System Modeling and Simulation

5.

The Simulation Study Methodology

5.1.

Problem Formulation

5.1.1.

Problem Definition and Statement

5.1.2.

System Description and Scope

5.1.3.

Study Objectives and Goals

5.1.4.

Performance Measures Identification

5.1.5.

Success Criteria Definition

5.1.6.

Stakeholder Requirements

5.2.

System Investigation and Data Collection

5.2.1.

System Analysis and Understanding

5.2.2.

Data Requirements Identification

5.2.3.

Data Collection Methods

5.2.4.

Data Quality Assessment

5.2.5.

Data Preprocessing and Cleaning

5.2.6.

Missing Data Handling

5.3.

Model Conceptualization

5.3.1.

Conceptual Model Development

5.3.2.

Model Assumptions and Simplifications

5.3.3.

Model Scope and Boundaries

5.3.4.

Level of Detail Determination

5.3.5.

Model Structure Design

5.4.

Model Implementation

5.4.1.

Simulation Paradigm Selection

5.4.2.

Software Tool Selection

5.4.3.

Model Programming and Coding

5.4.4.

Input and Output Interface Design

5.4.5.

Error Handling Implementation

5.5.

Verification and Validation

5.5.1.

Model Verification Process

5.5.2.

Model Validation Process

5.5.3.

Credibility Assessment

5.5.4.

Accreditation Procedures

5.6.

Experimental Design

5.6.1.

Experiment Planning

5.6.2.

Factor Identification

5.6.3.

Response Variable Selection

5.6.4.

Experimental Conditions Setup

5.7.

Production Runs and Analysis

5.7.1.

Simulation Execution

5.7.2.

Output Data Collection

5.7.3.

Statistical Analysis

5.7.4.

Results Interpretation

5.8.

Documentation and Implementation

5.8.1.

Model Documentation

5.8.2.

Results Presentation

5.8.3.

Recommendations Development

5.8.4.

Implementation Planning

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6. Discrete-Event Simulation