Krirerk Tuanpusa. An application of SDLC and GIS in determination of delivery service area : case study of fast food restaurants in Phra Nakhon Si Ayutthaya province . Master's Degree(Technology of Information System Management). Mahidol University. : Mahidol University, 2007.
An application of SDLC and GIS in determination of delivery service area : case study of fast food restaurants in Phra Nakhon Si Ayutthaya province
Abstract:
The purpose of this research was to apply System Development Life Cycle (SDLC)
and Geographic Information System (GIS) by bringing Network Analysis into the
determination of service area. With this, the researcher narrowed down the Service Area of
fast food restaurants to Phra Nakhon Si Ayutthaya Province. The process consisted of five
procedures: Feasibility Studying, Analyzing, Designing, Data Processing, and Testing.
After the Feasibility Study, some factors were selected for analysis: Drive Time
(kilometers per hour), U-Turn, Traffic Signals, and Directions. After that, the secondary data
was collected and adjusted. As for the procedure, routes were randomly selected to find out
the average speed on different types of roads. The results were as follows the average speed
for National Highway was 49.79 kilometers per hour, the average speed for Provincial
Highway was 50.73, and the average speed for other types of roads was 36.81. When all data
were collected, the researcher inputted the Network Analysis stage by using Network Analyst
Extension for ArcView 3.3 Program. A map showing the delivery service area was drawn up.
This map also showed different travel times, such as time of 5, 10, and 15 minutes.
For the research, six routes were chosen for each branch and the actual time was
recorded and compared with the analyzed time. The researcher used the t-test hypothesis at
0.05, t = 1.8108. As a result, the research can be considered as reliable.
The major problem of this research was the duplication of the service areas between
branches. Future researches in the future, then, should also consider other additional factors to
be used in the network analysis in order to eliminate duplication