A Model for Economic Production in Manufacturing Industries Under Unstable Power Supply.

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The research study presents the development of a model for Energy cost in manufacturing

industries under irregular power supply. The work considers power consumption in the operation

of production machines, hence cost incurred in running of these machines

Parameters such as machine types for production, numbers of machine types for production and

power ratings of machines for production were also considered in the development of the model

The study employs linear programming approach in formulating the model for economic

production in manufacturing industries under unstable power supply. The model will be

developed using C Sharp Programming language (Visual Studio) and validated using data from a

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reputable Production Company.




Table of Contents

Cover page i

Certification ii

Dedication iii

Acknowledgement iv

Table of contents vi

List of figures x

List of tables’ xi

Abstract xii

Chapter One

1.0 Introduction 1

1.1 Background of Study 2

1.2 Objectives of Study 7

1.3 Justification of Study 8

1.4 Scope 8

Chapter Two

Literature Review

2.1 Manufacturing 9

2.2 Production Cost 10

2.3 Electricity 11

2.3.1 Electric power stations 12

2.3.2 Electricity distribution 14

2.3.3 Energy demand and supply in Nigeria 15

2.4 Model 15

2.4.1 Classes of model 20

2.4.2 The language of models 20

2.4.3 Models in science 23

2.4.3.1 Models as building blocks of science 24

2.4.3.2 Models as building blocks and substitutes 24

2.4.3.3 Hypothesis and Theories as models 25

2.4.3.4 Big models and small models 26

2.4.4 Models outside Science 26

2.4.5 Stages of modeling 28

2.5 Linear programming 29

2.5.1 History 29

2.5.2 Overview 30

2.5.3 The Simplex method 33

2.5.4 Interior-point method 33

2.5.5 Assumptions in linear programming 34

2.5.6 Formulating linear program problems 35

2.5.7 Case studies on linear programming 35

Chapter Three

Methodology 37

3.1 Nomenclature 37

3.2 Software development 43

3.2.1 Algorithm 43

3.2.2 Flow Chart of the Model 46

Chapter Four

Results and discussions 47

4.1 Model Validation 47

4.2 Model interface 61

4.2.1 The Introductory Interface 61

4.2.2 Cost and energy calculator interface/Loading interface 61

4.2.3 Solver/Optimization interface 62

4.3 Observations 64

Chapter Five

Conclusions and Recommendations 65

5.1 Conclusions 65

5.2 Recommendations 66

References 67

Appendix 1 71

Appendix 2

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