INFORMS Resources
INFORMS
Introductory page from INFORMS, the professional society for operations research and analytics, explaining what the field is, its core methods such as optimization, simulation and queuing theory, and where they are applied. Gives newcomers a map of the discipline before studying specific techniques.
More resources on Operations Research
IISE - Institute of Industrial and Systems Engineers
The professional society for industrial and systems engineers, publishing ISE magazine, a body-of-knowledge outline, webinars, and its Problem Solved podcast. Useful for mapping what the discipline covers and which specialisations—supply chain, healthcare systems, ergonomics—exist.
informs.org
INFORMS is the leading professional society for operations research and analytics. The site offers resources on OR concepts and applications, access to journals and publications, conference information, member benefits, and educational and career tools.
Optimization Methods (MIT 15.093J)
Graduate survey of optimization algorithms: the simplex method, network flows, branch and bound and cutting planes, nonlinear optimality conditions, interior point methods, Newton's method, and dynamic programming. Provides lecture notes, problem sets and exams, emphasizing the mathematical structure behind each method.
OR-Tools Documentation
Google's open-source suite for combinatorial optimization, with guides and code for linear and mixed-integer programming, constraint programming via CP-SAT, vehicle routing, scheduling, and bin packing. Readers learn to model and solve these problems in Python or C++.
Optimization Methods in Management Science (MIT 15.053)
Theory, algorithms and applications of optimization for management: linear programming, network optimization, integer programming and decision trees, applied to logistics, manufacturing and finance. Offers lecture slides and problem sets with solutions, so learners can formulate and solve practical optimization models.
Introduction to Operations Research
The standard survey textbook for operations research, covering linear and integer programming, network flows, dynamic programming, queueing theory, and simulation. Readers finish able to formulate real decision problems as optimization models and interpret the solutions.