The document outlines the key steps in a simulation study: 1. Problem formulation to clearly define the problem and ensure the client understands it. 2. Setting objectives and an overall project plan to determine what questions will be answered and identify scenarios, requirements, and timelines. 3. Model conceptualization to develop the conceptual framework for the simulation model. 4. The document then continues to describe several additional steps in the simulation study process including data collection, model translation, verification, validation, experimental design, production runs and analysis, documentation, and potential implementation.

1. Steps in a simulation study
By
Md. Fazle Rabbi
16CSE057

2. 4.2
A simulation is the imitation of the operation of real-
world process or system over time.
 Generation of artificial history and observation of that
observation history
A model construct a conceptual framework that
describes a system
The behavior of a system that evolves over time is
studied by developing a simulation model.
The model takes a set of expressed assumptions:
Mathematical, logical
Symbolic relationship between the entities
Definition

3. 4.3
Steps in Simulation Study

4. 4.4
1. Problem Formulation
2. Setting of Objectives and Overall Project Plan
3. Model Conceptualization
4. Data Collection
5. Model Translation
6. Verification
7. Validation
8. Experimental Design
9. Production Run and Analysis .
10.More runs
11.Documentation and Report.
12.Implementation
Steps in Simulation Study

5. 4.5
Steps in Simulation Study

6. 4.6
the problem is clearly understood
by the simulation analyst
the formulation is clearly
understood by the client
Problem Formulation

7. 4.7
Setting of Objectives and Overall Project Plan
determine the questions that are to be
answered
identify scenarios to be investigated
decision criteria
determine the end-user
determine data requirements
determine hardware, software, &
personnel requirements
prepare a time plan
cost plan and billing procedure

8. 4.8
Data Collection
collect data for input analysis and
validation arrival rate, arrival
process, service discipline, service
rate , etc.
 analysis of the data determine the
random variables of it distribution
functions

9. 4.9
Model Translation

10. 4.10
the process of determining
if the operational logic is
correct debugging the
simulation software
Verification

11. 4.11
Validation
 the process of determining if
the model accurately represents
the system comparison of model
results with collected data from
the real system

12. 4.12
Experimental Design
alternative scenarios to be simulated
type of output data analysis (steady-state vs.
terminating simulation analysis)
 number of simulation runs
 length of each run
 variance reduction

13. 4.13
Production Run & Analysis
statistical tests for significance
and ranking Point Estimation
Confidence-Interval Estimation
interpretation of results

14. 4.14
Documentation & Report
program documentation allows future
modifications creates confidence
progress reports frequent reports (e.g.
monthly) are suggested alternative
scenarios performance measures or
criteria used results of experiments
recommendations

15. 4.15
Implementation
Implement the study in real system

16. 4.16
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