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This study focuses on modeling and simulating the dining behavior of students in a dormitory restaurant environment. It analyzes the arrival patterns, service times, and dinner duration of 493 students over one hour using various statistical distributions, including Weibull and beta distributions. The data was collected with a stopwatch by a team of four observers, ensuring accurate timing of each phase of the dining process—from arrival to garbage disposal. This research aids in optimizing restaurant operations by understanding student behavior and service dynamics.
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Dormitory Restaurant Simulation Members: Chang-SuJeon Wang Zhenguo Byung-Sun Park Min-JungKwon
Suppose: • All the students should follow the sequence we define. • The pace of each student is same. • Each process has the fix capacity. • The distribution of each student dinner time is independent.
Data Information Collection • Day: 2006. 11. 28 • Time: 11:40~12:40(1 hour) • Tool: Stopwatch(4) • Person: 4
1. Arrive Number of Student (Minute) Total: 493
Arrive Number Distribution Weibull
2. Check Time (Second) Service Time
3. Fetch DishwareTime Distribution Service Time
Fetch Dishware Time Distribution Weibull
4. Fetch Plates Time (Second) Service Time
5. Fetch Food Time(Second) Service Time
6. Dinner Time (Minute) Service Time
8. Drink WaterTime (Second) Service Time