Parallel Queue Optimization Through Computer Aided Simulation and Queueing Theory - A Case Study on Matta Canteen of Sabaragamuwa University

Abstract

A greater awareness and higher use of simulation technology caused many recent advances in the industry. ARENATM is a commonly used and convenient modeling and animating tool in the industry. It is grounded on objectoriented programming concepts and hierarchical modeling. Queuing is an obvious problem of the domestic canteens lacking the business philosophy of customer-centric in a market economy. When the simulation is over, we can find the model results and investigate the performance measures of our interest. As a case study, we selected the Matta Canteen of the Sabaragamuwa University of Sri Lanka. We simulated their process from 11.30 am to 1.30 pm. We applied the M/M/c queuing model for 2, 3, and 4 servers. The current system of 2 serving points has a 52.6 second waiting time in the queue, 3 serving points have 3.1 seconds and 4 serving points has 0.6 seconds. The average of customers waiting in the queue for the 2 serving point model is around 10 customers, but for the 3 serving point model, it reduced to 1 customer. According to our model, our recommendation is the 3 parallel servers to the current system. Our recommendation is further proved as the optimal model of the system using ARENATM and the queuing theory.