private void DistributionsOfDemand()
{
for (int i = 0; i < 3; i++)
{
DemandDistributions.ElementAt(0).DayTypeDistributions.ElementAt(i).CummProbability = DemandDistributions.ElementAt(0).DayTypeDistributions.ElementAt(i).Probability;
DemandDistributions.ElementAt(0).DayTypeDistributions.ElementAt(i).MinRange = 0;
DemandDistributions.ElementAt(0).DayTypeDistributions.ElementAt(i).MaxRange = Convert.ToInt32(DemandDistributions.ElementAt(0).DayTypeDistributions.ElementAt(i).CummProbability * 100);
for (int j = 1; j < DemandDistributions.Count; j++)
{
if (DemandDistributions.ElementAt(j - 1).DayTypeDistributions.ElementAt(i).CummProbability == 1)
{
DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).CummProbability = 1;
}
else
{
DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).CummProbability = DemandDistributions.ElementAt(j - 1).DayTypeDistributions.ElementAt(i).CummProbability + DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).Probability;
}
if (DemandDistributions.ElementAt(j - 1).DayTypeDistributions.ElementAt(i).MaxRange == 100 || DemandDistributions.ElementAt(j - 1).DayTypeDistributions.ElementAt(i).MaxRange == 0)
{
DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).MaxRange = 0;
DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).MinRange = 0;
}
else
{
DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).MinRange = DemandDistributions.ElementAt(j - 1).DayTypeDistributions.ElementAt(i).MaxRange + 1;
DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).MaxRange = Convert.ToInt32(DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(i).CummProbability * 100);
}
}
}
}
///////////// SimulationTable ////////////////
public void fillTable()
{
Random rand = new Random();
for (int i = 1; i <= NumOfRecords; i++)
{
SimulationCase sc = new SimulationCase();
sc.DayNo = i;
sc.RandomNewsDayType = rand.Next(1, 101);
sc.RandomDemand = rand.Next(1, 101);
if (sc.RandomNewsDayType >= DayTypeDistributions.ElementAt(0).MinRange&& sc.RandomNewsDayType <= DayTypeDistributions.ElementAt(0).MaxRange)
{
sc.NewsDayType = Enums.DayType.Good;
}
else if (sc.RandomNewsDayType >= DayTypeDistributions.ElementAt(1).MinRange&& sc.RandomNewsDayType <= DayTypeDistributions.ElementAt(1).MaxRange)
{
sc.NewsDayType = Enums.DayType.Fair;
}
else
{
sc.NewsDayType = Enums.DayType.Poor;
}
if (sc.NewsDayType == Enums.DayType.Good)
{
for (int j = 0; j < DemandDistributions.Count; j++)
{
if (sc.RandomDemand >= DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(0).MinRange&& sc.RandomDemand <= DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(0).MaxRange)
{
sc.Demand = DemandDistributions.ElementAt(j).Demand;
}
}
}
else if (sc.NewsDayType == Enums.DayType.Fair)
{
for (int j = 0; j < DemandDistributions.Count; j++)
{
if (sc.RandomDemand >= DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(1).MinRange&& sc.RandomDemand <= DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(1).MaxRange)
{
sc.Demand = DemandDistributions.ElementAt(j).Demand;
}
}
}
else
{
for (int j = 0; j < DemandDistributions.Count; j++)
{
if (sc.RandomDemand >= DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(2).MinRange&& sc.RandomDemand <= DemandDistributions.ElementAt(j).DayTypeDistributions.ElementAt(2).MaxRange)
{
sc.Demand = DemandDistributions.ElementAt(j).Demand;
}
}
}
sc.DailyCost = NumOfNewspapers * PurchasePrice;
if (sc.Demand >= NumOfNewspapers)
{
sc.SalesProfit = NumOfNewspapers * SellingPrice;
sc.LostProfit = (sc.Demand - NumOfNewspapers) * (SellingPrice - PurchasePrice);
sc.ScrapProfit = 0;
}
else if (NumOfNewspapers > sc.Demand)
{
sc.SalesProfit = sc.Demand * SellingPrice;
sc.ScrapProfit = (NumOfNewspapers - sc.Demand) * ScrapPrice;
sc.LostProfit = 0;
}
sc.DailyNetProfit = sc.SalesProfit - sc.DailyCost - sc.LostProfit + sc.ScrapProfit;
SimulationTable.Add(sc);
}
}