Mapa mental
Operations Research

Conteúdo do mapa
Operations Research
Basis
- Optimization
- Feasible solutions
- Mathematical modeling
- Iterative algorithmics
Designed to
- Optimize specific objective criterion
- Subject to a set of constraints
Organized in
- Max or min objective function
- Subject to
- Constraints
- Subject to
- Max or min objective function
Simple models
- Tickets purchasing problem
- Finite alternatives
- Garden problem
- Components
- Alternatives
- Restrictions
- Objetive criterion
- Components
- Tickets purchasing problem
Solutions
- Feasible
- Satisfies all constraints
- Nonnegative variables
- Infinite feasible solutions
- Nonnegative variables
- Satisfies all constraints
- Optimal
- Yields the best value
- Suboptimal
- Represents the real system
- Feasible
Techniques
- Linear programming
- Linear objetive
- Constrint functions
- Integer programming
- Integer values
- Dynamic programming
- Model can be descomposed
- Network programming
- Modeled as network
- Nonlinear programming
- Nonlinear objective
- Types
- Determined by
- Algorithms
- Heuristics or metaheuristics
- Rules of thumb
- Linear programming
Complex models
- Queuing
- Probability and Stochastic models
- Mathematical models
- Specific assumptions
- Simulation
- Mesaures by imitating
- Flexible
- Analyze any queuing situation
- Queuing
María Fernanda Alvarez Castro
- A00344391
- Referencias
- A, Hamdy. (2017). Operations Research: An Introduction, 10th Edition.
Imagens e arquivos do mapa
Informações
- Descrição
- Mapa Mental sobre Operations Research, criado por Marifer Alvarez em 17-08-2021.
- Criado por
- Marifer Alvarez
- Visualizações
- 0
- Avaliação























