Relevance Of Value Engineering Techniques In A New Product Development

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A Case Stud Of Unilever Nigeria Plc Aba

Description

INTRODUCTION
The need to produce quality goods and services at a minimum cost possible so as to maximize profit has been a major goal of manufacturers and producers of goods, at this instance, it means that there should be a systematic and scientific approach. In doing this, this is the need for value engineering techniques. Value engineering techniques is a systematic effort aimed in improving the value of a product, project or system and optimize availability performance and other critical factors to meet the customers expectations.
According to Andrew (2001), value engineering has two primary elements (i) To deliver function at a minimum cost (ii) To use group brainstorming and consensus to broaden the solution space and avoid narrow thinking value which can improve by reduction in the life cycle cost (LCC) and by an increase in customers worth or customer acceptance, the action of value Engineering require studies in the calculation of a product (LCC) where focused on the product total cost.

TABLE OF CONTENTS
i TITLE PAGE
ii APPROVAL PAGE
iii DEDICATION
iv ACKNOWLEDGEMENT
v ABSTRACT
vi TABLE OF CONTENT

CHAPTER ONE
1.0 Introduction
1.1 Background of study
1.2 Statement of problem
1.3 Objectives of the study
1.4 Significance of the study
1.5 Research questions
1.6 Research hypothesis
1.7 Scope of the study
1.8 Limitation of the study
1.9 Definition of terms

CHAPTER TWO
2.0 Literature review
2.1 Historical of related literature
2.2 Method of implementing value engineering organization
2.3 Importance of value engineering
2.4 Cost estimating
2.5 Value engineering procedure
2.6 Importance of existing produces innovation
2.7 product design and implementation
2.8 What are the value techniques?

CHAPTER THREE
3.0 Research methodology
3.1 Research design
3.2 Questionnaire design
3.3 Population and sample selection
3.4 Source of data
3.4.1 The primary data
3.4.2 The secondary data
3.5 Data collection techniques
3.5.1 Survey method
3.5.2 Observation method
3.6 Method of data analysis

CHAPTER FOUR
4.0 Presentation, analysis and interpretation of data
4.1 Presentation of data
4.2 Analysis of data
4.3 Test of hypothesis
4.4 Discussion rule

CHAPTER FIVE
5.0 Summary, conclusion and recommendation
5.1 Summary
5.2 Recommendation
5.3 Conclusion
Bibliography
Appendix
Questionnaire

Additional information

Dimensions 5 × 78 × 10126 in