7.reduce Queue In Bank Anand (1).docx

Reducing Queue in Bank by Creating an Android App Using Cloud Computing

ABSTRACT Automated queue management system is a system that helps service provider to manage customer in efficient way. The system can ease the customer flow management which is useful for manager of the service provider. The purpose of this project is to develop an Automated Queue Management System for organizing queuing system that can analyze queue status and take decision which customer to be served first. This project focuses more on the banks queuing system, different queuing algorithm approaches which are used in banks to serve customer and the average waiting time. This queuing architecture model can switch between scheduling algorithms according to the testing result i.e. The average waiting time by using two different queue control systems which have developed. There are several process undergo, which control by Intel Galileo Microcontroller that is software-compatible with the Arduino software development environment. Finally, The system have been tested under different conditions to evaluate its performance. INRODUCTION Today, the biggest issue is facing queues in bank. Queue management in banks today have customers standing between two faux velvet ropes, tapping their feet, while they wait to be served. When times are changing, Some bank tend to fall behind. They can’t keep pace. Banks need to get up to speed when it comes to revolutionizing their queues. At least the average bank queue is more than 20minutes. Sometimes, it even lagged as long as 40minutes. Nobody wants to wait that long. They can inspire customer’s irritation. But anyone can learn how to reduce queues in banks by adopting nifty technology called a Queue Management System. OBJECTIVE To empowers you to efficiently book a virtual token at your own convenience from any place without being physically present in the branch. With No queue app, you can book a virtual queue ticket for your nearest branch and get real time status notification of your position in the queue. Thus you can virtually book your queue ticket to avoid long queues and spend your valuable time before we let you know when to arrive at the branch.

METHODOLOGY Data for this study were collected from the bank. The methods employed during data collection were direct observation and personal interview and questionnaire administering by the researcher. Data were collected for (4) weeks. The following assumptions were made for queuing system which is in accordance with the queue theory. They are:

Step 1 : Arrivals follow a Poisson probability distribution at an average rate of λ(lambda) customers per unit of time. Step 2: The queue discipline is First-Come, First-Served(FCFS) basis by any of the servers. There is no priority classification for any arrival. Step 3: Service times are distributed exponentially, with an average of μ customers per unit of time. Step 4: There is no limit to the number of the queue(infinite). Step 5: The service providers are working at their full capacity. Step 6: The average arrival rate is greater than average service rate. Step 7: Servers here represent cash transactors. Step 8: Service rate is independent of line length; Service providers do not go faster because the line is longer. SOFTWARE     

Domain-Cloud Computing Operating System-Android & Windows Front End-Android Application Back End-Drop Box Language Used-JAVA

HARDWARE  

Monitor Smart Phone

CONCLUSION As this is a very new “queuing” system to be proposed to the public and still consider it a “newbie” system therefore we do not add must multimedia elements in the application to avoid heavily loading and downloading loading lacking due to these issue might cause the system instability therefore currently we keep the application design as simple as possible. With the current improvement in telecommunication industry, We hope that internet speedy would not be an issue if in the later stage multimedia elements added in the application.