
James B. Orlin
· E. Pennell Brooks (1917) Professor in ManagementMassachusetts Institute of Technology · Operations Research and Statistics
Active 1977–2026
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About
James B. Orlin is the E. Pennell Brooks (1917) Professor in Management and a Professor of Operations Research at the MIT Sloan School of Management. He specializes in network and combinatorial optimization, contributing to the development of improved solution methodologies in airline scheduling, railroad scheduling, logistics, network design, telecommunications, inventory control, and marketing. Orlin has co-authored the award-winning textbook, Network Flows: Theory, Algorithms, and Applications, and holds degrees in mathematics from the University of Pennsylvania and the California Institute of Technology, a MMath from the University of Waterloo, and a PhD in operations research from Stanford University. His work has been recognized with prestigious awards such as the 2020 INFORMS Khachiyan Prize for lifetime achievements in optimization, and the ACM SIGecom Test of Time Award for impactful research in computational social choice. His research and contributions have significantly advanced the fields of network flows and combinatorial optimization.
Research topics
- Computer Science
- Algorithm
- Mathematics
- Combinatorics
- Theoretical computer science
Selected publications
Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs
SIAM Journal on Discrete Mathematics · 2014-01-01 · 75 citations
articleWe present a framework for obtaining fully polynomial time approximation schemes (FPTASs) for stochastic univariate dynamic programs with either convex or monotone single-period cost functions. This framework is developed through the establishment of two sets of computational rules, namely, the calculus of $K$-approximation functions and the calculus of $K$-approximation sets. Using our framework, we provide the first FPTASs for several NP-hard problems in various fields of research such as knap…
On the power of randomization in network interdiction
Operations Research Letters · 2015-12-02 · 50 citations
articleOpen accessSenior authorRobust Monotone Submodular Function Maximization
Lecture notes in computer science · 2016-01-01 · 43 citations
book-chapterOpen access1st authorCorrespondingRobust optimization with incremental recourse
arXiv (Cornell University) · 2013-12-14 · 19 citations
preprintOpen accessSenior authorIn this paper, we consider an adaptive approach to address optimization problems with uncertain cost parameters. Here, the decision maker selects an initial decision, observes the realization of the uncertain cost parameters, and then is permitted to modify the initial decision. We treat the uncertainty using the framework of robust optimization in which uncertain parameters lie within a given set. The decision maker optimizes so as to develop the best cost guarantee in terms of the worst-case a…
On the complexity of energy storage problems
Discrete Optimization · 2017-12-20 · 18 citations
articleOpen accessSenior author
Recent grants
Nearly Optimal Solutions for Stochastic Optimization Problems
NSF · $339k · 2008–2012
Hub Based Routing of Highly Variable Traffic
NSF · $59k · 2005–2007
A Grammar-Based Approach to Dynamic Programming for Combinatorial Optimization
NSF · $110k · 2006–2008
Frequent coauthors
- 86 shared
Ravindra K. Ahuja
- 16 shared
Dushyant Sharma
- 13 shared
Nir Halman
- 12 shared
Thomas L. Magnanti
Singapore University of Technology and Design
- 12 shared
László A. Végh
London School of Economics and Political Science
- 11 shared
Özlem Ergün
Northeastern University
- 10 shared
David Simchi‐Levi
- 9 shared
Andreas S. Schulz
Education
- 1981
Ph.D., Operations Research
Stanford University
- 1976
MMath, Combinatorics and Optimization
University of Waterloo
- 1976
M.S., Mathematics
California Institute of Technology
- 1974
BA, Mathematics
University of Pennsylvania
Awards & honors
- Khachiyan Prize (2020) INFORMS Optimization Society
- Test of Time Award ACM SIGecom
- Leonard G. Abraham Prize in Communications (year not specifi…
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