SIMULATION AND MODELLING CHAPTER WISE QUESTONS COLLECTION

GYAN WALLA
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Unit 1: Introduction to Simulation

  1. Difference between static physical and dynamic physical models.

  2. Describe different phases of simulation study with help of flowchart.

  3. What are the application areas of simulation?

  4. What is a system modeling? What are the steps involved in system modeling.

  5. Why model of a system is built? What is static model? Differentiate between static and dynamic mathematical models in simulation.

  6. Differentiate between discrete and continuous system.

  7. Discuss the merits and demerits of system simulation.

  8. What do you understand by static mathematical model? Explain with example. Differentiate between stochastic and deterministic activities.

  9. Describe the phases in simulation.

  10. Write short notes on:
    a. System and its environment


Unit 2: Simulation of Continuous and Discrete System

  1. What is analog computer? Explain with suitable example.

  2. Differentiate between analog and digital computer.

  3. Why accuracy of analog computer is low? Explain analog computer with suitable example.

  4. Explain Monte Carlo simulation.

  5. Explain Monte Carlo simulation method with example.

  6. Explain the concept of discrete event simulation. Explain poisson’s arrival pattern.

  7. Write short notes on:
    a. Feedback system
    b. Non-Stationary Poission process
    c. Digital analog simulator


Unit 3: Queuing System

  1. What is queuing system? Explain the elements of queuing system with example.

  2. Define traffic intensity and server utilization. Write down the Kendall’s notation for queuing system with example.

  3. Define queuing system. Explain different queuing disciplines. Also explain different performance measures for evaluation of queuing system.

  4. Define queuing system. Explain the Kendall’s notation for queuing system? What are the various performance measures in single server queuing system?

  5. Explain basic characteristics of queueing system.

  6. What is calling population? Explain arrival and service process in a queue.

  7. Applications of queuing system (implicit in numerical and theory questions).


Unit 4: Markov Chains

  1. Explain Markov chain with suitable example. What are different application areas of Markov chain?

  2. Explain Markov chain with suitable example.

  3. What is Markov chain? Explain with example.

  4. Explain Markov’s chain with a suitable example.


Unit 5: Random Numbers

  1. Explain the independence and uniformity property of random number. Perform test for independence using K-S test.

  2. What are the properties of random number? Use the Kolmogorov Smirnov test for uniformity.

  3. What are the two main properties of random numbers? Test auto-correlation.

  4. Generate 10 random integers using Linear congruential method.

  5. Use Mixed congruential method to generate a sequence of random numbers.

  6. Generate ten 3 digit random integers using Multiplicative Congruential method.

  7. Explain generation of non uniform random number using inverse method.

  8. Difference between chi-square test and KS test for uniformity.

  9. Define true random numbers and pseudo random numbers with its properties.

  10. Write short notes on:
    a. Random variate
    b. Poker test
    c. Stationary poisson process


Unit 6: Verification and Validation

  1. Explain iterative process of calibrating a simulation model.

  2. Describe the process of model building, verification and validation in detail with example.

  3. What is three step approach for validation of simulation models?

  4. Define verification and validation. Explain the process of model verification in brief.

  5. Differentiate between validation and calibration. How can we perform validation of a model?

  6. Define the terms verification, calibration, validation and accreditation of models.

  7. “Building a model right” and “Building a right model”. Discuss the importance of V & V.


Unit 7: Analysis of Simulation Output

  1. Why is it necessary to analyze the simulation output? Explain different estimation methods used in simulation output analysis.

  2. Why confidence interval is needed in the analysis of simulation output? How can we establish a confidence interval?

  3. Explain different estimation methods used in simulation output analysis.

  4. What do you mean by replication of runs? Why it is necessary?

  5. Explain the importance of elimination of initial bias during simulation.

  6. Write short notes on:
    a. Hypothesis testing
    b. Simulation run statistics


Unit 8: Simulation of Computer Systems

  1. Develop GPSS block diagram and code for a manufacturing shop problem and explain blocks used.

  2. Why is GPSS called transaction flow oriented language?

  3. What is storage in GPSS? Describe the blocks associated to storage in GPSS.

  4. What is transaction in GPSS? Explain about facility in GPSS.

  5. Draw GPSS block diagram for barbershop system and run simulation.

  6. Represent the system in GPSS using facility and run simulation for given parts.

  7. Draw GPSS block diagram to simulate the inspection system for 100 parts.

  8. Draw GPSS block diagram to simulate supply store problem for 100 requisitions.

  9. Write short notes on:
    a. Simulation tools


Miscellaneous / Cross-Chapter Questions

  1. Difference between static physical and dynamic physical models.

  2. Explain traffic intensity and server utilization.

  3. Explain arrival pattern and service process.


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