Abstract
This paper deals with problems related to the task assignment of an emergency business process management (BPM) in a police station. The current task assignment in a police station is usually based on a FIFO (First-In-First-Out) rule; it assigns a case to a closest patrol car from the scene of an accident, on a first-come-first-served basis. This is a typical way of dealing with accidents in police stations but overall efficiency has been often neglected. As a result, the total processing time of accidents can be delayed. This paper presents a Genetic Algorithm (GA) that reduces the total processing time of emergency business processes. Performance-comparison experiments were conducted on real case scenarios. Also, effects of genetic parameters on emergency BPM were analyzed.
| Original language | English |
|---|---|
| Pages (from-to) | 1311-1316 |
| Number of pages | 6 |
| Journal | ICIC Express Letters, Part B: Applications |
| Volume | 6 |
| Issue number | 5 |
| State | Published - 1 Jan 2015 |
Keywords
- Business process management
- Emergency
- Genetic Algorithm
- Task assignment