsoy, R. (2016), Health Systems, 5(2), 98-108.
Estimating the costs of planned changes implied by freezing production plans: Lin, P. C. and Uzsoy, R. (2016), International Series in Operations Research & Management Science, 236(), 17-44.
Modeling cycle times in production planning models for wafer fabrication: Kacar, N. B. and Monch, L. and Uzsoy, R. (2016), IEEE Transactions on Semiconductor Manufacturing, 29(2), 153-167.
Modeling for the equitable and effective distribution of donated food under capacity constraints: Orgut, I. S. and Ivy, J. and Uzsoy, R. and Wilson, J. R. (2016), IIE Transactions, 48(3), 252-266.
Modeling the effect of public health resources and alerting on the dynamics of pertussis spread: Yaylali, E. and Ivy, J. S. and Uzsoy, R. and Samoff, E. and Meyer, A. M. and Maillard, J. M. (2016), Health Systems, 5(2), 81-97.
Modeling the impact of new product introduction on the output of semiconductor wafer fabrication facilities: Manda, A. B. and Uzsoy, R. and Kempf, K. G. and Kim, S. (2016), Winter Simulation Conference Proceedings, (), 2547-2558.
Special section on emerging advances in logistics systems: Integrating remote sensing, IT, and autonomy: Fanti, M. P. and Ukovich, W. and Uzsoy, R. (2016), IEEE Transactions on Automation Science and Engineering, 13(4), 1420-1421.
A chance constraint based multi-item production planning model using simulation optimization: Albey, E. and Uzsoy, R. and Kempf, K. G. (2016), Winter Simulation Conference Proceedings, (), 2719-2730.
A metamodel-based Monte Carlo simulation approach for responsive production planning of manufacturing systems: Li, M. Q. and Yang, F. and Uzsoy, R. and Xu, J. (2016), Journal of Manufacturing Systems, 38(), 114-133.
Demand modeling with forecast evolution: An application to production planning: Albey, E. and Norouzi, A. and Kempf, K. G. and Uzsoy, R. (2015), IEEE Transactions on Semiconductor Manufacturing, 28(3), 374-384.
Estimating clearing functions for production resources using simulation optimization: Kacar, N. B. and Uzsoy, R. (2015), IEEE Transactions on Automation Science and Engineering, 12(2), 539-552.
Zero-order production planning models with stochastic demand and workload-dependent lead times: Aouam, T. and Uzsoy, R. (2015), International Journal of Production Research, 53(6), 1661-1679.
Assessing the impact of alternative continuous improvement programmes in a flow shop using system dynamics: Godinho, M. and Uzsoy, R. (2014), International Journal of Production Research, 52(10), 3014-3031.
Modeling the evolution of dependency between demands, with application to inventory planning: Norouzi, A. and Uzsoy, R. (2014), IIE Transactions, 46(1), 55-66.
Statistical optimum estimation techniques for combinatorial optimization problems: A review and critique: Giddings, A. P. and Rardin, R. L. and Uzsoy, R. (2014), Journal of Heuristics, 20(3), 329-358.
A comparison of multiple linear regression approaches for fitting clearing functions to empirical data: Kacar, N. B. and Uzsoy, R. (2014), International Journal of Production Research, 52(11), 3164-3184.
The impact of lot-sizing in multiple product environments with congestion: Kang, Y. and Albey, E. and Hwang, S. and Uzsoy, R. (2014), Journal of Manufacturing Systems, 33(3), 436-444.
Planning wafer starts using nonlinear clearing functions: A large-scale experiment: Kacar, N. B. and Monch, L. and Uzsoy, R. (2013), IEEE Transactions on Semiconductor Manufacturing, 26(4), 602-612.
The impact of simultaneous continuous improvement in setup time and repair time on manufacturing cycle times under uncertain conditions: Godinho, M. and Uzsoy, R. (2013), International Journal of Production Research, 51(2), 447-464.
An experimental comparison of production planning using clearing functions and iterative linear programming-simulation algorithms: Kacar, N. B. and Irdem, D. F. and Uzsoy, R. (2012), IEEE Transactions on Semiconductor Manufacturing, 25(1), 104-117.
Modelling and analysis of semiconductor manufacturing in a shrinking world: Challenges and successes: Chien, C. F. and Dauzere-Peres, S. and Ehm, H. and Fowler, J. W. and Jiang, Z. B. and Krishnaswamy, S. and Lee, T. E. and Monch, L. and Uzsoy, R. (2011), European Journal of Industrial Engineering, 5(3), 254-271.
Prioritising production and engineering lots in wafer fabrication facilities: A simulation study: Crist, K. and Uzsoy, R. (2011), International Journal of Production Research, 49(11), 3105-3125.
Using a mathematical programming model to examine the marginal price of capacitated resources: Kefeli, A. and Uzsoy, R. and Fathi, Y. and Kay, M. (2011), International Journal of Production Economics, 131(1), 383-391.
The effect of shop floor continuous improvement programs on the lot size-cycle time relationship in a multi-product single-machine environment: Godinho, M. and Uzsoy, R. (2011), International Journal of Advanced Manufacturing Technology, 52(5-8), 669-681.
Estimating clearing functions from simulation data: Kacar, N. B. and Uzsoy, R. (2010), Winter Simulation Conference Proceedings, (), 1699-1710.
An exploratory analysis of two iterative linear programming-simulation approaches for production planning: Irdem, D. F. and Kacar, N. B. and Uzsoy, R. (2010), IEEE Transactions on Semiconductor Manufacturing, 23(3), 442-455.
A genetic algorithm for a single product network design model with lead time and safety stock considerations: Sourirajan, K. and Ozsen, L. and Uzsoy, R. (2009), European Journal of Operational Research, 197(2), 599-608.
An integrated production planning model with load-dependent lead-times and safety stocks: Orcun, S. and Uzsoy, R. and Kempf, K. G. (2009), Computers & Chemical Engineering, 33(12), 2159-2163.
Exact and heuristic procedures for capacity expansion problems with congestion: Kim, S. and Uzsoy, R. (2008), IIE Transactions, 40(12), 1185-1197.
Integrated planning of production and engineering process improvement: Kim, S. and Uzsoy, R. M. (2008), IEEE Transactions on Semiconductor Manufacturing, 21(3), 390-398.
An Experimental study of an iterative simulation-optimization algorithm for production planning: Irdem, D. F. and Kacar, N. B. and Uzsoy, R. (2008), 2008 Winter Simulation Conference, vols 1-5, (), 2176-2184.

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