Deliverable #1: Project Proposal Summary and Project Plan


The online voting system aims in reducing the complexity and cost of the election process. Here the voter can vote in spite of his absence in the particular locality. The administrator’s effort is much reduced by checking the election status of all the localities individually forms a place and it is easy for him to announce the election result. The administrator is the soul controller of the online voting system in all process including refreshing the votes, editing the voter details, creating new nominee and so on. Thus the online voting system can reduce the cost and effort of election process.

Statement of Need

In this digital age, we are still dependent on old-style ballot voting. Despite the fact that people get used to practicing traditional method of the voting system i.e. ballot style. Some people can argue that this is the best way to contest an election. However, there are some countries such as Brazil, Canada, Estonia, Germany, India, Norway, Switzerland, Netherlands and United States who have decided to switch from a traditional method of voting to Internet voting. In Canada, not contesting a vote is illegal. The purpose of our project is to promote Internet voting and to show the benefits of this system. Many countries have faced the lack of proportional representation, and therefore, Internet voting would be a good starting point to increase voter participation and to achieve a fair election process. The key factor for the government is to deliver faster and fair results for their citizens. Our project will satisfy a majority of the people by giving them an opportunity to control their votes and to show how this system works. Off-line voting has caused heavy expenses in hiring people, printing papers, reserving institutions for voting, etc. causing frustration amongst people. Through our project, we want to indicate that Internet voting is a very convenient method of the voting system because it saves your time, money, provides a privacy and accuracy, keep a track on non-voters and its available for everyone who is eligible to participate.

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According to Jin et al. (2013), waiting time for GP services in hospitals has been a major difficulty to the delivery of quality healthcare in the United Kingdom. The government policies focused on reducing the waiting time in the previous decades, yet it has remained the long routing for hospital procedures. One of the major objectives of the UK government became implementing policy reform to reduce GP waiting time (p. 2191).


As the population increases, the public outpatient services face a challenge of delivering services to patients in time. There is an increasing demand for General Practice services, both primary care and GPs since the baby generation are moving to develop at a high rate. On the other hand, medical resources like medical facilities and doctors are not expanding at the required rate to accommodate the increase in demand. The result is an overflow of hospitals with patients in needs of services. It follows that healthcare providers and hospitals must use the available General practitioners but rely on an improved flow control as well as a better capacity apportionment to reduce the adverse effect of patient long waiting time in GP (Jin et al., 2013, p. 2193).


This simulation project develops the current situation in the Carters Green Medical Centre GP in the United Kingdom regarding the arrival time and the time of completion of services. The GP in this facility are facing delays in waiting time. After the modeling, there should be a reduction in the time spent as waiting and service time. Many other variables in the healthcare management system affect the patient waiting time, which includes the availability of resources at the GP center. This simulation chooses factors that are controllable and implementing the control system to register a reduced waiting time in GP. Variables like the growth of resources are a difficulty of corporate planning, which the company has to try to beat the problem without relying on resource increase (Mandahawi et al., 2010, p. 94) The conclusions drawn from the simulation are meant to reduce the problem of waiting time in GP.

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