Volume 54, Issue 5 Contributors

Zvia Agur (“Optimizing Chemotherapy Scheduling Using Local Search Heuristics”) is president of the Institute for Medical Bio Mathematics (IMBM) and founder of Optimata Ltd. The concepts underlying this work have been developed as part of a life-long effort to create predictive tools for enabling patient-tailored optimal clinical treatment. Over the years Agur has developed, and experimentally validated, mathematical models predicting the dynamics of key biological, pathological and pharmacological processes in a patient undergoing drug treatment. The present work is a step forward in these concepts’ voyage from theory to the clinic.

Dieter Armbruster (“A Continuum Model for a Re-Entrant Factory”) is currently the Chair of the Department of Mathematics and Statistics at Arizona State University. He was the Co-advisor for Dan Marthaler’s Ph.D. thesis. His interest in the dynamics of production processes stems from many discussion with Karl Kempf and an NSF supported year in the Department of Industrial Engineering at Arizona State University.

Baris Ata (“Dynamic Control of a Multiclass Queue with Thin Arrival Streams”) is an Assistant Professor of Operations Management at the Kellogg School of Management, Northwestern University. His research interests include dynamic control of manufacturing and communication systems, and revenue management.

Nadjib Brahimi (“Capacitated Multi-Item Lot-Sizing Problems with Time Windows”) is an Associate Professor at the Ecole des Mines de Nantes. His work focuses on production planning and scheduling.

Ahmet Burak Keha (“A Branch-and-Cut Algorithm without Binary Variables for Nonconvex Piecewise Linear Optimization”) is an Assistant Professor in the Department of Industrial Engineering at Arizona State University. His research interests include computational and theoretical aspects of integer programming and combinatorial optimization, modern heuristic techniques and scheduling.

René Caldentey (“Revenue Management of a Make-to-Stock Queue”) is an Assistant Professor of Operations Management at the Stern School of Business, New York University. This paper was part of his Ph.D. thesis performed at MIT’s Sloan School of Management under the supervision of Lawrence Wein. His main research interests are in operations and risk management, queuing theory, and revenue management.

William L. Cooper (“Models of the Spiral-Down Effect in Revenue Management”) is an Associate Professor in the Industrial Engineering Division of the Department of Mechanical Engineering at the University of Minnesota. His research interests include stochastic modeling, revenue management, and inventory theory.

Stéphane Dauzère-Pérès (“Capacitated Multi-Item Lot-Sizing Problems with Time Windows”) is a professor at the Ecole des Mines de Saint-Etienne. His research mostly focuses on optimization in production and logistics, with applications in production planning, scheduling, and vehicle routing.

Ismael R. de Farias Jr. (“A Branch-and-Cut Algorithm without Binary Variables for Nonconvex Piecewise Linear Optimization”) is an Assistant Professor in the Industrial Engineering Department of the State University of New York Buffalo (SUNY Buffalo). Previously he held visiting appointments at CORE and Carnegie Mellon University. He holds a Ph.D. in algorithms, combinatorics, and optimization from the Georgia Institute of Technology, and M.Sc. in computer science and a B.Sc. in physics from the Federal University of Rio de Janeiro, Brazil. His current research interests include integer programming, game theory, and high-energy physics. He is currently serving as the Vice-President for Integer Programming of the Optimization Section of INFORMS.

Rafael Hassin (“Optimizing Chemotherapy Scheduling Using Local Search Heuristics”) is a professor of Operations Research in Tel Aviv University. His main research interest is Combinatorial Optimization, and in particular Network Flows and Approximation Algorithms. He has also done research in other areas such as Queue Economics and coauthored a book on equilibrium behavior in queuing systems.

Tito Homem-de-Mello (“Models of the Spiral-Down Effect in Revenue Management”) is an Associate Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University. His research interests include stochastic optimization (theory and applications), simulation methodology, and revenue management.

Tae-Chang Jo (“A Continuum Model for a Re-Entrant Factory”) is currently an Assistant Professor at the New Mexico Institute of Mining and Technology. Most of his work on this paper was done as a postdoc at Arizona State University. His research interest is mathematical modeling and scientific computing for complex systems such as physical and biological systems.

Ralph L. Keeney (“Evaluating Academic Programs: With Applications to U.S. Graduate Decision Science Programs) is a Research Professor at the Fuqua School of Business of Duke University. He is a co-author of Smart Choices and Decisions with Multiple Objectives and the author of Value-Focused Thinking. His intellectual interests concern the theory and application of decision analysis and risk analysis.

Karl Kempf (“A Continuum Model for a Re-Entrant Factory”) is Director of Decision Technologies at Intel Corporation. In this context, he is interested in modeling methodologies as well as decision and control algorithms applicable to improving the performance of production and supply chain systems.

Anton Kleywegt (“Models of the Spiral-Down Effect in Revenue Management”) is an Associate Professor in the School of Industrial and Systems Engineering at the Georgia Institute of Technology. He is interested in stochastic optimization, logistics, and dynamic pricing.

Sigal Levy (“Optimizing Chemotherapy Scheduling Using Local Search Heuristics”) was a masters student in the Department of Statistics and Operations Research at Tel Aviv University. This research was part of Sigal’s M.Sc. research while at Tel Aviv University. Her current research interest is statistical analysis of computer experiments.

Costis Maglaras (“Revenue Management for a Multi-Class Single-Server Queue via a Fluid Model Analysis”) is the Philip H. Geier, Jr. Associate Professor of Business, at Columbia University. His research focuses on quantitative pricing and revenue management, economics and operations of service systems, and, more broadly, the application of stochastic modeling in operations management. Application domains include call centers, information services, retail, manufacturing and financial services.

Johan Marklund (“Controlling Inventories in Divergent Supply Chains with Advance-Order Information”) is an Assistant Professor at Lund University, Sweden. His research interests include inventory theory, supply chain management and logistics, with a special focus on stochastic multi-echelon inventory problems.

Dan Marthaler (“A Continuum Model for a Re-Entrant Factory”) is currently working for Northrop Grumman on autonomy for unmanned systems. The supply chain work seen in the paper was a subset of his dissertation work in the Department of Mathematics and Statistics at Arizona State University.

Najib Najid (“Capacitated Multi-Item Lot-Sizing Problems with Time Windows”) is an Associate Professor in the Institute of Technology at the University of Nantes. His research topics include robust production planning, scheduling under uncertainty and on-line production control in FMS. This research work is part of a research program financed by the “Région des Pays de la Loire” on production planning and scheduling.

George L. Nemhauser (“A Branch-and-Cut Algorithm without Binary Variables for Nonconvex Piecewise Linear Optimization”) is an Institute Professor and Chandler Chair in the School of Industrial and Systems Engineering at Georgia Tech. He is a member of the Sports Scheduling Group which provides schedules for several NCAA member conferences and major league baseball. His current research interests are in solving large-scale optimization problems. His honors and awards include membership in the national Academy of Engineering, Kimball medal and Lanchester prize (twice) and Morse lecturer. He has served ORSA as Council Member, President and Editor of Operations Research. He was the founding Editor of Operations Research Letters. He is co-editor of Handbooks of Operations Research and Management Science. He is the Past Chairman of the Mathematical Programming Society.

Serguei Netessine (“Revenue Management Through Dynamic Cross-Selling in E-Commerce Retailing”) is an Assistant Professor of Operations and Information Management at the Wharton School, University of Pennsylvania. Prof. Netessine’s research focuses on strategic interactions and de-centralized decision making in operations management. This paper was motivated by his earlier work on e-commerce retailing and revenue management.

Christian Ringhofer (“A Continuum Model for a Re-Entrant Factory”) received his Ph.D. in applied mathematics in 1981 from the Technical University of Vienna, Austria. His research interests include asymptotic and numerical methods for partial differential equations, nanoelectronics simulation and supply chain modeling.

Sergei Savin (“Revenue Management Through Dynamic Cross-Selling in E-Commerce Retailing”) is an Associate Professor of Decision, Risk, and Operations at the Graduate School of Business, Columbia University. Prof. Savin’s research interests include stochastic models of service systems, healthcare service operations, revenue management, and marketing/operations coordination in the area of new product development.

Kelly E. See (“Evaluating Academic Programs: With Applications to U.S. Graduate Decision Science Programs”) is a Visiting Scholar and Lecturer at the Wharton School, University of Pennsylvania. She received her Ph.D. from Duke University in 2004. Her primary research interests are in the psychological factors influencing decision processes, with a particular focus on the management of uncertainty, and the role of power and fairness perceptions in decision making and innovation.

Detlof von Winterfeldt (“Evaluating Academic Programs: With Applications to U.S. Graduate Decision Science Programs”) is a Professor of Public Policy and Management at the University of South California and the Director of USC’s Center for Risk and Economic Analysis of Terrorism Events (CREATE). He received his Ph.D. in Mathematical Psychology from the University of Michigan in 1976. He is the co-author of two books and author or co-author of over 100 articles and reports on the foundations of decision and risk analysis and their applications to environmental, technology, and security problems.

Lawrence M. Wein (“Revenue Management of a Make-to-Stock Queue”) is the Paul E. Holden Professor of Management Science at the Graduate School of Business, Stanford University. This paper continues his longstanding interest in heavy traffic analysis of queuing control problems. His main research interests are in operations management, medicine, and homeland security.

Wenqiang Xiao (“Revenue Management Through Dynamic Cross-Selling in E-Commerce Retailing”) is a Doctoral Candidate at the Graduate School of Business, Columbia University. His current research interests include incentive contract design in supply chain, sales-force management, and revenue management.