Podcast
Questions and Answers
In the departure routine of a simulation, what occurs if the queue is found to be empty?
In the departure routine of a simulation, what occurs if the queue is found to be empty?
- The simulation terminates, indicating no further activity.
- The server becomes idle, awaiting a new customer. (correct)
- A new customer is immediately added to the queue to prevent idleness.
- The server remains busy, anticipating the arrival of a new customer.
Within a queuing model, what is the initial action taken during an arrival event?
Within a queuing model, what is the initial action taken during an arrival event?
- The next arrival event is scheduled to maintain the flow of the simulation. (correct)
- The server is immediately marked as busy to handle the arriving customer.
- The customer delay is reset to zero, starting the waiting time calculation.
- The number of customers in the queue is updated to reflect the new arrival.
Which statement is utilized to pause a process until a specific event transpires?
Which statement is utilized to pause a process until a specific event transpires?
- `process(ev);`
- `wait(ev);` (correct)
- `hold(ev);`
- `suspend(ev);`
What function designates the conclusion of a customer's process within the CSIM framework?
What function designates the conclusion of a customer's process within the CSIM framework?
How does a simulation process secure exclusive access to a facility?
How does a simulation process secure exclusive access to a facility?
What is the function of the statement facility_ms(“name”, ns);?
What is the function of the statement facility_ms(“name”, ns);?
On which programming language is CSIM primarily based?
On which programming language is CSIM primarily based?
What term describes a property or characteristic associated with an entity in simulation modeling?
What term describes a property or characteristic associated with an entity in simulation modeling?
In the context provided, how does the workload of 'Baker' compare to that of 'Able'?
In the context provided, how does the workload of 'Baker' compare to that of 'Able'?
For a M/M/1 queuing system with a utilization factor of 0.50, what is the average queue length?
For a M/M/1 queuing system with a utilization factor of 0.50, what is the average queue length?
How does a simulation program written in CSIM get executed?
How does a simulation program written in CSIM get executed?
What does model verification primarily ensure during simulation development?
What does model verification primarily ensure during simulation development?
In the SIMSCRIPT language, what specific action does the command 'REQUEST' perform?
In the SIMSCRIPT language, what specific action does the command 'REQUEST' perform?
What are the two principal methods for managing the simulated clock in discrete-event simulation?
What are the two principal methods for managing the simulated clock in discrete-event simulation?
What element is most crucial for effectively implementing a simulation project?
What element is most crucial for effectively implementing a simulation project?
What is the initial and most important step in constructing a simulation and developing a model?
What is the initial and most important step in constructing a simulation and developing a model?
In simulation, what is the key purpose of utilizing statistical output?
In simulation, what is the key purpose of utilizing statistical output?
Which of the following is an example of a continuous-state system?
Which of the following is an example of a continuous-state system?
Which description accurately defines what constitutes a 'system'?
Which description accurately defines what constitutes a 'system'?
What is a primary limitation associated with using special-purpose simulation packages?
What is a primary limitation associated with using special-purpose simulation packages?
Which of the following is NOT generally considered a general-purpose simulation language?
Which of the following is NOT generally considered a general-purpose simulation language?
Which scenario is an example of a probabilistic model?
Which scenario is an example of a probabilistic model?
What characterizes a continuous simulation model?
What characterizes a continuous simulation model?
Which of the following scenarios best illustrates a deterministic model?
Which of the following scenarios best illustrates a deterministic model?
What is the intended function of the release(f); command?
What is the intended function of the release(f); command?
Flashcards
What is report()?
What is report()?
A function that prints a complete CSIM report.
What is simulation?
What is simulation?
A representation of a system that can be manipulated for analysis.
A simulation event is...
A simulation event is...
A change in system state
Departure routine result
Departure routine result
Signup and view all the flashcards
Queuing model arrival
Queuing model arrival
Signup and view all the flashcards
wait(ev);
wait(ev);
Signup and view all the flashcards
terminate();
terminate();
Signup and view all the flashcards
lock(f);
lock(f);
Signup and view all the flashcards
facility_ms purpose?
facility_ms purpose?
Signup and view all the flashcards
CSIM is based on:
CSIM is based on:
Signup and view all the flashcards
What is an attribute?
What is an attribute?
Signup and view all the flashcards
CSIM programs execute by:
CSIM programs execute by:
Signup and view all the flashcards
Model Verification
Model Verification
Signup and view all the flashcards
SIMSCRIPT ‘REQUEST’
SIMSCRIPT ‘REQUEST’
Signup and view all the flashcards
Simulation clock types?
Simulation clock types?
Signup and view all the flashcards
Simulation success factor
Simulation success factor
Signup and view all the flashcards
Simulation first step:
Simulation first step:
Signup and view all the flashcards
Statistical output purpose?
Statistical output purpose?
Signup and view all the flashcards
Continuous-state example?
Continuous-state example?
Signup and view all the flashcards
What is a system?
What is a system?
Signup and view all the flashcards
GPSS models language
GPSS models language
Signup and view all the flashcards
Not a type of model?
Not a type of model?
Signup and view all the flashcards
SIMSCRIPT waiting time
SIMSCRIPT waiting time
Signup and view all the flashcards
CSIM execution unit
CSIM execution unit
Signup and view all the flashcards
Statistics collected how?
Statistics collected how?
Signup and view all the flashcards
Study Notes
- The cumulative probability for a service time of 3 minutes is 0.60.
- The report() function is used to print a complete CSIM report.
- Simulation is a representation of a system that can be manipulated for analysis.
- Events can be global or local, synchronize processes, and are initialized to the not-occurred state.
- A simulation event represents a change in system state.
- In the departure routine, when the queue is empty, the server becomes idle.
- In a queuing model, the next arrival event is scheduled first in the arrival event.
- The wait(ev); statement is used to wait for an event to occur.
- The terminate(); event marks the end of a customer process in CSIM.
- A process requests exclusive access to a facility using lock(f);.
- The facility_ms(“name”, ns); statement creates a multi-server facility.
- CSIM is primarily based on the C programming language.
- A property of an entity is called an attribute.
- Baker is less busy compared to Able.
- The probability of time-between-arrival of 4 minutes is 0.125.
- The queue length is 1.00 when utilization is 0.50 in an M/M/1 queue.
- CSIM programs are executed by compiling the code.
- Model verification ensures the model is programmed correctly.
- In SIMSCRIPT, “REQUEST" requests server access.
- The two types of simulated clock management are continuous-time and discrete-time increment.
- End-user involvement is critical for successful simulation implementation.
- The first step in simulation and model building is defining an achievable goal.
- The purpose of statistical output in simulation is to analyze simulation results.
- Time spent in a class is an example of a continuous-state system.
- A system is a group of objects interacting toward a purpose.
- A major disadvantage of special-purpose simulation packages is the high software cost.
- FORTRAN is not a general-purpose simulation language.
- A casino game simulation is an example of a probabilistic model.
- A continuous simulation model changes continuously over time.
- E = mc2 is an example of a deterministic model.
- The purpose of release(f);, is to release a facility.
- The simulation language used for GPSS models is GPSS/H.
- Imaginary is not a type of model.
- Waiting time in SIMSCRIPT is calculated as systems clock minus arrival time.
- The primary unit of execution in CSIM is a process.
- Statistics are collected in CSIM using the report() function, through table structures and using the process classes.
- Randomly picking data is not a step in simulation and model building.
- The utilization in the CSIM results is 0.50.
- MODSIM III is an object-oriented simulation language.
- The main advantage of simulation over real-world testing is easier manipulation of the model.
- Threads are not a CSIM object.
- The function of clock in CSIM tracks the current simulation time.
- A state variable is a variable defining system state.
- CSIM primarily models discrete event simulation.
- Table structures are a CSIM object that collects data during execution.
- A hybrid simulation model combines discrete and continuous elements.
- storage(“name”, sz); defines a memory block.
- A model is a representation of an object, system, or idea.
- The main purpose of a queueing model is to analyze system performance under varying loads.
- The total number of customers in the simulation findings is 20.
- An error message is triggered in the arrival routine if the queue is full.
- The status(ev) function checks the status of an event.
- A process terminates in CSIM using terminate();.
- timed_queue(ev, tm); is used to wait for an event or timeout.
- Model validation ensures simulation results are useful.
- The number of students attending class is an example of a discrete-time model.
- Modelling at the wrong level of detail is a common mistake in simulation modelling.
- In GPSS, entering transactions activates blocks.
- In the M/M/1 queue model, "M/M/1" stands for a single-server with exponential inter-arrival and service times.
- Random-oriented is not a type of discrete simulation methodology.
- The fundamental matrix gives the expected number of steps to reach an absorbing state in an absorbing Markov chain.
- A Markov chain is irreducible if every state can be reached from any other state.
- Markov models in real-world scenarios are mainly used for predicting future states based on past observations.
- The set of time instances is represented by the index set T in a stochastic process.
- A stochastic process is a collection of random variables indexed by time.
- The Chapman-Kolmogorov equation describes the probability of transitioning between states over multiple steps.
- The key property of a Markov process is the independence of the past given the present.
- The fundamental matrix is used to compute transition probabilities in finite steps.
- Policy evaluation in Markov decision processes helps compute the probability of reaching a state.
- If a Markov chain has a unique stationary distribution, the state probabilities do not change over time.
- The initial state distribution and transition matrix determine the probability of a Markov chain being in a particular state after n steps.
- The state space of a Markov chain is the range of all possible values of Xt.
- Rewards associated with state transitions are introduced in a Markov process.
- Pij in a Markov chain represents the probability of transitioning from state i to state j.
- Exponential distribution describes the waiting time before a state transition in a continuous-time Markov chain.
- The long-run proportion of time spent in a state is given by the limiting probability.
- In a Markov chain, if all states are transient, the process eventually leaves all states and never returns.
- For a state to be positively recurrent, the expected return time is finite.
- An absorbing state is a state that can never be left.
- A transient state has a probability of never being revisited.
- The steady-state probability of a Markov chain is the probability distribution that remains unchanged over time.
- The probability of transitioning from state i to j in an absorbing Markov chain depends on the transition probabilities.
- The mean recurrence time of a state is the expected time between consecutive visits to the state.
- The Perron-Frobenius theorem states that irreducible, aperiodic Markov chains have a unique positive steady-state probability distribution.
- A recurrent state is a state that is visited infinitely often.
- In a Markov chain, the transition probabilities depend only on the current state.
- A limiting state probability is the probability of being in a state after infinite time.
- If a Markov chain is irreducible and aperiodic, it has a unique stationary distribution.
- A transition probability matrix is a matrix containing probabilities of state transitions.
- If a Markov chain has a steady-state probability distribution, the state probabilities remain constant over time.
- In a continuous-time Markov chain, transitions occur at random times governed by an exponential distribution.
- The law of large numbers implies for a Markov chain that the relative frequency of visiting states converges to the steady-state probabilities.
- A communication class in a Markov chain is a set of states that can reach each other.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
