ABSTRACT
The study uses
queuing theory to solve congestion problems at Next time supermarket. It
illustrated how supermarket can apply queuing model in solving congestion
problems by analyzing the one month daily customer data shared by the manager
of the supermarket. The found that the utilization rate at the restaurant is
very high (that 0.991). Besides the researcher also observed that the study can
help next time supermarket to increase their quality of service by anticipating
if there are many customers in the queue. It was concluded that the arrival
rate will be lesson and the service rate will be greater if it is on weekdays
since the average number of customers is less as compared to those on weekends.
It was recommended that Next-time supermarket should integrate queuing model in
its organizational policy.
A STUDY
OF NEXT-TIME SUPERMARKET ABACHA ROAD, G.R.A PORT HARCOURT
DEPARTMENT OF BUSINESS MANAGEMENT
FACULTY OF MANAGEMENT SCIENCES
IN PARTIAL
FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF M.SC (PH.D) IN MANAGEMENT
TABLE OF
CONTENTS
Abstract
- - - - - - - ii
Table
of Contents - - - - - - iii
List
of Table - - - - - - - v
List
of Figures - - - - - - vi
CHAPTER ONE: INTRODUCTION
1.1
Background of the Study - - - - 1
1.2 Statement of the Problem - - - 2
1.3 Objective of the Study - - - - 3
1.4 Scope/Delimitation
of the Study - - 3
1.5 Significance
of the Study - - - - 4
CHAPTER TWO: REVIEW OF
RELATED LITERATURE
2.0 Introduction - - - - - - 5
2.1
Empirical Review - - - - - 5
2.1.1 Case study for restaurants queuing model
by Mathias Dharmawinya - - - 5
2.1.2 Using queuing theory to analyze the
government
4-h completion time target in
accident
and emergency department by L.
Madyhew.
D. Smith - - - - - 6
2.2 Theoretical
Framework - - - - 7
2.2.1 Little’s Theorem - - - - - 7
2.3 Conceptual
Framework - - - - 8
CHAPTER THREE: DISCUSSION
3.0 Introduction - - - - - - 11
3.1 Techniques for accomplishing the stated Objectives -11
3.2 Discussion
on Theoretical Framework - 14
3.3 Gap
in the Reviewed Literature - - 15
3.4 Conclusion
- - - - - - 16
3.5 Recommendations - - - - - 17
References - - - - - - 18
LIST OF TABLES
Table
3.1 showing monthly daily customer counts -
11
LIST OF
FIGURES
Fig
1.1 Showing queuing costs vs level of services
- 2
Fig. 2.1 Showing Major components of a queuing
system -8
Fig.
3.1 Showing monthly daily customer count - 12
Click on the related links below and read more.
We can keep you updated on this information, please Subscribe for Free by entering your email address in the space provided.
Do you like this article? Share this article