Gintaras Reklaitis

Burton and Kathryn Gedge Distinguished Professor of Chemical Engineering
Co-director, Pharmaceutical Technology & Education Center
Deputy Director, NSF ERC on Structured Organic Composites

Purdue University
School of Chemical Engineering
Forney Hall of Chemical Engineering
480 Stadium Mall Drive
West Lafayette, IN 47907-2100
(765) 494-9662 (office)
(765) 494-0805 (fax)
Joined Purdue in 1970
B.S. Illinois Institute of Technology, 1965
M.S. Stanford University, 1969
Ph.D Stanford University, 1969

Research Interests

Professor Reklaitis' research involves the application of computing, information and systems technology to support the complex decisions inherent to the design and operation of processing systems. Areas of recent emphasis are investigation of approaches to support batch and semi-continuous operations as well as methodology for plant- and enterprise-wide planning and optimization with applications in the pharmaceutical industry and in integrated energy systems.

Batch process design encompasses the selection of components, processing recipe, operational modes, equipment type and capacity and unit operating profiles. Batch product and plant design problems are challenging because they involve discrete choices, dynamics, and parameter uncertainty. Their solution requires developments in process and logistical decision modeling, combinatorial optimization techniques, combined discrete-continuous simulation methods, and probabilistic decision tools such as Monte Carlo methods. Additionally, these applications require knowledge management tools to insure that data, information and models are accessible, maintained and organized to effectively support decision processes. Problems of current interest include development and design of pharmaceutical products and processes, including active ingredients and drug products.

Operational problems include the scheduling of multipurpose production facilities, taking into account technical, production, financial and market driven uncertainties, and the integration of scheduling decisions with enterprise-wide planning and process unit control functions. In the process setting, schedules define the assignment of equipment and other resources to manufacturing tasks, the sequencing of the execution of these tasks, and the determination of the timing for their execution. Areas of current interest include the investigation of techniques for developing robust schedules which give good performance in the presence of uncertainty, resource allocation involving resource level-task duration trade-offs, and optimal operating strategies for batch and continuous separation systems.

Enterprise-wide optimization and planning research is concerned with the formulation of mathematical models and development of effective solution strategies under which the operation of integrated production facilities, multiple interacting plant sites, and entire supply chains can be effectively coordinated. Current plant-scale emphasis is on real time process management frameworks which can accommodate combined batch and continuous plant operations with applications in pharmaceutical manufacture. Enterprise-wide planning research is concerned with the development of models and methods for addressing problems of planning under uncertainty, including management of product development pipelines, supply chain management and energy systems analysis. The technologies which are employed for these purposes include large scale linear, nonlinear, and discrete optimization methods, statistical techniques, knowledge-based methods, agent-based strategies as well as combined discrete-continuous simulation tools.

Research Group

Graduate Students

  • Easa Al-Musleh
  • Anuradha Bhat
  • Anshu Gupta
  • Christopher Hagmann
  • Laura Hirshfield
  • Elcin Icten
  • Matthew Louvier

Awards and Honors

National Academy of Engineering, 2007
Professional Achievement Award, Illinois Institute of Technology, May 2006
Best Paper of 2006, Computers & Chemical Engineering, (co-author)
Editor-in-chief, Computers & Chemical Engineering (Elsevier), 1986-2008
Editorial Advisory Board, Journal of Pharmaceutical Innovation (Elsevier), 2006-present

Selected Publications

“Simulation-Optimization Approach to Clinical Trial Supply Chain Management with Demand Scenario Forecast,” Chen, L. Mockus, S. Orcun and G.V. Reklaitis, Comput. & Chem Engr, 40, 82-96 (2012)

“Quantifying System Level Benefits from Distributed Solar and Energy Storage”, S. Huang, J. Xiao, J. F. Pekny, G. V. Reklaitis, and A. Liu, J. Energy Engr, 138, 33-42 DOI:10.1061/(ASCE)EY.1943 (2012)

"The Effects of Vehicle-to-Grid Systems on Wind Power Integration", B-M Hodge, S. Huang, A. Shukla, J. F. Pekny, V. Venkatasubramanian, and G. V. Reklaitis, Wind Energy DOI:10.1002/we.520, in press (2012)

”Challenges and Opportunities in Enterprise-wide Optimization in the Pharmaceutical Industry,” J. M. Lainez-Aguirre, E. Schaefer, and G. V. Reklaitis, Comput. & Chem Engr, in press (2012)

“Risk Pooling Strategy in the Pharmaceutical Clinical Trial Supply Chain Management,” Y. Chen, J. F. Pekny, and G. V. Reklaitis, I&EC Research, in press (2012)

“The Effects of Electricity Pricing Structure on the Competitiveness of Plug-In Hybrid Electric Vehicles in the California Market,” S. Huang, B.-M. Hodge, F. Taheripour, G. V. Reklaitis, J. Pekny, and W. Tyner, Energy Policy, 39, 1552–1561 (2011)

“Pharmacokinetic Based Design of Individualized Dosage Regimens Using a Bayesian Approach,” J. M. Lainez, G. Blau, L. Mockus, S. Orcun, and G. V. Reklaitis, I&EC Research (doi: 10.1021/ie101610r) 50, 5114-5130 (2011)

“Operating Reserve Policies with High Wind Power Penetration,” J. Xiao, B.-M. Hodge, J. F. Pekny, and G. V. Reklaitis, Comput. & Chem Engr, 35, 1876-1885 (2011)

“Optimal Design of Multiperiod Batch-Storage Network including Transportation Processes,” G. Yi, and G.V. Reklaitis, AIChE J, 57, 2821-2840 (2011)

“A Multi-Paradigm Modeling Framework for Energy Systems Simulation and Analysis,” B.-M. Hodge, S. Huang, J. J. Sirrola, J. F. Pekny and G. V. Reklaitis, Comput. & Chem Engr, 35, 1725-1737 (2011)

“A Bayesian Approach to Pharmaceutical Product Quality Risk Quantification,” L. Mockus, J. M. Lainez, G. V. Reklaitis, and L. Kirsch, Informatica, 22, 1-22 (2011)

“Process Systems Engineering: From Solvay to Modern Bio- and Nanotechnology. A History of Development, Successes and Prospects for the Future,” G. Stephanopoulos, and G. V. Reklaitis, Chem Eng Sci, 66, 4272-4306 (2011)

"A Variational Bayesian Approach for Dosage Regimen Individualization,” J. M. Lainez-Aguirre, L. Mockus, G. Blau, S. Orcun, and G. V. Reklaitis, Computer Aided Process Engineering, 29, 1563-1567 (2011)

“Real-Time Process Management in Particulate and Pharmaceutical Systems,” A. Giridhar, I. Hamdan, G. Joglekar, V. Venkatasubramanian, and G. V. Reklaitis, Computer Aided Process Engineering, 29, 1035-1039 (2011)