Expert Queuing System using Statistical Analysis and Fuzzy Logic Technique

Abstract

This research suggests an expert or smart queue system to control the auditors in government and private companies characterized by the number of critics, where the proposed system determine the proper queue of client by calculating the average length of time for the work of each employee (service) and determine the type of operation approved, with the number of employees and auditors registered, and enter these data for computations based  on fuzzy logic. These processes determine the length of time needed to finish a number of processes. The number of clients expected their service are determined based on the number and type of operation which can create a timetable for operations within the working time (primary queue ) .  As case study the Department of Civil Affairs is ben taken.

Keywords: expert systems, fuzzy logic, queuing system, .smart queuing systems, queuing management.