OR 508

The first step in simulation is. Set up possible courses of action for testing. Construct a numerical model. Validate the model. Define the problem.

Which of the following is disadvantage of simulation?. ability to analyze large and complex real-world situations. straightforward and flexible. It is the valuable and convenient method of breaking down a complicated system into subsystems and their study. It is not usually easily transferable to other problems.

The first step in the Monte Carlo simulation process is to. Generate random numbers. Set up cumulative probability distributions. Establish random number intervals. Set up probability distributions.

Cumulative probabilities are found by. Summing all the previous probabilities up to the current value of the variable. Summing all the probabilities associated with a variable. Simulating the initial probability distribution. Any method one chooses.

If we are going to simulate an inventory problem, we must. Run the simulation for many days. Run the simulation for many days many times, i.e., using multiple sets of random numbers. Run the simulation many times, i.e., using multiple sets of random numbers. Run the simulation once, for a relative short period of time.

All of the following are various ways of generating random numbers except……………. Table of random numbers. Fibonacci series. Computer-generated random numbers. Spin of roulette wheel.

The following is not an advantage of simulation: It allows for the study of what-if questions. Each simulation model is unique. It allows the study of interaction of components or variables to determine which are important. It allows time compression.

Simulation can be effectively used in many ……. Inventory problems. Queuing system. Traffic problem. All the above.

What kind of probabilities is found by summing all the previous probabilities up to the current random variable value?. Cumulative. Conditional. Marginal. Joint.

Which of the following statements are NOT true of simulation?. The equations describing the operating characteristics of the system are known. A simulation model cannot prescribe what should be done about a problem. Simulation models can be used to study alternative solutions to a problem. Simulation models the behavior of a system.

Select the valid reasons for using simulation. a. Relationship between the variables is nonlinear. b. Optimized solutions are obtained. c. Conduct experiments without disrupting the real system. d. Answers a and c.

Simulations can keep track of several different kinds of information, including: orders, inventory, and financial planning. True. False.

Random numbers are used. To describe the uncertainty of input values. To give random outcomes. To assign values to the parameters. To change the problem solution.

A major benefit of simulation is its capability to ask what-if questions. True. False.

Special computer packages have been developed to undertake real-life simulation. True. False.

When setting up cumulative probabilities from a given demand probability distribution in order to simulate demand the cumulative probability is: sum of the probabilities that are demand and all demands more than the demanded value. sum of the probabilities that are demand and all demands less than the demanded value. sum of all demands less than the demanded value. sum of all demands more than the demanded value.

Simulation is defined as. A technique that uses computers. An approach for reproducing the processes by which events by chance & changes are created in a computer. procedure for testing & experimenting on models to answer what if …., then so & so …. types of questions. All of the above.

The general purpose system simulation language. Requires program writing. Does not require program writing. Requires predefined coding forms. Needs a set of equations to describe a system.

Special simulation languages are useful because they. Reduce program preparation time & cost. Have the capability to generate random variables. Require no prior programming knowledge. All of the above.

Few causes of simulation analysis failure are. Inadequate level of user participation. Inappropriate levels of detail. Incomplete mix of essential skills. All of the above.

To make simulation more popular, we need to avoid. Large cost over runs. Prolonged delays. User dissatisfaction with simulation results. All of the above.

While assigning random numbers in Monte Carlo simulation, it is?. Not necessary to assign the exact range of random number interval as the probability. Necessary to develop a cumulative probability distribution. Necessary to assign the particular appropriate random numbers. All of the above.

Analytical results are taken into consideration before a simulation study so as to. Identify suitable values of the system parameters. Determine the optimal decision. Identify suitable values of decision variables for the specific choices of system parameters. All of the above.

Simulation should not be applied in all cases because it. Requires considerable talent for model building & extensive computer programming efforts. Consumes much computer time. Provides at best approximate solution to problem. All of the above.

The important step required for simulation approach in solving a problem is to. Test & validate the model. Design the experiment. Conduct the experiment. All of the above.

Which of the following are the advantages of using Modeling and Simulation?. Easy to understand. Easy to test. Easy to upgrade. All of the above.

Which of the following are the disadvantages of using Modelling and Simulation?. Simulation requires manpower and it is a time-consuming process. Simulation results are difficult to translate. It requires experts to understand. Simulation process is expensive. All of the above.

Which of the following is not an Application Areas of Modelling & Simulation?. Military applications. designing semiconductors. Food industry. Telecommunications.

Modeling is creating a model which represents a system including their properties. It is an act of building a model. True. False.

Simulation is the process of using a model to study the performance of a system. It is an act of using a model for simulation. True. False.

Types of simulation are. Analog. Computer. Both. Non the above.

Simulation cannot produce optimal result. True. False.

Which of the following is not a step of Simulation Study….. Verification and Validation. Setting of objectives and overall project plan. Model conceptualization. Cost Prediction.

A simulation model having one or more random variable as input leading to random outputs is called. Deterministic model. Stochastic model. Mathematical model. Physical mode.

Simulation is defined…. Imitation of operation of a real world process over time. Calculation of future state done by hand. Finding the defects in system by computer. process of varying one or more properties.