Welcome to the Car Dealer Simulation project repository! This simulation aims to replicate the dynamics of a car dealership, providing a comprehensive platform for inventory management, profit maximization, and performance analysis. Here are the key objectives and features of the simulation:
Objectives:
Inventory Management:
Efficiently manage the inventory and showroom to meet the daily demand. Strategically place orders to maintain a balance between demand and inventory levels. Profit Maximization:
Calculate the net profit based on selling cars, holding expenses, and order costs. Analyze the average net profit over the simulation period. Performance Metrics:
Track and analyze metrics such as average ending units in the showroom and inventory. Identify the number of days with shortage conditions. Comparison with Theoretical Values:
Compare experimental average demand and lead time with theoretical values based on specified probabilities. Additional Considerations:
The simulation starts with an initial inventory of 3 cars and a showroom with 4 cars. Orders are placed with a quantity to fill both the inventory and showroom to their maximum limits. Shortages occur when the demand exceeds the available inventory and showroom capacity. Notes:
The code calculates and prints various metrics, including average ending units, the number of shortage days, average net profit, and theoretical vs. experimental averages for demand and lead time.