首先需要了解什么是Mean rate lost customer。该指标是指公司在失去客户时每小时平均失去的客户数量。因此,需要计算客户离开公司的速率,即每小时失去的客户数。该指标是客户服务和满意度的重要衡量指标,因为它显示客户对公司的忠诚度。
在AnyLogic中,可以通过建立一个客户代理模型来计算每小时失去的客户数。以下是一个简单的示例:
//创建一个Customer类
public class Customer {
private double loyaltyLevel;
public Customer(double loyaltyLevel) {
this.loyaltyLevel = loyaltyLevel;
}
public double getLoyaltyLevel() {
return loyaltyLevel;
}
public void setLoyaltyLevel(double loyaltyLevel) {
this.loyaltyLevel = loyaltyLevel;
}
}
//创建客户代理模型
public class CustomerGenerator extends Agent {
private final int CUSTOMER_LOYALTY_LEVEL = 5;
private Random rand;
public CustomerGenerator() {
rand = new Random();
}
public void generateCustomers(int numCustomers, double customerExitProbability) {
for (int i = 0; i < numCustomers; i++) {
Customer customer = new Customer(CUSTOMER_LOYALTY_LEVEL);
if (rand.nextDouble() < customerExitProbability) {
//客户离开了公司
}
}
}
}