22 Questions
What is the Markov property in Markov Analysis?
The future state depends only on the current state and not on the sequence of events that preceded it.
What is the purpose of Markov Analysis in operations research?
To model and analyze systems that transition from one state to another on a probabilistic basis.
What is a characteristic of stochastic processes in Markov Analysis?
The future state is uncertain and depends on probability.
What is a state in Markov Analysis?
A distinct condition or status that a system can occupy.
What is the significance of transition probabilities in Markov Analysis?
They represent the probabilities of moving from one state to another.
What is a limitation of Markov Analysis?
It assumes that the future state depends on the sequence of events that preceded it.
What is the purpose of steady-state probabilities in Markov Analysis?
To determine the long-term behavior of a system.
What is transient analysis in Markov Analysis?
The study of the short-term behavior of a system.
What is the primary purpose of constructing a transition matrix in Markov analysis?
To calculate the probabilities of transitioning from one state to another
What is a characteristic of an equilibrium condition in Markov analysis?
State probabilities do not change after a large number of periods
What is the focus of transient analysis in Markov analysis?
The system's behavior over a short period of time
What is the Markov property in the context of Markov analysis?
The system's behavior is independent of the previous state
What is the purpose of determining the steady-state probabilities in Markov analysis?
To determine the long-term behavior of the system
What is a step in Markov analysis that involves calculating the probabilities of transitioning from one state to another?
Determining the transition probabilities
Why may customers renege from a queue?
Because they have been waiting too long.
What is a saddle point in game theory?
A specific combination of strategies where neither player has an incentive to deviate.
What represents the average or expected outcome if a game is played repeatedly?
The value of the game.
What type of game is one where there is no saddle point, and players randomize their choices?
A mixed strategy game.
What is an algebraic approach used for in 2x2 games?
To solve for the optimal probability distribution that maximizes expected winnings.
What is a finite source in queuing theory?
A source that limits the customers arriving for service.
What is the characteristic of a service facility with multiple servers?
It is multi-channel.
What is the characteristic of a service facility where a customer receives service from more than one server?
It is multiphase.
Study Notes
Queuing Models
- Kendall's notation specifies the pattern of arrival, service time distribution, and number of channels in queuing models.
Game Theory
- The principle of dominance is used to eliminate strategies that would never be played by eliminating dominated strategies.
- A dominated strategy is one where a player can always do as well or better playing another strategy.
Arrival Distribution
- Arrivals can occur according to a known pattern or randomly.
- Random arrivals generally follow a Poisson distribution.
Service Time Distribution
- Service patterns can be constant or random.
- Constant service times are often machine-controlled.
- Random service times are often distributed according to a negative exponential probability distribution.
Markov Analysis
- Markov Analysis is a statistical technique used to model and analyze systems that transition from one state to another on a probabilistic basis.
- Key concepts of Markov Analysis include states, transition probabilities, transition matrix, and steady-state probabilities.
- Steps in Markov Analysis include identifying states, determining transition probabilities, constructing the transition matrix, and analyzing the transition matrix.
Markov Analysis Steps
- Identify the different states the system can be in.
- Calculate the probabilities of transitioning from one state to another.
- Create a matrix where each element represents the transition probability from one state to another.
- Study the system's behavior over time (transient analysis) and determine the long-term behavior of the system (steady-state analysis).
Equilibrium Conditions
- An equilibrium condition exists if state probabilities do not change after a large number of periods.
- At equilibrium, state probabilities for the next period equal the state probabilities for the current period.
- Equilibrium state probabilities can be computed by repeating Markov analysis for a large number of periods.
Game Theory Concepts
- Saddle point: a specific combination of strategies where neither player has an incentive to deviate.
- Value of the game: the average or expected outcome if the game is played repeatedly.
- Mixed strategy games: games where there is no saddle point, and players randomize their choices by playing each strategy with a certain probability.
Service Facility Design
- Service facility design may include parallel servers (e.g. post office or bank operation).
- Servers may also be arranged in series (e.g. jobs processed on successive machines) or networked (e.g. routers in a computer network).
- Types of service facilities include single-channel (one server), multi-channel (multiple servers), single-phase (customer receives service from just one server), and multi-phase (a customer has to go through more than one server).
Finite and Infinite Sources
- A finite source limits the customers arriving for service (e.g. machines requesting the service of a repairperson).
- An infinite source is forever abundant (e.g. calls arriving at a telephone exchange).
This quiz covers concepts in operations research and queuing theory, including Kendall's notation and the principle of dominance in game theory.
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