Description
ABSTRACT
The modern managers need problem identification and adequate information in these complex conditions of business in order to stay in the market and also to make viable decisions. These information are mostly gathered from effective and efficient research project and it is in these that the decisions are based.
In other words, this project research is aimed at giving such vital information that will aid the management of Macons bread to know their distribution effectiveness and factors influencing their distribution effectiveness.
The researcher made use of primary and secondary data. Primary data used include interviews and observation, the researcher specifically interviewed the managing director, production manger, and the sales man. While secondary data is on library sources as tools for gathering the data.
It is found out from the study, that the macons bread or the company are making use of delivery van to distribute their product to some places. The distributions are not supervised and communication facilities are poor, due to the poor transportation.
Major recommendation include government repair of roads to improve transport system of establishment supervision and distribution by the company sales man.
The company should arrange for training, for itself and public relation manager would improve the promotion on their product.
TABLE OF CONTENTS
Title Page
Approval page
Dedication
Acknowledgement
Abstract
Table of content
CHAPTER ONE
Introduction
1.1 Background of the Study
1.2 Statement of Problem
1.3 Objectives of the Study
1.4 Significance of the Study
1.5 Scope or Limitation of the Study
1.6 Definition of Terms
CHAPTER TWO
2.0 Review of related literature
2.1 An Overview of Distribution in Nigeria
2.2 Determining Channel Selection of Bread
2.3 Physical Distribution
2.4 Available Bread Distribution Channel
2.5 Problems of Distribution
2.6 Distribution Cost
CHAPTER THREE
3.0 Methodology
3.1 Sources of Data
3.2 Method of Investigation
CHAPTER FOUR
4.0 Analysis Presentation and Interpretation of Data
CHAPTER FIVE
5.1 Recommendation
5.2 Conclusion
Bibliography