Bank Queue Simulation - Performance Modeling Project

Project Overview

This repository contains the Performance Modeling mini project with analyzing the queue system at the Commercial Bank branch in Gelioya, Sri Lanka.

System Description

The Commercial Bank branch in Gelioya is a small banking facility serving the local community with limited resources:

• Resources: 1 Teller Counter, 1 ATM Machine
• Operating Hours: 9:00 AM - 3:00 PM (6 hours daily)
• Service Distribution: ~60% customers use teller, ~40% use ATM
• Average Arrival Rate: 1 customer every 4 minutes

Performance Objectives

The primary goal is to optimize the queue system performance by:

1. Minimizing Customer Wait Time - Target: Reduce average wait time to under 5 minutes
2. Optimizing Resource Utilization - Target: Maintain 60-75% utilization (currently >90%)
3. Reducing Queue Length - Target: Average queue <2 customers, max queue <5 customers
4. Identifying Bottlenecks - Determine which resources create constraints
5. Maximizing Throughput - Increase customer service capacity by 15-20%

Repository Contents

1. Deliverable_01.docx

Comprehensive document describing:

• System characteristics and stakeholders
• Performance objectives and metrics

2. bank_simulation_dataset.csv

Simulation dataset containing 31 customer transaction records:

• Current Setup: 1 Teller, 1 ATM (baseline)

Dataset Fields:

• customer_id: Unique transaction identifier
• arrival_time_min: Customer arrival time (minutes from opening)
• service_type: Teller or ATM
• service_time_min: Service duration
• wait_time_min: Queue waiting time
• queue_length_on_arrival: Queue size at arrival

Last Updated: October 31, 2025