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I Phase

1. Consists of steps 1 and 2

2. It is period of discovery/orientation

3. The analyst may have to restart the process if it is not fine-tuned

4. Recalibrations and clarifications may occur in this phase or another phase.

II   Phase

1. Consists of steps 3,4,5,6 and 7

2. A continuing interplay is required among the steps

3. Exclusion of model user results in implications during implementation

III   Phase

1. Consists of steps 8,9 and 10

2. Conceives a thorough plan for experimenting

3. Discrete-event stochastic is a statistical experiment

4. The output variables are estimates that contain random error and therefore proper statistical analysis is required.

IV  Phase

1. Consists of steps 11 and 12

2. Successful implementation depends on the involvement of user and every steps successful completion.

Steps in Simulation Study

SIMULATION EXAMPLES

• In the examination of queueing models, simulation is frequently used. Customers arrive from time to time and join a queue or waiting line, are eventually serviced, and then leave the system in a simple typical queueing model, as shown in fig 1.

• A "customer" is any entity that can be considered to be requesting "service" from a system.

Characteristics of Queueing Systems:

• Customers and servers are the most important components of a queueing system. People, machinery, trucks, mechanics, patients—anything that arrives at a facility and requires servicing is referred to as a "customer."

• The term "server" can refer to receptionists, repairmen, computer CPUs, or washing machines, as well as any resource (person, machine, etc.) that offers the required service.

Table 1 lists a number of different queuing systems.

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