- What is simulation? List a few advantages and disadvantages of simulation.
- Differentiate between the following:
- Continuous and Discrete Systems
- Static and Dynamic Systems
- Open and Closed Systems
- Deterministic and Stochastic activities
- Static Physical Models and Dynamic Physical Models
- Static Mathematical Models and Dynamic Mathematical Models
- Continuous and Discrete Systems
- Write short notes on
- Monte –Carlo methods
- M/M/1 model
- Continuous probabilistic distributions
- Binomial Distribution
- Bernoulli Distribution
- Exponential Distribution
- Poisson Distribution
- Erlang Distribution
- Log normal distribution
- Geometric distribution
- Hyper geometric distribution
- Normal distribution
- Monte –Carlo methods
- What is Discrete system simulation?
- Write short notes on GPSS. Explain at least 5 GPSS block-diagram symbols.
- What do you mean by Action Times and Succession of Events.
- Design a supermarket simulation model using GPSS symbols.
- Design a Telephone System simulation model using GPSS symbols.
- Write the different techniques of simulation output analysis.
- What are the different methods to generate random number?
- What are the different tests to test for random numbers?
- Discuss the applications of Weibull distrbution real life in detail?
- What do you mean by replication of runs? What is batch means ?
- What is project management?
- What is queuing model? How it is useful for Simulation? Explain all different
kind of Queuing Model in detail
Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data
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