Manager's Role in Simulation Process

Formulating problem objectives, directing personnel to provide information and data, interacting with the simulation modeler regularly, using the simulation results as an aid in decision-making

Due to the potentially large number of logical paths

Determining whether the 'assumptions document' has been correctly translated into a computer 'program'

<p>In developing a simulation model, write and debug the computer program in modules or subprograms</p> Signup and view all the answers

<p>It requires a commitment of the manager's time and resources</p> Signup and view all the answers

<p>To determine whether a simulation model is an accurate representation of the system for the particular objectives of the study.</p> Signup and view all the answers

<p>Manager’s understanding and agreement with the model’s assumptions, validation and verification of the model, manager’s ownership and involvement with the project, reputation of the model developers, compelling animation.</p> Signup and view all the answers

<p>To prevent the writer of a subprogram from getting into a mental rut and ensure a good critique.</p> Signup and view all the answers

<p>To check the reasonableness of the output and compute simple performance measures for comparison.</p> Signup and view all the answers

<p>Carefully define the specific issues to be investigated, use subject-matter experts and sensitivity analyses, start with a moderately detailed model.</p> Signup and view all the answers

<p>The three sources of a simulation model input data are data values used directly, data values used to define an empirical distribution function, and statistical inference used to fit a theoretical distribution to the data.</p> Signup and view all the answers

<p>Approach 1 is recommended for model validation when model output for an existing system is compared with the corresponding output for the system itself.</p> Signup and view all the answers

<p>The purpose of specifying input probability distributions is to generate random values from these distributions as the simulation proceeds through time.</p> Signup and view all the answers

<p>The two main reasons for needing input probability distributions in a simulation are to carry out a simulation using random inputs and to specify the probability distributions of input random variables.</p> Signup and view all the answers

<p>The approaches for specifying a distribution from collected data, in increasing order of desirability, are: 1. Using the data values directly in the simulation, 2. Using the data values to define an empirical distribution function, and 3. Using statistical inference to fit a theoretical distribution to the data.</p> Signup and view all the answers

<p>Reproducing only historical data and lack of sufficient data for desired simulation runs.</p> Signup and view all the answers

<p>It can generate any value between the minimum and maximum observed data points, especially for continuous data.</p> Signup and view all the answers

<p>a) Irregularities in empirical distribution with a small number of data values. b) Inability to generate values outside the range of observed data. c) Ease of change in theoretical distribution.</p> Signup and view all the answers

<p>To provide a graphical estimate of the plot of the density function corresponding to the distribution of the data.</p> Signup and view all the answers

<p>By breaking up the range of values covered by the data into disjoint adjacent intervals and calculating the proportion of the data within each interval.</p> Signup and view all the answers