Contributors

Abstract

Ali E. Abbas (“ One-Switch Independence for Multiattribute Utility Functions ”) is an associate professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana–Champaign. He received an M.S. in electrical engineering (1998), an M.S. in engineering economic systems and operations research (2001), a Ph.D. in management science and engineering (2004), and a Ph.D. (minor) in electrical engineering, all from Stanford University. His research interests include utility theory, decision making with incomplete information and preferences, dynamic programming, and information theory. He is a senior member of the IEEE, a member of the Institute for Operations Research and the Management Sciences (INFORMS), a former council member of the Decision Analysis Society of INFORMS, an organizer of several decision analysis conferences, and has served on various committees of INFORMS including the decision analysis student paper award and the Junior Faculty Initiative Group. He is also an associate editor for the INFORMS journals Decision Analysis and Operations Research and coeditor of the DA column in education for Decision Analysis Today. Shipra Agrawal (“ A Unified Framework for Dynamic Prediction Market Design ”) is a Ph.D. student in the Department of Computer Science at Stanford University, working under the direction of Yinyu Ye. Her current research interests include online and stochastic optimization, prediction markets, and game theory. Sigrún Andradóttir (“ Queueing Systems with Synergistic Servers ”) is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Her research interests are in the simulation and applied probability fields. More specifically, her research is focused on increasing the efficiency of stochastic simulations so that larger and more complex systems can be analyzed and optimized via simulation, and on determining how organizations can utilize flexible resources more effectively. U. Ayesta (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) is an IKERBASQUE researcher at the Basque Center for Applied Mathematics, Derio, Spain. Previously he was a CNRS researcher at LAAS, Toulouse, France and an ERCIM postdoc fellow at CWI, Amsterdam, The Netherlands. He received the Ph.D. degree in computer science from Universite de Nice–Sophia Antipolis (France). His Ph.D. research work was carried out at the research laboratories of INRIA (MAESTRO team) and France Telecom R&D. Urtzi Ayesta holds an M.Sc. degree in electrical engineering from Columbia University and a Diplome in telecommunication engineering from Nafarroako Unibertsitate Publikoa-Universidad Publica de Navarra (Spain). Hayriye Ayhan (“ Queueing Systems with Synergistic Servers ”) is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Her interests lie in the area of analysis and control of queueing systems. The paper in this issue, coauthored with S. Andradóttir and D. G. Down, is a result of the authors' common interest in developing dynamic server assignment policies that maximize throughput in queueing networks with flexible servers. David E. Bell (“ One-Switch Independence for Multiattribute Utility Functions ”) is a professor at Harvard Business School. Like the current paper, most of his work has centered on finding ways to assess multiattribute utility functions accurately but tractably. His first papers in Operations Research, on integer programming and on utility functions for time streams, appeared in 1977. His best known Operations Research paper, on regret, appeared in 1982. He was an early chair of the Decision Analysis Society, was the program chair of the 1976 ORSA-TIMS conference in Boston, and was awarded the 2001 Ramsey Medal. Bahar Biller (“ Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs ”) is an assistant professor of operations management and manufacturing at Carnegie Mellon University. Her primary research interest lies in the area of computer simulation experiments for stochastic systems and, more specifically, in the simulation methodology for dependent input processes with applications to financial markets and global supply chains. Arnab Bisi (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is an assistant professor at the Krannert School of Management of Purdue University. His research and teaching interests include stochastic models, statistics, inventory. and supply chain management. He received a Ph.D. in mathematics and statistics from Hong Kong University of Science and Technology, an M.Stat. degree from the Indian Statistical Institute, and a B.Sc. in statistics from the University of Calcutta. Chien-Ming Chen (“ Efficient Resource Allocation via Efficiency Bootstraps: An Application to R&D Project Budgeting ”) is an assistant professor of operations management at the Nanyang Business School (NBS) of Nanyang Technological University in Singapore. Prior to his position at NBS, he was a postdoctoral scholar and lecturer at the UCLA Institute of the Environment and Sustainability. His main research interests include environmental issues in operations and management, as well as theories and applications of production economics. His research work has been published in Production and Operations Management, the European Journal of Operational Research, and other publications. Yihsu Chen (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is an assistant professor in environmental economics at the University of California, Merced, with a joint appointment between the School of Social Sciences, Humanities and Arts and the School of Engineering. He is also an affiliated researcher with PSERC (Power Systems Engineering Research Center), UCE3 (University of California Center for Energy and Environmental Economics) and SNRI (Sierra Nevada Research Institute.) His research focuses on understanding industry's response to energy and environmental regulations. His current research also explores the impacts of transportation infrastructure on the local air quality and human health. Sofie Coene (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a postdoctoral student at the Faculty of Business and Economics at the University of Leuven, Belgium. She obtained her Ph.D. with a thesis entitled “Routing Problems with Profits and Periodicity” at the Katholieke Universiteit Leuven in 2009. Her research interests are in combinatorial optimization and its applications in routing and logistics. Michele Conforti (“ A Geometric Perspective on Lifting ”) is a professor of operations research in the Mathematics Department of the University of Padua. He holds a Ph.D. from Carnegie Mellon University. His research interests are in graph theory, integer programming and combinatorial optimization. He is a recipient of the Fulkerson Prize. Canan G. Corlu (“ Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs ”) is a Ph.D. candidate in the Tepper School of Business at Carnegie Mellon University. Her research interests include the design of large-scale simulations with applications to inventory management and the applications of operations research techniques to nonprofit organizations. Gérard Cornuéjols (“ A Geometric Perspective on Lifting ”) is IBM Professor of Operations Research at the Tepper School of Business at Carnegie Mellon University. He has a Ph.D. from the School of OR and IE at Cornell University. His research interests are in integer programming and combinatorial optimization. He received the Lanchester Prize, the Fulkerson Prize, and the Dantzig Prize. Maqbool Dada (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is a professor in operations management at the Johns Hopkins Carey Business School. His research and teaching interests include inventory theory, pricing models, and service operations. He received a Ph.D. in management from Massachusetts Institute of Technology and a B.S. in industrial engineering and operations management from the University of California. Evrim Dalkiran (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is a Ph.D. candidate in the Grado Department of Industrial and Systems Engineering at Virginia Polytechnic Institute and State University. Her research areas include polynomial programming, reformulation-linearization technique (RLT), and global optimization. This paper relates to her interest in decision analysis and mixed-integer programming. Erick Delage (“ A Unified Framework for Dynamic Prediction Market Design ”) graduated from Stanford University with a Ph.D. in electrical engineering under the supervision of Yinyu Ye. His thesis explores tractable methods that account for risks related to parameter and distribution uncertainty in continuous stochastic optimization problems. In June 2009, he joined the Department of Management Sciences at HEC Montréal as an assistant professor. Douglas G. Down (“ Queueing Systems with Synergistic Servers ”) is a professor in the Department of Computing and Software at McMaster University. One of his current interests is how one may exploit flexibility to construct effective scheduling schemes in distributed server systems. The paper in this issue, coauthored with S. Andradóttir and H. Ayhan, is the result of the authors' common interest in developing dynamic server assignment policies that maximize throughput in queueing networks with flexible servers. Alaa H. Elwany (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an assistant professor of maintenance, reliability, and quality in the Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, The Netherlands. He received his Ph.D. in industrial and systems engineering in 2009 from the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He earned a B.Sc. in production engineering and an M.Sc. in industrial engineering from Alexandria University, Egypt in 2002 and 2004, respectively. His main research interests are in the application of stochastic models in operations research to manufacturing systems and service logistics, with an emphasis on degradation modeling, maintenance management, and spare parts inventories. Nagi Z. Gebraeel (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an associate professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He received his M.S. and Ph.D. from Purdue University in 1998 and 2003, respectively. He holds a B.Sc. in production engineering from the University of Alexandria, Egypt. His research focuses on improving the accuracy of predicting unexpected failures of engineering systems by leveraging sensor-based data streams. His major research interests are in the areas of degradation modeling and sensor-based prognostics, reliability engineering, sensor-driven maintenance operations, and logistics. Theodore S. Glickman (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is professor of decision sciences in the George Washington University (GWU) School of Business. He holds degrees in physics and operations research from Stony Brook University and the Johns Hopkins University, respectively. Prior to GWU, he taught at Boston University and Virginia Tech. His research centers on risk analysis and its application to transportation systems and public policy issues. This paper was stimulated by his interest in the field of homeland security. Benjamin F. Hobbs (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is the Theodore K. and Kay W. Schad Professor of Environmental Management in the Department of Geography and Environmental Engineering (DoGEE) of the Johns Hopkins University, Baltimore, Maryland, where he has been on the faculty since 1995. He also has a joint appointment in the Department of Applied Mathematics and Statistics. From 1977–1979, he was economics associate at Brookhaven National Laboratory, National Center for Analysis for Energy Systems. He later joined the Energy Division of Oak Ridge National Laboratory from 1982–1984. Between 1984 and 1995, he was on the faculty of the Department of Systems Engineering and Civil Engineering at Case Western Reserve University, Cleveland, Ohio. He serves on the California ISO Market Surveillance Committee, the Public Interest Advisory Committee of the Gas Technology Institute, and as an advisor to The Netherlands Energy Research Center (ECN). L. Jeff Hong (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is an associate professor of industrial engineering and logistics management at the Hong Kong University of Science and Technology. His research has focused on stochastic simulation and stochastic optimization, with applications in financial risk management, environmental policies, and logistics and supply chain management. Salal Humair (“ Optimizing Strategic Safety Stock Placement in General Acyclic Networks ”) is a visiting associate professor at the Harvard School of Public Health in the Department of Global Health and Population. His current research interests are in the area of operations research applied to large-scale systems such as health care and water systems. Sunder Kekre (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is the Bosch Professor of Manufacturing and Operations at the Tepper School of Business at Carnegie Mellon University. His research interests are interdisciplinary and include modeling the performance and impact of new technologies, strategic and operational assessment of product and process designs, and implications on the firm's value chain of emerging and merged markets. Guoming Lai (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is an assistant professor in the Department of Information, Risk, and Operations Management of the McCombs School of Business at the University of Texas at Austin. His research interests include the management of real options in commodity and energy industries, the interfaces of operations with finance and marketing, and classical supply chain management topics. John D. C. Little (“ Little's Law as Viewed on Its 50th Anniversary ”) is an Institute Professor at MIT and a Professor of Management Science at the MIT Sloan School. He has been in the Marketing Group at Sloan for many years but returned to his queuing roots in 2008 to write a chapter on Little's Law for an operations management book. This was done with his colleague Stephen Graves of the MIT Sloan Operations Management Group. The current paper is the result of realizing that 2011 is the 50th anniversary of his paper “A Proof for the Queuing Formula: L = λW,” published in Operations Research. In the current paper, Little has surveyed the importance of Little's Law in the evolution of queuing theory and practice. At present he is interested in extending Little's Law still further into applications to practice and in returning to some of his marketing science agenda. Andrew L. Liu (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is an assistant professor in the School of Industrial Engineering at Purdue University. His primary research interests lie in the interactions of optimization, game theory, and industrial organization, with applications to modeling and analyzing energy markets and environmental policy. His secondary interests involve risk management in energy markets. In addition to his university experience, he has worked at ICF International as a senior associate, responsible for developing optimization and stochastic models on investment and environmental policy analysis related to electricity markets. Lisa M. Maillart (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an assistant professor in the Industrial Engineering Department at the University of Pittsburgh. Prior to joining the faculty at Pitt, she served on the faculty of the Department of Operations in the Weatherhead School of Management at Case Western Reserve University. She received her M.S. and B.S. in industrial and systems engineering from Virginia Polytechnic Institute and State University, and her Ph.D. in industrial and operations engineering from the University of Michigan. Her primary research interest is in sequential decision making under uncertainty, with applications in medical decision making and maintenance optimization. Karthik Natarajan (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is an associate professor in the Department of Management Sciences, City University of Hong Kong. His research interests include mathematical finance and stochastic optimization. This paper arises from his supervision of Zhichao Zheng's honors thesis in the Department of Mathematics, National University of Singapore. R. Núñez-Queija (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) is associate professor of operations research at the Faculty of Economics and Business and part-time full professor of industrial mathematics at the Faculty of Science, both at the University of Amsterdam. He is also affiliated with CWI, the Center for Mathematics and Computer Science in Amsterdam. In 1995 he obtained his M.Sc. in econometrics and operations research at the Free University of Amsterdam. He wrote his dissertation at CWI and obtained his Ph.D. from Eindhoven University of Technology (TU/e) in 2000. He was subsequently affiliated with INRIA (France), CWI, TU/e, and with TNO Information and Communication Technology. He is associate editor for Mathematical Methods of Operations Research and Performance Evaluation, and was coeditor of special issues of Queueing Systems, Annals of Operations Research, and Lecture Notes in Computer Science and Performance Evaluation. Pamela Pen-Erh Pei (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is a research associate at United BioSource in Lexington, Massachusetts. She received her Ph.D. in operations research from Massachusetts Institute of Technology in 2008 under the supervision of David Simchi-Levi, and M.S. and B.S. in mathematical sciences, and B.A. in economics from the Johns Hopkins University in 2003. Previously, she also worked as a quantitative research associate at State Street Associates and as an analyst for American International Group in Hong Kong and Shanghai, China. Mark Peters (“ A Unified Framework for Dynamic Prediction Market Design ”) earned his Ph.D. in management science and engineering from Stanford University under the guidance of Yinyu Ye. His research has been focused on applying concepts from convex optimization to prediction markets and dynamic pricing problems. Alan Scheller-Wolf (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) teaches in the Operations Management Area at the Tepper School of Business of Carnegie Mellon University. His research focuses on stochastic processes and how they can be used to estimate and improve the performance of computer, communication, manufacturing and service systems, inventory systems, and supply chains. Nicola Secomandi (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is an associate professor of operations management at the Tepper School of Business of Carnegie Mellon University. His research interests include real options in the energy and commodity industries, the interface between operations and finance, revenue and supply chain management, and logistics under uncertainty. Hanif D. Sherali (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is a University Distinguished Professor and the W. Thomas Rice Chaired Professor of Engineering in the Industrial and Systems Engineering Department at Virginia Polytechnic Institute and State University. He is an elected member of the National Academy of Engineering. His areas of research interest are in optimization theory and its applications. This paper relates to his general interest in risk management and global optimization of nonconvex programs. David Simchi-Levi (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is a professor of engineering systems at Massachusetts Institute of Technology. The work described in this paper is part of a larger research project that deals with effective supply chain and procurement strategies that improve supply chain performance. Related papers appeared recently in Operations Research and Mathematics of Operations Research. Frits C. R. Spieksma (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a professor in the Faculty of Business and Economics at the University of Leuven, Belgium. He has a Ph.D. in operations research from Maastricht University (1992). His research interests are in operations research, especially combinatorial optimization problems and their applications. Chung Piaw Teo (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is a professor in the Department of Decision Sciences at the NUS Business School, National University of Singapore. His research interests include the analysis and design of algorithm, discrete optimization, and supply chain management. Tristan Tomala (“ Fault Reporting in Partially Known Networks and Folk Theorems ”) is associate professor of economics at the Economics and Decision Sciences Department of HEC Paris. His research interests include game theory, repeated games, models of strategic communication, and cryptography. This work is part of a literature that explores the interplay between game theory and distributed computing. Tunay I. Tunca (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is an associate professor of operations, information, and technology at the Graduate School of Business at Stanford University, where he received his Ph.D. in 2002. His research interests include economics of technology and operations management, auctions and contracts for procurement, and the role of information and forecasting in supply chains. I. M. Verloop (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) received the M.Sc. degree in mathematics from Utrecht University, The Netherlands, in 2005 and a Ph.D. from the Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands, in 2009. Her Ph.D. research was carried out within the Probability, Networks and Algorithms Department of the Center for Mathematics and Computer Science (CWI) in Amsterdam, The Netherlands. She is a post-doc at the Basque Center for Applied Mathematics (BCAM), Spain. Her research interests are in the performance analysis of communication networks, scheduling, and queueing theory. Mulan X. Wang (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is a quantitative analyst at DTE Energy Trading. Her responsibilities include natural gas structure deal pricing and statistical arbitrage modeling. Zizhuo Wang (“ A Unified Framework for Dynamic Prediction Market Design ”) is a Ph.D. student in the Department of Management Science and Engineering at Stanford University. His research interests include stochastic and robust optimization, information markets, and Internet economics. His advisor is Yinyu Ye. Sean P. Willems (“ Optimizing Strategic Safety Stock Placement in General Acyclic Networks ”) is associate professor of operations and technology management at Boston University's School of Management. His research focuses on supply chain design and optimization problems. Gerhard J. Woeginger (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU Eindhoven). He is chair of the combinatorial optimization group at the TU Eindhoven. He received his Ph.D. at the TU Graz (Austria) in 1990 and has worked at the Free University Berlin, TU Graz, University of Twente, and since 2004 at TU Eindhoven. His research interests are in combinatorial optimization and complexity theory. Yanyi Xu (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is an assistant professor of operations management at the School of Management, Shanghai University. He received a Ph.D. in operations management from Purdue University, an M.S. in management science from Fudan University, and a B.S. in transportation science and engineering from Tongji University. His research interests lie in the area of inventory management, supply chain management, and marketing-operations interface. Yi Yang (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is a Ph.D. student in the Department of Computer Science at the University of California, Irvine. This paper is part of his M.Phil. thesis completed under the supervision of L. J. Hong at the Hong Kong University of Science and Technology. Yinyu Ye (“ A Unified Framework for Dynamic Prediction Market Design ”) is a professor of management science and engineering and is affiliated with the Institute of Computational and Mathematical Engineering of Stanford University. His current research interests include continuous and discrete optimization and operations research. Giacomo Zambelli (“ A Geometric Perspective on Lifting ”) is a research fellow at the University of Padua. He has a Ph.D. from the Tepper School of Business at Carnegie Mellon University. His research interests are in integer programming and combinatorial optimization. Liwei Zhang (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is a professor at the School of Mathematical Sciences at Dalian University of Technology. He received his Ph.D. from Dalian University of Technology in 1998. His research interests include nonlinear programming, variational analysis and optimization, and stochastic programming. Zhichao Zheng (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is a Ph.D. student in the Department of Decision Sciences at the NUS Business School, National University of Singapore. His research interests include the analysis and design of robust systems, decision making under uncertainty, and issues in supply chain management. Joe Zhu (“ Efficient Resource Allocation via Efficiency Bootstraps: An Application to R&D Project Budgeting ”) is professor of operations at the School of Business at Worcester Polytechnic Institute. He publishes extensively in journals such as Management Science, Operations Research, IIE Transactions, Naval Research Logistics, European Journal of Operational Research, Journal of the Operational Research Society, Annals of Operations Research, and the Journal of Portfolio Management. He is an author of several books and serves as an area editor for Omega.