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Engineering
Industrial Engineering
Operations Research and Optimization
1. Introduction to Operations Research
2. Mathematical Foundations for Optimization
3. Linear Programming
4. Network Optimization
5. Integer Programming
6. Nonlinear Programming
7. Dynamic Programming
8. Stochastic Processes and Queuing Theory
9. Simulation Modeling
10. Decision Analysis
11. Heuristics and Metaheuristics
12. Advanced Optimization Topics
Stochastic Processes and Queuing Theory
Introduction to Stochastic Processes
Random Processes
Stochastic Process Definition
Sample Paths
State Space
Parameter Space
Classification of Processes
Discrete-Time Processes
Continuous-Time Processes
Discrete-State Processes
Continuous-State Processes
Markov Chains
Discrete-Time Markov Chains
Markov Property
Transition Probabilities
Transition Matrix
Chapman-Kolmogorov Equations
Classification of States
Accessible States
Communicating States
Irreducible Chains
Periodic States
Transient States
Recurrent States
Steady-State Analysis
Limiting Probabilities
Stationary Distribution
Balance Equations
Ergodic Chains
Absorbing Markov Chains
Absorbing States
Transient Analysis
Absorption Probabilities
Expected Absorption Times
Continuous-Time Markov Chains
Poisson Process
Birth-Death Processes
Transition Rate Matrix
Kolmogorov Equations
Queuing Theory Fundamentals
Queuing System Components
Arrival Process
Service Mechanism
Queue Discipline
System Capacity
Customer Population
Arrival Processes
Poisson Arrivals
Interarrival Time Distributions
Batch Arrivals
Time-Dependent Arrivals
Service Mechanisms
Service Time Distributions
Single Server Systems
Multiple Server Systems
Service Disciplines
Kendall's Notation
Arrival Distribution
Service Distribution
Number of Servers
System Capacity
Population Size
Service Discipline
Performance Measures
System State Probabilities
Steady-State Probabilities
Transient Probabilities
Queue Length Measures
Expected Number in System
Expected Number in Queue
Queue Length Distribution
Waiting Time Measures
Expected Waiting Time in Queue
Expected Time in System
Waiting Time Distributions
Utilization Measures
Server Utilization
System Utilization
Traffic Intensity
Common Queuing Models
M/M/1 Queue
Model Assumptions
Steady-State Analysis
Performance Measures
Economic Analysis
M/M/s Queue
Multiple Server Analysis
Erlang-C Formula
Performance Calculations
M/M/1/K Queue
Finite Capacity Systems
Blocking Probability
Effective Arrival Rate
M/M/s/K Queue
Multiple Servers with Capacity
Performance Analysis
M/G/1 Queue
General Service Times
Pollaczek-Khintchine Formula
Residual Service Time
G/G/1 Queue
General Arrival and Service
Approximation Methods
Bounds and Estimates
Queuing Networks
Open Queuing Networks
Jackson Networks
Product-Form Solutions
Traffic Equations
Closed Queuing Networks
Fixed Population
Mean Value Analysis
Convolution Algorithm
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9. Simulation Modeling