Project Title: Automated Scheduling of Staff at Pizza Hut
Student: Charlene Ellison
Course: BSc Hons Computer Science and Management
	
Abstract:
This dissertation aims to create a product that will maximise 
staff efficiency through rostering. Pizza Hut has a variety 
of staff and constraints that have to be considered when 
creating a schedule. A more efficient schedule will consider 
staff requests and follow agreed guidelines and sales forecasts. 
To ensure the running of a Pizza Hut store is run to its full 
potential which will maximise customer satisfaction, ultimately 
maximising profits, it is essential to have a motivated work 
force where tasks are distributed evenly. The project will 
start the analysis by analysing the problem and conducting a 
literature review along with reviewing exiting software to 
identify a gap within the market. This was identified to be 
a small system that would take pregenerated forecasts and 
automate the scheduling process and many products would only 
offer a complete process and many did not allow compete 
customisation of the schedules. From this analysis stage a 
list of hard and soft constraints were identified along with 
a functional specification which will outline and be the 
bases of the design and implementation stages. The design 
has greatly considered the end user in terms of functionality 
and interfacing, designing a system that will allow 
customisation and flexibility whilst still maintaining 
an automated process. The implementation consisted of 
creating and following the design process whilst making 
amendments as were necessary to ensure a fluid design of 
functions and formulae. The rapid prototyping approach 
allowed changes and improvements to be made quickly as 
any problems arose allowing the system to be designed more 
accurately. As the design split the program into smaller 
functions this allowed smaller areas of the program to be 
changed without having great implications on the rest of 
the program. Finally this report concludes by carrying out 
a testing checking the system can cope with various types 
of typical and extreme data. It has also allowed the 
protection put into place to be tested and to test the 
boundary and validation on data. The conclusion summarises 
the report considers how effectively it has met the 
specification, and outlines areas of further study along 
with any improvement that could be made.