public SimulationInfo[] Simulate(int days, double buyPrice, double salePrice, double scrapPrice, int Amount)
{
totalSaleRev = 0;
totalLostProfit = 0;
totalScrapRev = 0;
totalDaysUnsold = 0;
totalDaysExcess = 0;
MinimumProfit = Double.MaxValue;
MaximumProfit = Double.MinValue;
if (randomMachine == null)
{
return(null);
}
SimulationInfo[] data = new SimulationInfo[days];
for (int i = 0; i < days; i++)
{
SimulationInfo instance = new SimulationInfo();
instance.Day = i + 1;
instance.type_rand = (int)(randomMachine.GenerateDayType() * 100);
instance.day_type = randomMachine.Type;
instance.demand_random = (int)(randomMachine.GenerateDemandAmount() * 100);
instance.demand = randomMachine.Demand;
instance.sales_revenue = Amount > randomMachine.Demand
? randomMachine.Demand * salePrice
: Amount * salePrice;
instance.lost_profit = Amount < randomMachine.Demand
? (randomMachine.Demand - Amount) * (salePrice - buyPrice)
: 0;
instance.scrap_sales = Amount > randomMachine.Demand ? (Amount - randomMachine.Demand) * scrapPrice : 0;
instance.daily_profit = instance.sales_revenue - (Amount * buyPrice) - instance.lost_profit +
instance.scrap_sales;
instance.sales_revenue = Math.Truncate(instance.sales_revenue * 100) / 100;
instance.lost_profit = Math.Truncate(instance.lost_profit * 100) / 100;
instance.scrap_sales = Math.Truncate(instance.scrap_sales * 100) / 100;
instance.daily_profit = Math.Truncate(instance.daily_profit * 100) / 100;
MinimumProfit = Math.Min(MinimumProfit, instance.daily_profit);
MaximumProfit = Math.Max(MaximumProfit, instance.daily_profit);
totalSaleRev += instance.sales_revenue;
totalLostProfit += instance.lost_profit;
totalScrapRev += instance.scrap_sales;
if (instance.demand > Amount)
{
totalDaysExcess++;
}
if (Amount > instance.demand)
{
totalDaysUnsold++;
}
data[i] = instance;
}
totalNewsCost = (double)Amount * buyPrice;
totalNetProfit = totalSaleRev - TotalNewsCost - totalLostProfit + totalScrapRev;
return(data);
}
