Qing Zhang

Department of Mathematics, University of Georgia

Athens, GA 30602-6254

United States

SCHOLARLY PAPERS

12

DOWNLOADS

6

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (12)

1.

Turnpike Set Analysis in Stochastic Manufacturing Systems with Long-Run Average Cost

Optimal Control and Partial Differential Equations in Honour of Professor Alain Bensoussan’s 60th Birthday, J.L. Menaldi, E. Rofman, and A. Sulem (Eds.), IOS Press, Amsterdam, 2001, 414-423
Number of pages: 10 Posted: 05 Jun 2020
University of Texas at Dallas - Naveen Jindal School of Management, City University of Hong Kong (CityU) - Faculty of Business, Institute of Applied Mathematics Academia Sinica and Department of Mathematics, University of Georgia
Downloads 6 (747,688)

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Stochastic production planning; turnpike set; dynamic programming; long-run average cost

2.

Optimal and Hierarchical Controls in Dynamic Stochastic Manufacturing Systems: A Review

ITORMS (Interactive Transactions of OR/MS), 3(2), 2000
Posted: 06 May 2020
University of Texas at Dallas - Naveen Jindal School of Management, City University of Hong Kong (CityU) - Faculty of Business, Institute of Applied Mathematics Academia Sinica and Department of Mathematics, University of Georgia

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Optimal Control, Stochastic Manufacturing Systems

3.

Optimal Feedback Production Planning in a Stochastic N-machine Flowshop

Posted: 06 May 2020
Ernst Presman, Suresh Sethi and Qing Zhang
Russian Academy of Sciences (RAS), University of Texas at Dallas - Naveen Jindal School of Management and Department of Mathematics, University of Georgia

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Manufacturing systems; optimal control: stochastic jump processes; feedback control; piecewise-deterministic processes; dynamic programming: flowshops

4.

Asymptotic Optimal Controls in Stochastic Manufacturing Systems With Machine Failures Dependent on Production Rates

Stochastics and Stochastics Reports, 48, 1994, 97-121
Posted: 06 May 2020
Suresh Sethi and Qing Zhang
University of Texas at Dallas - Naveen Jindal School of Management and Department of Mathematics, University of Georgia

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Stochastic manufacturing systems, production planning, hierarchical control, dynamic programming, viscosity solutions

5.

Multilevel Hierarchical Open-Loop and Feedback Controls in Stochastic Marketing-Production Systems

IEEE Transactions on Robotics and Automation, 10(6), 1994, 831-839
Posted: 06 May 2020
Suresh Sethi and Qing Zhang
University of Texas at Dallas - Naveen Jindal School of Management and Department of Mathematics, University of Georgia

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aymptotic analysis, stochastic demand, marketing production

6.

Feedback Production Planning in a Stochastic Two-Machine Flowshop: Asymptotic Analysis and Computational Results

Journal Of Production Economics, 30-31, 1993, 79-93
Posted: 06 May 2020
University of Texas at Dallas - Naveen Jindal School of Management, City University of Hong Kong (CityU) - Faculty of Business, Department of Mathematics, University of Georgia and The Chinese University of Hong Kong (CUHK) - Department of Systems Engineering & Engineering Management

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aymptotic analysis, stochastic machine, state constrained problem

7.

Multilevel Hierarchical Controls in Dynamic Stochastic Marketing-Production Systems

Proceedings of the 3lst IEEE-CDC, Tucson, Arizona, Dec. 16-18, 1992, 2090-2095
Posted: 06 May 2020
Suresh Sethi and Qing Zhang
University of Texas at Dallas - Naveen Jindal School of Management and Department of Mathematics, University of Georgia

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asymptotic analysis, stochastic demand, stochastic production capacity

8.

Hierarchical Controls in Stochastic Manufacturing Systems with Machines in Tandem

Stochastics and Stochastics Reports, 41, 1992, 89-118
Posted: 06 May 2020
Suresh Sethi, Qing Zhang and Xun Yu Zhou
University of Texas at Dallas - Naveen Jindal School of Management, Department of Mathematics, University of Georgia and The Chinese University of Hong Kong (CUHK) - Department of Systems Engineering & Engineering Management

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Manufacturing systems, internal buffers, state constraints, Markov chains, hierarchical controls, near optimal controls

9.

Hierarchical Production Controls in a Two-Machine Stochastic Flowshop with a Finite Internal Buffer

Proceedings of the 3lst IEEE-CDC, Tucson, AZ, Dec. 16-18, 1992, 2074-2079
Posted: 06 May 2020
Suresh Sethi, Qing Zhang and Xun Yu Zhou
University of Texas at Dallas - Naveen Jindal School of Management, Department of Mathematics, University of Georgia and The Chinese University of Hong Kong (CUHK) - Department of Systems Engineering & Engineering Management

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asymptotic analysis, tandem machines, hierarchical production planning

10.

Hierarchical Investment and Production Decisions in Stochastic Manufacturing Systems

Stochastic Theory and Adaptive Control, T. Duncan and B. Pasik-Duncan (Eds.), Springer-Verlag, New York 1992, 426-435
Posted: 06 May 2020
University of Texas at Dallas - Naveen Jindal School of Management, University of Missouri at Columbia - Department of Mathematics (Deceased) and Department of Mathematics, University of Georgia

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Original Problem, Admissible Control, Production Decision, Hierarchical Control, Asymptotic Optimality

11.

Asymptotic Optimality in Hierarchical Control of Manufacturing Systems under Uncertainty: State of the Art

Operations Research Proceedings 1990, Aug. 28-31, 1990, Vienna, Austria, W. Buhler, G. Feichtinger, R. Hartl, F. Radermacher, and P. Stahly (Eds.), Springer-Verlag, Berlin, 1992, 249-263
Posted: 06 May 2020
Suresh Sethi and Qing Zhang
University of Texas at Dallas - Naveen Jindal School of Management and Department of Mathematics, University of Georgia

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Manufacturing System, Error Bound, Open Loop, Part Type, Level Problem

12.

Turnpike Sets in Stochastic Production Planning Problems

Proceedings of the 29th IEEE CDC, Honolulu, HI, Dec. 5-7, 1990, 590-595
Posted: 06 May 2020
University of Texas at Dallas - Naveen Jindal School of Management, Koc University - College of Administrative Sciences and Economics, Department of Mathematics, University of Georgia and Independent

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Turnpike Sets, Stochastic Production