E-mail : prashy at uta dot edu or prashant dot tarun at gmail dot com

Address :

COSMOS (Center On Stochastic Modeling, Optimization & Statistics),
Department of Industrial and Manufacturing Systems Engineering,
P.O. Box 19017,
The University of Texas at Arlington,
Arlington, TX-76019.

OR

412 S. Cooper St. Apt # 19 , Arlington, Texas-76013.

Biographical Sketch

Prashant is working towards a Ph.D. in the Department of Industrial and Manufacturing Systems Engineering (IMSE) at the University of Texas at Arlington (UTA). He received a Master of Science in Industrial Engineering (2002) from UTA, and a Bachelor of Science in Mechanical Engineering (1996) from B.V.M. Engineering College, India. He worked for over 4 years (1996-2000) in the area of Thermal Power Project Proposals, Business Development, Construction, Planning, and Management with Larsen & Toubro Limited (L&T), India. His research interests include applied operations research, optimization, multicriteria/multiobjective optimization, applied statistics, stochastics, productivity and efficiency measurement, military & naval logistics, supply chain, data mining and design of experiments. In recognition of an outstanding academic track record, he has been a recipient of STEM Doctoral Fellowship, Graduate School Scholarship, Graduate Teaching & Research Associateships. He is a member of Alpha Pi Mu, a National Industrial Engineering Honor Society, and Tau Beta Pi, a National Engineering Honor Society. He is a student member of IIE and INFORMS.

Ph.D Research Synopsis

Dissertation Title: A Dynamic Multiple Stage, Multiple Objective Optimization Model with an application to a Wastewater Treatment System.

Supervising Professors:Dr. Victoria C.P. Chen, Dr. H.W.Corley

Abstract: Decision-making for complex dynamic systems involves multiple objectives. Various methods balance the tradeoffs of multiple objectives, the most popular being weighted-sum and constraint-based methods. Under convexity assumption an optimal solution to the constraint-based problem can also be obtained by solving the weighted-sum problems, and all Pareto optimal solutions can be obtained by systematically varying the weights or constraint limits. The challenge is to generate meaningful weights or constraint limits that yield practical solutions. In this dissertation, we utilize the Analytic Hierarchy Process (AHP) and develop practical approaches for generating weight vectors successively for dynamic multistage, multiobjective problems. Our approach has three phases: (1) the input phase obtains judgments on pairs of objectives for the first stage and on dependencies from one stage to the next, (2) the matrix generation phase uses the input phase information to construct pairwise comparison matrices for the subsequent stages, and (3) the weighting phase applies AHP concepts, with the necessary weight vectors obtained from expert opinions. These weights conform to the subjective ratio scale of AHP, and the geometric mean maintains this scale at each stage. Finally, we discuss the consistency of our pairwise matrices, note the convergence, and apply our methods to a stochastic dynamic programming formulation for evaluating options in a wastewater treatment system.

Please refer to my curriculum vitae for a detailed description of my current and past research.

Current Position held at IMSE@UTA

Position: Graduate Research Associate

Research Project: Deicing Optimization Prototype Refinement Project for DFW International Airport.

Position held during Fall 2007 at IMSE@UTA

Position: Graduate Teaching Associate

Courses Handled: Advanced Engineering Statistics (IE 5318), Design of Experiments for Quality (IE 6308) .

Course Instructor: Dr. Victoria C. P. Chen.

Please refer to my curriculum vitae for a detailed description of present and past work experiences.

Download Curriculum Vitae

Text Version: Click Here, Pdf Version: Click Here

Publications

1. Tarun, P. K., V. C. P. Chen, and H. W. Corley. "A Dynamic Multiple Stage, Multiple Objective Optimization Model," In Proceedings of the 2007 IE Research Conference, Nashville, TN, 2007.
2. Chung, K. –F., H. W. Corley, and P. K. Tarun. “A Dynamic Programming Approach to the Design of Composite Aircraft Wings,” COSMOS Technical Report 07-03, The University of Texas at Arlington, Arlington, TX, 2007. (http://ieweb.uta.edu/TechReports/index.htm)
3. Tarun, P. K., V. C. P. Chen, and H. W. Corley. “Incorporating Decision Makers’ Inputs in a Dynamic Multistage Multiobjective Model,” In Proceedings of the 2008 IE Research Conference, Vancouver, British Columbia, Canada, 2008. (SUBMITTED)
4. Fan H., P. K. Tarun, D. T. Shih, S. B. Kim, V. C. P. Chen, J. M. Rosenberger, and D. Bergman. Statistical Data Mining for the Environmental Impact of Airport Deicing Activities, Journal of Information Technology and Management (IMT), Special Issue on Artificial Intelligence and Data Mining. (SUBMISSION DEADLINE: April 15, 2008)
5. Tarun, P. K., V. C. P. Chen, and H. W. Corley. Implementing Geometric Mean-Based Methods for the Multistage Multiobjective Optimization of a Wastewater Treatment System, Operational Research: An International Journal (ORIJ), Special Issue on Optimization Models in Environment and Sustainable Development. (SUBMISSION DEADLINE: October 31, 2008)
6. Chen, V. C. P., P. K. Tarun, H. Fan, S. B. Kim, J. M. Rosenberger, and D. Bergman. Data-Driven Optimization for Minimizing the Environmental Impact of Airport Deicing Activities, European Journal of Operational Research. (working)
7. Tarun, P. K., V. C. P. Chen, and H. W. Corley. Convergence of Geometric Mean-Based Methods for Computing Pairwise Comparison Matrices, European Journal of Operational Research. (working)
8. Tarun, P. K., V. C. P. Chen, and H. W. Corley. Consistency of Geometric Mean-Based Pairwise Comparison Matrices. (working)
9. Bush, H. M., V. C. P. Chen, and P. K. Tarun. Functional and Linkage Ranking Algorithms for Nonparametric Multivariate Quality Control, Journal of Quality Technology. (working)
10. Corley, H. W. and P. K. Tarun. Reciprocal Optimization, Management Science. (working)

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© 2008 Prashant Tarun