public void Calculate_SimulationTable(ref SimulationSystem s)
{
s.PerformanceMeasures.TotalSalesProfit = 0;
s.PerformanceMeasures.TotalLostProfit = 0;
s.PerformanceMeasures.TotalScrapProfit = 0;
s.PerformanceMeasures.TotalNetProfit = 0;
s.PerformanceMeasures.DaysWithUnsoldPapers = 0;
s.PerformanceMeasures.DaysWithMoreDemand = 0;
s.PerformanceMeasures.TotalCost = s.NumOfRecords * s.NumOfNewspapers * s.PurchasePrice;
s.UnitProfit = s.SellingPrice - s.PurchasePrice;
int index = 0;
for (int i = 0; i < s.NumOfRecords; i++)
{
SimulationCase SC = new SimulationCase();
SC.DayNo = i + 1;
SC.DailyCost = s.NumOfNewspapers * s.PurchasePrice;
SC.RandomNewsDayType = rnd.Next(1, 100);
for (int j = 0; j < s.DayTypeDistributions.Count; j++)
{
if (SC.RandomNewsDayType >= s.DayTypeDistributions[j].MinRange && SC.RandomNewsDayType <= s.DayTypeDistributions[j].MaxRange)
{
SC.NewsDayType = s.DayTypeDistributions[j].DayType;
}
}
SC.RandomDemand = rnd.Next(1, 100);
index = (int)SC.NewsDayType;
for (int j = 0; j < s.DemandDistributions.Count; j++)
{
if (SC.RandomDemand >= s.DemandDistributions[j].DayTypeDistributions[index].MinRange && SC.RandomDemand <= s.DemandDistributions[j].DayTypeDistributions[index].MaxRange)
{
SC.Demand = s.DemandDistributions[j].Demand;
}
}
if (SC.Demand > s.NumOfNewspapers)
{
SC.SalesProfit = s.SellingPrice * s.NumOfNewspapers;
SC.LostProfit = (SC.Demand - s.NumOfNewspapers) * s.UnitProfit;
SC.ScrapProfit = 0;
s.PerformanceMeasures.DaysWithMoreDemand += 1;
}
else
{
SC.SalesProfit = s.SellingPrice * SC.Demand;
SC.LostProfit = 0;
SC.ScrapProfit = (s.NumOfNewspapers - SC.Demand) * s.ScrapPrice;
}
if (SC.Demand < s.NumOfNewspapers)
{
s.PerformanceMeasures.DaysWithUnsoldPapers += 1;
}
SC.DailyNetProfit = SC.SalesProfit - SC.DailyCost - SC.LostProfit + SC.ScrapProfit;
s.PerformanceMeasures.TotalSalesProfit += SC.SalesProfit;
s.PerformanceMeasures.TotalLostProfit += SC.LostProfit;
s.PerformanceMeasures.TotalScrapProfit += SC.ScrapProfit;
s.PerformanceMeasures.TotalNetProfit += SC.DailyNetProfit;
s.SimulationTable.Add(SC);
}
}
public object Clone()
{
SimulationSystem system = MemberwiseClone() as SimulationSystem;
system.DayTypeDistributions = new List <DayTypeDistribution>(DayTypeDistributions);
system.DemandDistributions = new List <DemandDistribution>(DemandDistributions);
system.SimulationTable = new List <SimulationCase>(SimulationTable);
system.PerformanceMeasures = PerformanceMeasures.Clone() as PerformanceMeasures;
return(system);
}
public void DayType_Disribution(ref SimulationSystem s)
{
for (int i = 0; i < DayTypeDistributions.Count; i++)
{
if (i == 0)
{
s.DayTypeDistributions[i].CummProbability = s.DayTypeDistributions[i].Probability;
s.DayTypeDistributions[i].MinRange = 1;
s.DayTypeDistributions[i].MaxRange = Convert.ToInt32(s.DayTypeDistributions[i].CummProbability * 100);
}
else
{
s.DayTypeDistributions[i].CummProbability = s.DayTypeDistributions[i - 1].CummProbability + s.DayTypeDistributions[i].Probability;
s.DayTypeDistributions[i].MinRange = s.DayTypeDistributions[i - 1].MaxRange + 1;
s.DayTypeDistributions[i].MaxRange = Convert.ToInt32(s.DayTypeDistributions[i].CummProbability * 100);
}
}
}
public ManageSystem()
{
system = new SimulationSystem();
random = new Random();
}
