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Packing problems
Assign items to containers, minimizing the number of containers or maximizing value
Optimal selection
Make an optimal choice given preferences and available resources
Logistics
Determine the optimal quantity and timing of orders, including shipping and storage
Networks
Find the shortest, fastest, or cheapest path through a network
Stock mix
Decide the best stock mix, given customer demand, to maximize profit
Puzzles
Solve puzzles like Sudoku, magic squares, and algebra word puzzles
Cutting stock
Find the best way to cut stock material, given your requirements
Product mix
Find the best mix of products or ingredients
Capital investment
Choose the best capital investment options, given your budget and requirements
Team selection
Allocate team members in the best combination, given their skills and preferences
Scheduling
Schedule your resources to minimize time or maximize benefit
Production planning
Select machines or production processes to maximize efficiency or minimize cost
Portfolio optimization
Allocate resources across a portfolio of choices, to maximize return and minimize risk
Sports
Improve your fantasy sports team's performance by building an optimal line-up
Create groups
Assign people to groups to equalize distribution, maximize satisfaction, or minimize conflicts
Facility location
Locate facilities to minimize costs while meeting customer needs
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Allocate people to balanced teams
CMPL 2.0 optimization tool
Coursera: Operations Research (series)
Coursera: Optimization for decision making
Excel Solver
Facility location optimization in Excel
Fantasy sports: Pick the best team
Frontline Systems
Future of COIN-OR
Green manufacturing via cutting patterns
Job sequencing to minimize completion time
On the shoulders of giants
One-dimensional packing: Wire cutting
OpenSolver
Optimization in Excel vs Python
Production mix via graphical LP
Project crashing: Time-cost trade-off
Symmetry-less 1D bin packing
Taking a dip in the MIP solution pool
Vaccination plan for Hong Kong
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Latest blog articles
Production mix - Conclusions
Production mix - Model 11, SciPy
Production mix - Model 10, CVXPY
Production mix - Model 9, Gekko
Production mix - Model 8, OR-Tools
Production mix - Model 7, PuLP
Production mix - Model 6, Pyomo abstract
Production mix - Model 5, Pyomo using def
Production mix - Model 4, Pyomo json file
Production mix - Model 3, Pyomo external data
Production mix - Model 2, Pyomo separate data
Production mix - Model 1, Pyomo concrete
Latest resources
Post Office problem in OR-tools CP-SAT solver
Nature inspired methods for optimization
Mathematical Programming with Julia
Julia programming for Operations Research
Convex optimization
EdX: Convex optimization
EdX: Mathematical optimization for engineers
Coursera: Optimization for decision making
Coursera: Discrete optimization
Coursera: Discrete optimization (series)
Coursera: Operations Research (series)
MIT OpenCourseWare
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