TABLE OF CONTENTS
DECLARATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
TABLE OF CONTENTS
ABSTRACT
CHAPTER ONE 1
INTRODUCTION 1
1.1 Background ofthe study 1
1.2 Case study description 2
1.3 Problem Statement 2
1.4 Project Objectives 3
1.4.1 General Objective 3
1.4.2 Specific Objectives 3
1.5 Justification ofthe study 3
1.6 Project scope 3
CHAPTER TWO 4
LITERATURE REViEW 4
2.1 Introduction 4
2.2 Simulation Models 4
2.3 Applications of Simulation Models 4
2.4 Characteristics of simulation models 5
2.5 Model types and their comparisons 6
2.6 Classification of Simulation Models 6
2.7 Discrete Event Simulation Model 7
2.8 Productivity 8
2.9 Productivity monitoring 8
2.10 Conclusion 9
CHAPTER THREE 10
METHODOLOGY 10
V
3.1 Overview. 10
3.2 System study 10
3.2.1 Reading 10
3.2.2 Interviews
3.2.3 Questionnaires 10
3.2.4 Observation
3.3 Analysis 11
Figure 1. Process map 12
3.4 Development ofthe Model 13
3.4.1 Determining model requirements 13
3.5 Testing and validation 13
ChAPTER FOUR 14
SYSTEM DESIGN AND IMPLEMENTATION 14
4.1 Model Design 14
Table 2. Production resources, their types and unit ofmeasure 14
The simulation process 14
4.2 Implementation 20
CHAPTER FIVE 21
FINDINGS, CONCLUSIONS AN]) RECOMMENDATIONS 21
5.1 Discussion 21
5.2 Conclusion 21
5.3 Recommendations 21
REFERENCES 22
APPENDICES 23
APPENDIX A 23
Questionnaire 23
APPENDIX B 25
Sample System Codes 25
ABSTRACT
This project is about a productivity simulation system for a factory. It is a real timesystem, which has been designed to monitor productivity by capturing information on all the resources that are used in producing a unit quantity of a product. The resources in this project are people, water, furnace oil and electricity. The value of these resources for aspecific period oftime is divided by the quantity of product processed or produced in the same period to evaluate the unit cost of production in that period and hence the productivity of the factory can be monitored on an hourly basis. The simulation model isthus made to be an integral process in a processing factory rather than a system that checks performance after a process is complete.The system therefore works well when there is a system in place that captures all the resources that go into the manufacturing process accurately and on a regular basis.
