Digital Queuing Management System

Project Title

Digital Queuing Management System

Project Area of Specialization Artificial IntelligenceProject Summary

Introduction
Numbered tickets, served by ticket dispensers, are probably the simplest existing technology for managing waiting lines. A staff member operating a queued service can simply call the next ticket aloud and register the last called number. Alternatively, this same operator can press a button that makes a speaker signal the call and a LED display to show the ticket number being called. With this current technology the waiting customers have no way to know when their ticket is about to be called. They can only look at the current number in the LCD display, and make an educated guess by watching its progress, not being automatically of the current average time estimate. This forces them to wait near the service, possible for long, or otherwise they risk losing
their turn. Likewise, there is no means of providing automatic feedback to the staff about current queue growth or about the effectiveness of their queue operation, based on tickets dispensed and customers served. Recording service activity data in the long run is useful to detect patterns in the service operation, like periods of higher affluence of customers, periods of lower service efficiency or any others patterns that might be found. By having this bulk data, its analysis could pinpoint the weak points of the system and where to act in order to improve the service.

Project Objectives

Scope
Queue management is performed on textual data and recorded data from the service provided to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs and note the time taken by the service provider to customer and analysis service provider behavior.

Objective
Our main objective is that to facilitate the user and reduce human effort and put the entire load on machine rather than our user.

Project Implementation Method

Implementation

The development phase is the process of implementing the analysis and the design phase into technical part which is the code. This project implements the queue data structures which also called First In First Out data structure. The approach is using array-based queue as it stores the data element in turn one by one.However, there is a concern where adding an element to a full queue and removing an element from an empty queue would generate errors or exceptions: queue overflow exception and queue underflow exception. 

• QueueException extends RunTimeException 
• QueueOverFlowException extends QueueException 
• QueueUnderFlowException extends QueueException

This implementation requires arrays to store the queue elements, thus, instance variables will be created. The variables are listed below:

• queueFront (keeps track of the first element)
• queueRear (keeps track of the last element)
• maxQueueSize (specifies the maximum size of the queue)

Secondly in this respective project we are going to examine the task and store the duration and check for the validation and set a flag against it to determine and to profile the service provider.

• identify the task against ticket
• identify task complexity 
• determine the time taken against ticket and task
• determine service provider behavior against task and ticket
• analysis the remarks of customer
• do profiling of service provider
• generate notifications

in this project we will be also be developing a mobile app and web system base interface.

However, as the time goes on, there are problems determined with this implementation.

Benefits of the Project

Benefits

• Provide the status of the system
• helps to improve the system
• helps to improve customers dealing
• helps to improve the training of service provider
• help to analysis each service provider on term of data entry ,time taken against a ticket and customer remarks 
• helps to generate notifications against customers and service provider to improve the system
• customer will have a proper status about his/her task. or track the status of task
• customer can generate remarks against the service

Technical Details of Final Deliverable

Technical Details

• ticket generator
• ticket generator from moblie app
• adjusting ticket in que 
• assigning ticket to service provider
• keep track of ticket
• call for ticket
• identify task against the ticket
• identify data enter against the ticket
• identify the performance of the system
• identify the performance of the service provider on different scales.
• generate notification
• allow customer to generate remarks against the service 
• identify time taken against the ticket while service
• etc

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Others Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	49000
Number system lcd	Equipment	1	10000	10000
token dispenser printer	Equipment	1	26000	26000
table	Equipment	1	13000	13000