void AddUser()
{
if (SimulationTable.Count == 100)
{
return;
}
SimulationCase tmp = new SimulationCase();
tmp.CustomerNumber = SimulationTable.Count + 1; //A
if (tmp.CustomerNumber == 1)
{
tmp.RandomInterArrival = 1; //B
tmp.InterArrival = 0; //C
tmp.ArrivalTime = 0; //D
}
else
{
tmp.RandomInterArrival = rnd.Next(100) + 1; //B
tmp.InterArrival = getTime(InterarrivalDistribution, tmp.RandomInterArrival); // C
tmp.ArrivalTime = SimulationTable[SimulationTable.Count - 1].ArrivalTime + tmp.InterArrival; //D
}
tmp.RandomService = rnd.Next(100) + 1; //E
simulationQueue.Enqueue(tmp.CustomerNumber - 1);
SimulationTable.Add(tmp);
}
public void BuildSimulationTable()
{
var rand = new Random();
for (int i = 0; i < NumOfRecords; i++)
{
var simulationCase = new SimulationCase
{
DayNo = i + 1,
RandomNewsDayType = rand.Next(1, 101),
RandomDemand = rand.Next(1, 101)
};
simulationCase.NewsDayType = GetDayType(simulationCase.RandomNewsDayType);
simulationCase.Demand = GetDemand(simulationCase.RandomDemand, simulationCase.NewsDayType);
simulationCase.DailyCost = NumOfNewspapers * PurchasePrice;
simulationCase.SalesProfit = Math.Min(NumOfNewspapers, simulationCase.Demand) * SellingPrice;
var diffrence = simulationCase.Demand - NumOfNewspapers;
simulationCase.LostProfit = ((diffrence > 0) ? diffrence * UnitProfit : 0);
simulationCase.ScrapProfit = ((diffrence < 0) ? Math.Abs(diffrence) * ScrapPrice : 0);
simulationCase.DailyNetProfit = simulationCase.SalesProfit - simulationCase.DailyCost - simulationCase.LostProfit + simulationCase.ScrapProfit;
SimulationTable.Add(simulationCase);
}
}
public void Run()
{
int LastCustomer = 0;
for (int CustomerID = 1; CustomerID <= this.StoppingNumber; CustomerID++)
{
SimulationCase CurrentCase = new SimulationCase();
CurrentCase.CustomerNumber = CustomerID;
if (CustomerID != 1)
{
CurrentCase.RandomInterArrival = Generator.Next(1, 100);
CurrentCase.InterArrival = GetInterarrivalTime(CurrentCase.RandomInterArrival);
}
else
{
CurrentCase.RandomInterArrival = 1;
CurrentCase.InterArrival = 0;
}
CurrentCase.ArrivalTime = LastCustomer + CurrentCase.InterArrival;
LastCustomer = CurrentCase.ArrivalTime;
CurrentCase.RandomService = Generator.Next(1, 100);
SimulationTable.Add(CurrentCase);
}
Serve();
}
public void simulate(string fnam)
{
readfile(fnam);
Random day = new Random();
Random demand = new Random();
for (int i = 1; i <= NumOfRecords; i++)
{
SimulationCase sc = new SimulationCase();
sc.DayNo = i;
sc.RandomNewsDayType = day.Next(1, 100);
for (int h = 0; h < DayTypeDistributions.Count; h++)
{
if (DayTypeDistributions[h].MinRange <= sc.RandomNewsDayType && DayTypeDistributions[h].MaxRange >= sc.RandomNewsDayType)
{
sc.NewsDayType = DayTypeDistributions[h].DayType;
break;
}
}
sc.RandomDemand = demand.Next(1, 100);
sc.Demand = get_demand(sc.RandomDemand, sc.NewsDayType);
sc.DailyCost = NumOfNewspapers * PurchasePrice;
sc.SalesProfit = Math.Min(sc.Demand, NumOfNewspapers) * SellingPrice;
if (sc.Demand < NumOfNewspapers)
{
sc.ScrapProfit = (NumOfNewspapers - sc.Demand) * ScrapPrice;
sc.DailyNetProfit = sc.SalesProfit + sc.ScrapProfit - sc.DailyCost;
}
else if (sc.Demand > NumOfNewspapers)
{
sc.LostProfit = (sc.Demand - NumOfNewspapers) * UnitProfit;
sc.DailyNetProfit = sc.SalesProfit - sc.LostProfit - sc.DailyCost;
}
else
{
sc.DailyNetProfit = sc.SalesProfit - sc.DailyCost;
}
if (sc.ScrapProfit != 0)
{
PerformanceMeasures.DaysWithUnsoldPapers += 1;
}
if (sc.LostProfit != 0)
{
PerformanceMeasures.DaysWithMoreDemand += 1;
}
PerformanceMeasures.TotalLostProfit += sc.LostProfit;
PerformanceMeasures.TotalScrapProfit += sc.ScrapProfit;
PerformanceMeasures.TotalCost += sc.DailyCost;
PerformanceMeasures.TotalNetProfit += sc.DailyNetProfit;
PerformanceMeasures.TotalSalesProfit += sc.SalesProfit;
SimulationTable.Add(sc);
}
}
public void sim()
{
int ncycle = NumberOfDays / ReviewPeriod;
int da = 1;
Random rnd = new Random();
Random rndd = new Random();
int startshortq = 0;
for (int i = 1; i <= ncycle; i++)
{
for (int j = 1; j <= ReviewPeriod; j++)
{
if (j == (StartLeadDays + 1))
{
StartInventoryQuantity += StartOrderQuantity;
}
SimulationCase c = new SimulationCase();
c.Day = da;
da++;
c.Cycle = i;
c.DayWithinCycle = j;
c.BeginningInventory = StartInventoryQuantity;
c.RandomDemand = rnd.Next(1, 101);
c.Demand = get_dist(c.RandomDemand, DemandDistribution);
if (c.Demand + startshortq <= c.BeginningInventory)
{
c.EndingInventory = c.BeginningInventory - c.Demand - startshortq;
startshortq = 0;
StartInventoryQuantity = c.EndingInventory;
}
else if (c.Demand + startshortq > c.BeginningInventory)
{
c.EndingInventory = 0;
StartInventoryQuantity = 0;
c.ShortageQuantity = c.Demand - c.BeginningInventory + startshortq;
startshortq = c.ShortageQuantity;
}
if (j == ReviewPeriod)
{
c.OrderQuantity = OrderUpTo - c.EndingInventory + c.ShortageQuantity;
StartOrderQuantity = c.OrderQuantity;
c.RandomLeadDays = rndd.Next(1, 101);
c.LeadDays = get_dist(c.RandomLeadDays, LeadDaysDistribution);
StartLeadDays = c.LeadDays;
}
PerformanceMeasures.EndingInventoryAverage += c.EndingInventory;
PerformanceMeasures.ShortageQuantityAverage += c.ShortageQuantity;
SimulationTable.Add(c);
}
}
PerformanceMeasures.EndingInventoryAverage = (decimal)(PerformanceMeasures.EndingInventoryAverage / NumberOfDays);
PerformanceMeasures.ShortageQuantityAverage = (decimal)(PerformanceMeasures.ShortageQuantityAverage / NumberOfDays);
}
public void fillSimulationTable()
{
for (int i = 1; i <= NumOfRecords; i++)
{
SimulationCase tempCase = new SimulationCase();
tempCase.DayNo = i;
tempCase.setNewsDayType(DayTypeDistributions);
tempCase.setDemand(DemandDistributions);
tempCase.fill(NumOfNewspapers, PurchasePrice, SellingPrice, ScrapPrice, UnitProfit);
SimulationTable.Add(tempCase);
}
}
public void Simulate()
{
PerformanceMeasures.DaysWithMoreDemand = 0;
PerformanceMeasures.DaysWithUnsoldPapers = 0;
PerformanceMeasures.TotalCost = 0;
PerformanceMeasures.TotalLostProfit = 0;
PerformanceMeasures.TotalNetProfit = 0;
PerformanceMeasures.TotalSalesProfit = 0;
PerformanceMeasures.TotalScrapProfit = 0;
for (int i = 1; i <= NumOfRecords; i++)
{
SimulationCase sc = new SimulationCase();
sc.DayNo = i;
sc.RandomNewsDayType = rnd.Next(1, 101);
foreach (DayTypeDistribution DTD in DayTypeDistributions)
{
if (sc.RandomNewsDayType >= DTD.MinRange && sc.RandomNewsDayType <= DTD.MaxRange)
{
sc.NewsDayType = DTD.DayType;
}
}
sc.RandomDemand = rnd.Next(1, 101);
foreach (DemandDistribution DD in DemandDistributions)
{
if (sc.RandomDemand >= DD.DayTypeDistributions[(int)sc.NewsDayType].MinRange && sc.RandomDemand <= DD.DayTypeDistributions[(int)sc.NewsDayType].MaxRange)
{
sc.Demand = DD.Demand;
}
}
sc.SalesProfit = Math.Min(NumOfNewspapers, sc.Demand) * SellingPrice;
PerformanceMeasures.TotalSalesProfit += sc.SalesProfit;
sc.ScrapProfit = Math.Max(0, NumOfNewspapers - sc.Demand) * ScrapPrice;
PerformanceMeasures.TotalScrapProfit += sc.ScrapProfit;
PerformanceMeasures.DaysWithUnsoldPapers += (sc.ScrapProfit > 0)? 1: 0;
sc.LostProfit = Math.Max(0, sc.Demand - NumOfNewspapers) * UnitProfit;
PerformanceMeasures.TotalLostProfit += sc.LostProfit;
PerformanceMeasures.DaysWithMoreDemand += (sc.LostProfit > 0) ? 1 : 0;
sc.DailyCost = NumOfNewspapers * PurchasePrice;
PerformanceMeasures.TotalCost += sc.DailyCost;
sc.DailyNetProfit = sc.SalesProfit - sc.DailyCost - sc.LostProfit + sc.ScrapProfit;
PerformanceMeasures.TotalNetProfit += sc.DailyNetProfit;
SimulationTable.Add(sc);
}
}
////////////////////////////////
void runSimulation()
{
Random random = new Random();
for (int i = 0; i < NumOfRecords; i++)
{
SimulationCase simCase = new SimulationCase();
simCase.DayNo = i + 1;
simCase.RandomNewsDayType = random.Next(1, 100);
simCase.NewsDayType = getDayType(simCase.RandomNewsDayType);
simCase.RandomDemand = random.Next(1, 100);
simCase.Demand = getDemand(simCase.NewsDayType, simCase.RandomDemand);
simCase.DailyCost = CalcDaiyCost();
simCase.SalesProfit = calcDailyProfit(simCase.Demand);
simCase.LostProfit = calcLostProfit(simCase.Demand);
simCase.ScrapProfit = calcSalvageFromSaleOfScrap(simCase.Demand);
simCase.DailyNetProfit = calcDailyNetProfit(simCase.SalesProfit, simCase.DailyCost, simCase.LostProfit, simCase.ScrapProfit);
SimulationTable.Add(simCase);
}
}
public void Start_Process()
{
int c = 0;
Random rand = new Random();
SimulationCase row;
while (c < NumOfRecords)
{
row = new SimulationCase();
row.DayNo = c + 1;
row.RandomNewsDayType = rand.Next(1, 101);
row.NewsDayType = Get_Day_Type(DayTypeDistributions, row.RandomNewsDayType);
row.RandomDemand = rand.Next(1, 101);
row.Demand = Get_Demand(DemandDistributions, row.RandomDemand, row.NewsDayType.ToString());
row.DailyCost = Cost;
row.SalesProfit = row.Demand * SellingPrice;
if (row.Demand > NumOfNewspapers)
{
row.SalesProfit = NumOfNewspapers * SellingPrice;
row.LostProfit = (row.Demand - NumOfNewspapers) * (SellingPrice - PurchasePrice);
PerformanceMeasures.DaysWithMoreDemand++;
}
if (row.Demand < NumOfNewspapers)
{
row.ScrapProfit = (NumOfNewspapers - row.Demand) * ScrapPrice;
PerformanceMeasures.DaysWithUnsoldPapers++;
}
row.DailyNetProfit = row.SalesProfit - row.DailyCost - row.LostProfit + row.ScrapProfit;
// rest of performance calculations
PerformanceMeasures.TotalCost += row.DailyCost;
PerformanceMeasures.TotalSalesProfit += row.SalesProfit;
PerformanceMeasures.TotalScrapProfit += row.ScrapProfit;
PerformanceMeasures.TotalLostProfit += row.LostProfit;
PerformanceMeasures.TotalNetProfit += row.DailyNetProfit;
SimulationTable.Add(row);
c++;
}
}
public void BeginSimulation()
{
Random R = new Random();
for (int i = 0; i < NumOfRecords; i++)
{
SimulationCase SC = new SimulationCase();
SC.DayNo = i + 1;
SC.RandomNewsDayType = R.Next(1, 100);
SC.NewsDayType = GetDayType(SC.RandomNewsDayType);
SC.RandomDemand = R.Next(1, 100);
SC.Demand = GetDemand(SC.RandomDemand, SC.NewsDayType);
SC.DailyCost = NumOfNewspapers * PurchasePrice;
SC.SalesProfit = NumOfNewspapers * SellingPrice;
decimal ProfitPerPiece = SellingPrice - PurchasePrice;
if (SC.Demand > NumOfNewspapers)
{
SC.LostProfit = (SC.Demand - NumOfNewspapers) * ProfitPerPiece;
SC.ScrapProfit = 0;
}
else if (SC.Demand < NumOfNewspapers)
{
SC.ScrapProfit = (NumOfNewspapers - SC.Demand) * ScrapPrice;
SC.SalesProfit -= (NumOfNewspapers - SC.Demand) * SellingPrice;
SC.DailyNetProfit += SC.ScrapProfit;
SC.LostProfit = 0;
}
else
{
SC.ScrapProfit = 0;
SC.LostProfit = 0;
}
SC.DailyNetProfit = SC.SalesProfit - SC.DailyCost - SC.LostProfit + SC.ScrapProfit;
SimulationTable.Add(SC);
}
Resas();
}
public void set_simulation_case()
{
Random rd = new Random();
bool setdaytype = false;
for (int i = 0; i < NumOfRecords; i++)
{
SimulationTable.Add(new SimulationCase());
SimulationTable[i].DayNo = i + 1;
SimulationTable[i].RandomNewsDayType = rd.Next(1, 100);
foreach (DayTypeDistribution item in DayTypeDistributions)
{
if (SimulationTable[i].RandomNewsDayType >= item.MinRange && SimulationTable[i].RandomNewsDayType <= item.MaxRange)
{
SimulationTable[i].NewsDayType = item.DayType;
setdaytype = true;
break;
}
}
if (setdaytype == true)
{
SimulationTable[i].RandomDemand = rd.Next(1, 100);
foreach (DemandDistribution item2 in DemandDistributions)
{
foreach (DayTypeDistribution item3 in item2.DayTypeDistributions)
{
if (SimulationTable[i].NewsDayType == item3.DayType)
{
if (SimulationTable[i].RandomDemand >= item3.MinRange && SimulationTable[i].RandomDemand <= item3.MaxRange)
{
SimulationTable[i].Demand = item2.Demand;
}
}
}
}
}
}
}
private void Prepare_Customers()
{
int lastArrival = 0;
for (int i = 1; i <= maxCustomers; i++)
{
MultiQueueModels.SimulationCase simCase = new MultiQueueModels.SimulationCase();
simCase.CustomerNumber = i;
//Arrival
if (i == 1)
{
simCase.RandomInterArrival = 1;
simCase.InterArrival = 1;
simCase.ArrivalTime = 0;
}
else
{
simCase.RandomInterArrival = rnd.Next(1, 101);
for (int j = 0; j < InterarrivalDistribution.Count; j++)
{
if (simCase.RandomInterArrival >= InterarrivalDistribution[j].MinRange &&
simCase.RandomInterArrival <= InterarrivalDistribution[j].MaxRange)
{
simCase.InterArrival = InterarrivalDistribution[j].Time;
simCase.ArrivalTime = lastArrival + simCase.InterArrival;
break;
}
}
lastArrival = simCase.ArrivalTime;
}
//Service
simCase.RandomService = rnd.Next(1, 101);
simCase.TimeInQueue = 0;
SimulationTable.Add(simCase);
}
}
public Tuple <decimal, decimal> FillSimulationTable()
{
int orderArrival = StartLeadDays + 1, orderQuantity = StartOrderQuantity;
int lastInventory = StartInventoryQuantity, lastShortage = 0;
decimal totalEnding = 0, totalShortage = 0;
for (int i = 0; i < NumberOfDays; i++)
{
SimulationCase Case = new SimulationCase();
Case.Day = i + 1;
decimal cycle = decimal.Divide(Case.Day, ReviewPeriod);
Case.Cycle = Convert.ToInt32(Math.Ceiling(cycle));
Case.DayWithinCycle = Case.Day % 5;
if (Case.DayWithinCycle == 0)
{
Case.DayWithinCycle = 5;
}
Case.BeginningInventory = lastInventory;
if (Case.Day == orderArrival)
{
Case.BeginningInventory += orderQuantity;
}
Tuple <int, int> demand = HelperFunctions.GetNumber("Demand", DemandDistribution);
Case.RandomDemand = demand.Item1;
Case.Demand = demand.Item2;
Case.EndingInventory = Case.BeginningInventory - Case.Demand;
if (Case.Day == orderArrival)
{
Case.EndingInventory -= lastShortage;
lastShortage = 0;
}
Case.ShortageQuantity = lastShortage;
if (Case.EndingInventory < 0)
{
Case.ShortageQuantity -= Case.EndingInventory;
Case.EndingInventory = 0;
}
if (Case.DayWithinCycle == 5) // Review
{
Tuple <int, int> leadDays = HelperFunctions.GetNumber("LeadDays", LeadDaysDistribution);
Case.RandomLeadDays = leadDays.Item1;
Case.LeadDays = leadDays.Item2;
Case.OrderQuantity = OrderUpTo - Case.EndingInventory + Case.ShortageQuantity;
if (Case.OrderQuantity > 0) // Place order
{
orderArrival = Case.Day + Case.LeadDays + 1;
orderQuantity = Case.OrderQuantity;
}
}
if (orderArrival >= Case.Day + 1)
{
Case.DaysUntilOrderArrives = orderArrival - (Case.Day + 1);
}
SimulationTable.Add(Case);
// Update data
lastInventory = Case.EndingInventory;
lastShortage = Case.ShortageQuantity;
totalEnding += Case.EndingInventory;
totalShortage += Case.ShortageQuantity;
}
return(new Tuple <decimal, decimal>(totalEnding, totalShortage));
}
public void StartSimulation(string filepath)
{
int maxEndtime = 0;
ReadInput(filepath);
generate_cumulative_range(InterarrivalDistribution);
for (int i = 0; i < NumberOfServers; i++)
{
generate_cumulative_range(Servers[i].TimeDistribution);
}
//first customer
SimulationTable.Add(new SimulationCase());
SimulationTable[0].CustomerNumber = 1;
SimulationTable[0].ArrivalTime = 0;
SimulationTable[0].RandomInterArrival = 1;
ServerSelection(0);
SimulationTable[0].fill_service_values();
if (maxEndtime < SimulationTable[0].EndTime)
{
maxEndtime = SimulationTable[0].EndTime;
}
if (StoppingCriteria == Enums.StoppingCriteria.NumberOfCustomers)
{
for (int i = 1; i < StoppingNumber; i++)
{
SimulationTable.Add(new SimulationCase());
SimulationTable[i].fill_arrival_values(SimulationTable[i - 1], InterarrivalDistribution);
ServerSelection(i);
SimulationTable[i].fill_service_values();
if (maxEndtime < SimulationTable[i].EndTime)
{
maxEndtime = SimulationTable[i].EndTime;
}
}
finishtime = maxEndtime;
}
else
{
int i = 0;
while (SimulationTable[i].StartTime <= StoppingNumber)//change to endtime <= if this is required
{
i++;
SimulationTable.Add(new SimulationCase());
SimulationTable[i].fill_arrival_values(SimulationTable[i - 1], InterarrivalDistribution);
ServerSelection(i);
SimulationTable[i].fill_service_values();
}
if (SimulationTable[i].StartTime <= StoppingNumber)
{
if (SimulationTable[i].TimeInQueue > 0)
{
waiting_Costumers_count.RemoveRange(SimulationTable[i].ArrivalTime, waiting_Costumers_count.Count - SimulationTable[i].ArrivalTime);
}
SimulationTable[i].AssignedServer.FinishTime -= SimulationTable[i].ServiceTime;
SimulationTable.RemoveAt(i);
}
finishtime = SimulationTable[SimulationTable.Count - 1].EndTime;
}
//servers calculation
for (int i = 0; i < NumberOfServers; i++)
{
int numofCustomersperserver = 0;
int working_time = 0;
for (int j = 0; j < SimulationTable.Count; j++)
{
if (SimulationTable[j].AssignedServer.ID == Servers[i].ID)
{
numofCustomersperserver++;
}
if ((SimulationTable[j].AssignedServerID - 1) == Servers[i].ID)
{
working_time += SimulationTable[j].ServiceTime;
}
}
Servers[i].IdleTime = finishtime - working_time;
Servers[i].IdleTime += finishtime - Servers[i].FinishTime;
Servers[i].calculate(finishtime, numofCustomersperserver);
}
calculate_total_measures();
}
public void Run(string path)
{
random = new Random();
int cycle = 1, counter_day_in_cycle = 1, days_until_order_arrives = -10, next_order = 0;
ReadFromFile(path);
CompleteDemandAndLeadDaysDistribution(DemandDistribution);
CompleteDemandAndLeadDaysDistribution(LeadDaysDistribution);
SimulationCase simulationCase;
for (int i = 0; i < NumberOfDays; ++i)
{
simulationCase = new SimulationCase();
simulationCase.Day = i + 1;
simulationCase.Cycle = cycle;
simulationCase.DayWithinCycle = counter_day_in_cycle;
if (i == 0)
{
simulationCase.BeginningInventory = StartInventoryQuantity;
}
else
{
simulationCase.BeginningInventory = SimulationTable[i - 1].EndingInventory;
}
if (i == StartLeadDays)
{
simulationCase.BeginningInventory += StartOrderQuantity;
}
if (days_until_order_arrives == -1)
{
simulationCase.BeginningInventory += next_order;
}
simulationCase.RandomDemand = random.Next(1, 100);
simulationCase.Demand = getDistributionValueByRandomNumber(DemandDistribution, simulationCase.RandomDemand);
int last_sortage = 0;
if (i > 0)
{
last_sortage = SimulationTable[i - 1].ShortageQuantity;
}
if (simulationCase.BeginningInventory >= simulationCase.Demand + last_sortage)
{
simulationCase.EndingInventory = simulationCase.BeginningInventory - (simulationCase.Demand + last_sortage);
simulationCase.ShortageQuantity = 0;
}
else
{
simulationCase.EndingInventory = 0;
simulationCase.ShortageQuantity = (simulationCase.Demand + last_sortage) - simulationCase.BeginningInventory;
}
if (ReviewPeriod == counter_day_in_cycle)
{
cycle++;
counter_day_in_cycle = 0;
simulationCase.OrderQuantity = OrderUpTo - simulationCase.EndingInventory + simulationCase.ShortageQuantity;
next_order = simulationCase.OrderQuantity;
simulationCase.RandomLeadDays = random.Next(1, 100);
simulationCase.LeadDays = getDistributionValueByRandomNumber(LeadDaysDistribution, simulationCase.RandomLeadDays);
days_until_order_arrives = simulationCase.LeadDays;
}
else
{
simulationCase.OrderQuantity = 0;
simulationCase.RandomLeadDays = 0;
simulationCase.LeadDays = 0;
}
counter_day_in_cycle++;
days_until_order_arrives--;
SimulationTable.Add(simulationCase);
}
decimal count_end = 0, count_shortage = 0;
for (int i = 0; i < SimulationTable.Count(); ++i)
{
count_end += SimulationTable[i].EndingInventory;
count_shortage += SimulationTable[i].ShortageQuantity;
}
PerformanceMeasures.EndingInventoryAverage = count_end / NumberOfDays;
PerformanceMeasures.ShortageQuantityAverage = count_shortage / NumberOfDays;
}
public void runSystem()
{
int currentQuantity = StartInventoryQuantity;
int currentShortage = 0;
int nextOrderLeadDays = StartLeadDays - 1;
int nextOrderQuantity = StartOrderQuantity;
bool flag = true;
for (int i = 0; i < NumberOfDays; ++i)
{
SimulationCase nCase = new SimulationCase();
nCase.Day = i + 1;
if (nextOrderLeadDays == 0 && flag)
{
currentQuantity += nextOrderQuantity;
nCase.BeginningInventory = currentQuantity;
currentQuantity -= currentShortage;
currentShortage = 0;
flag = false;
}
else
{
nCase.BeginningInventory = currentQuantity;
}
nCase.Cycle = nCase.Day / ReviewPeriod;
if (nCase.Day % ReviewPeriod != 0)
{
++nCase.Cycle;
}
nCase.DayWithinCycle = nCase.Day % ReviewPeriod;
if (nCase.DayWithinCycle == 0)
{
nCase.DayWithinCycle = ReviewPeriod;
}
nCase.RandomDemand = randomNumber();
for (int j = 0; j < DemandDistribution.Count; ++j)
{
if (nCase.RandomDemand >= DemandDistribution[j].MinRange && nCase.RandomDemand <= DemandDistribution[j].MaxRange)
{
nCase.Demand = DemandDistribution[j].Value;
}
}
if (nCase.Demand <= currentQuantity)
{
currentQuantity -= nCase.Demand;
}
else
{
currentShortage += nCase.Demand - currentQuantity;
currentQuantity = 0;
}
nCase.EndingInventory = currentQuantity;
nCase.ShortageQuantity = currentShortage;
if (nCase.Day % ReviewPeriod == 0)
{
nCase.OrderQuantity = (OrderUpTo - currentQuantity) + currentShortage;
nextOrderQuantity = nCase.OrderQuantity;
nCase.RandomLeadDays = randomNumber();
for (int j = 0; j < LeadDaysDistribution.Count; ++j)
{
if (nCase.RandomLeadDays >= LeadDaysDistribution[j].MinRange && nCase.RandomLeadDays <= LeadDaysDistribution[j].MaxRange)
{
nCase.LeadDays = LeadDaysDistribution[j].Value;
}
}
nextOrderLeadDays = nCase.LeadDays + 1;
flag = true;
}
else
{
nCase.OrderQuantity = nCase.RandomLeadDays = nCase.LeadDays = 0;
}
if (nextOrderLeadDays > 0 && i != 0)
{
--nextOrderLeadDays;
}
nCase.DaysUntilOrderArrives = nextOrderLeadDays;
SimulationTable.Add(nCase);
}
PerformanceMeasures.calculatePerformanceMeasures(SimulationTable);
}
///////////// 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);
}
}
//===================================================================================================================
//===============================CASE HANDLER (FOR NUMBER OF CUS OR TIME)=========================================
public void GenerateRand(SimulationSystem s)
{
int RINER, RSERVICE_T;
//=================FOR CEREATION NUMBER OF CUSTOMERS==========================
if (s.StoppingCriteria == Enums.StoppingCriteria.NumberOfCustomers)
{
for (int i = 0; i < s.StoppingNumber; i++)
{
RINER = Randomize();
SimulationTable.Add(new SimulationCase());
SimulationTable[i].RandomInterArrival = RINER;
countofcustomer++;
}
SimulationTable[0].InterArrival = 0;
for (int x = 1; x < countofcustomer; x++)
{
for (int i = 0; i < InterarrivalDistribution.Count(); i++)
{
if (SimulationTable[x].RandomInterArrival >= InterarrivalDistribution[i].MinRange && SimulationTable[x].RandomInterArrival <= InterarrivalDistribution[i].MaxRange)
{
SimulationTable[x].InterArrival = InterarrivalDistribution[i].Time;
break;
}
}
}
for (int i = 0; i < countofcustomer; i++)
{
RSERVICE_T = Randomize();
SimulationTable[i].RandomService = RSERVICE_T;
}
}
//=========================FOR CEREATION TIME============================================
else if (s.StoppingCriteria == Enums.StoppingCriteria.SimulationEndTime)
{
while (shrouk <= s.StoppingNumber)
{
RINER = Randomize();
SimulationTable.Add(new SimulationCase());
SimulationTable[countofcustomer].RandomInterArrival = RINER;
for (int i = 0; i < InterarrivalDistribution.Count(); i++)
{
if (SimulationTable[countofcustomer].RandomInterArrival >= InterarrivalDistribution[i].MinRange && SimulationTable[countofcustomer].RandomInterArrival <= InterarrivalDistribution[i].MaxRange)
{
SimulationTable[countofcustomer].InterArrival = InterarrivalDistribution[i].Time;
shrouk += SimulationTable[countofcustomer].InterArrival;
break;
}
}
if (shrouk == s.StoppingNumber)
{
countofcustomer++;
break;
}
countofcustomer++;
}
}
for (int i = 0; i < countofcustomer; i++)
{
RSERVICE_T = Randomize();
SimulationTable[i].RandomService = RSERVICE_T;
}
}
public void simulate()
{
int O_Quantity = 0;
int temp_shortage = 0;
SimulationCase temp = new SimulationCase();
temp.Day = 1;
temp.Cycle = 1;
temp.DayWithinCycle = 1;
temp.BeginningInventory = StartInventoryQuantity;
temp.demand(DemandDistribution);
temp.EndingInventory = temp.BeginningInventory - temp.Demand;
temp.Daytillarr = StartLeadDays - 1;
if (temp.EndingInventory < 0)
{
temp.ShortageQuantity = -1 * temp.EndingInventory;
temp.EndingInventory = 0;
}
SimulationTable.Add(temp);
O_Quantity = StartOrderQuantity;
temp = new SimulationCase();
SimulationTable.Add(temp);
for (int i = 1; i < NumberOfDays; i++)
{
temp_shortage = SimulationTable[i - 1].ShortageQuantity;
SimulationTable[i].Day = SimulationTable[i - 1].Day + 1;
SimulationTable[i].BeginningInventory = SimulationTable[i - 1].EndingInventory;
if (SimulationTable[i - 1].DayWithinCycle == 5)
{
SimulationTable[i].Cycle = SimulationTable[i - 1].Cycle + 1;
SimulationTable[i].DayWithinCycle = 1;
}
else
{
SimulationTable[i].Cycle = SimulationTable[i - 1].Cycle;
SimulationTable[i].DayWithinCycle = SimulationTable[i - 1].DayWithinCycle + 1;
}
SimulationTable[i].demand(DemandDistribution);
SimulationTable[i].EndingInventory = SimulationTable[i].BeginningInventory - SimulationTable[i].Demand;
if (SimulationTable[i - 1].Daytillarr > 0)
{
SimulationTable[i].Daytillarr = SimulationTable[i - 1].Daytillarr - 1;
}
else
{
if (SimulationTable[i - 1].Daytillarr == 0 && SimulationTable[i - 2].Daytillarr == 1)
{
SimulationTable[i].BeginningInventory += O_Quantity;
SimulationTable[i].demand(DemandDistribution);
SimulationTable[i].EndingInventory = SimulationTable[i].BeginningInventory - SimulationTable[i].Demand - SimulationTable[i - 1].ShortageQuantity;
temp_shortage = 0;
}
}
if (SimulationTable[i].EndingInventory < 0)
{
SimulationTable[i].ShortageQuantity = -1 * SimulationTable[i].EndingInventory + temp_shortage;
SimulationTable[i].EndingInventory = 0;
}
else if (SimulationTable[i].EndingInventory == 0)
{
SimulationTable[i].ShortageQuantity = SimulationTable[i - 1].ShortageQuantity;
}
if (SimulationTable[i].DayWithinCycle == ReviewPeriod)
{
SimulationTable[i].order(LeadDaysDistribution, OrderUpTo);
O_Quantity = SimulationTable[i].OrderQuantity;
}
if (i != NumberOfDays - 1)
{
temp = new SimulationCase();
SimulationTable.Add(temp);
}
}
}
public void Simulate()
{
int CurrentCustomer = 1;
SimulationCase OldCase = new SimulationCase();
Random random = new Random();
Random ServiceRandom = new Random();
Random ServerRandom = new Random();
OldCase.ArrivalTime = 0;
OldCase.InterArrival = 0;
OldCase.EndTime = 0;
bool cond = true;
while (CurrentCustomer <= StoppingNumber)
{
//Our Main code!
if (StoppingCriteria == (MultiQueueModels.Enums.StoppingCriteria.NumberOfCustomers))
{
cond = (CurrentCustomer <= StoppingNumber);
}
else
{
cond = (OldCase.EndTime <= StoppingNumber);
}
SimulationCase NewCase = new SimulationCase();
NewCase.CustomerNumber = CurrentCustomer;
NewCase.RandomInterArrival = random.Next(1, 101);
NewCase.InterArrival = GetWithinRange(InterarrivalDistribution, NewCase.RandomInterArrival);
if (CurrentCustomer == 1)
{
NewCase.ArrivalTime = OldCase.ArrivalTime;
}
else
{
NewCase.ArrivalTime = OldCase.ArrivalTime + NewCase.InterArrival;
}
//Server
int ServerIndex = 0;
if (CheckIdle(NewCase.ArrivalTime))
{
NewCase.TimeInQueue = 0;
if (SelectionMethod == Enums.SelectionMethod.HighestPriority)
{
for (int i = 0; i < Servers.Count; i++)
{
if (Servers[i].LastFinishTime <= NewCase.ArrivalTime)
{
NewCase.AssignedServer = Servers[i];
ServerIndex = i;
break;
}
}
}
else if (SelectionMethod == Enums.SelectionMethod.Random)
{
int RandomServer = ServerRandom.Next(0, AvailableList.Count);
NewCase.AssignedServer = AvailableList[RandomServer];
ServerIndex = AvailableList[RandomServer].ID - 1;
}
NewCase.ServerIndex = ServerIndex + 1;
if (NewCase.AssignedServer.LastFinishTime > NewCase.ArrivalTime)
{
NewCase.StartTime = NewCase.AssignedServer.LastFinishTime;
}
else
{
NewCase.StartTime = NewCase.ArrivalTime;
}
NewCase.RandomService = ServiceRandom.Next(1, 101);
if (NewCase.RandomService == 0)
{
NewCase.RandomService = 1;
}
NewCase.ServiceTime = GetWithinRange(NewCase.AssignedServer.TimeDistribution, NewCase.RandomService);
NewCase.EndTime = NewCase.StartTime + NewCase.ServiceTime;
Servers[ServerIndex].LastFinishTime = NewCase.EndTime;
}
else
{
//Time in queue
ServerIndex = GetFirstFinishServer();
NewCase.AssignedServer = Servers[ServerIndex];
NewCase.StartTime = NewCase.AssignedServer.LastFinishTime;
NewCase.TimeInQueue = NewCase.StartTime - NewCase.ArrivalTime;
NewCase.RandomService = ServiceRandom.Next(1, 101);
NewCase.ServiceTime = GetWithinRange(NewCase.AssignedServer.TimeDistribution, NewCase.RandomService);
NewCase.EndTime = NewCase.StartTime + NewCase.ServiceTime;
NewCase.ServerIndex = ServerIndex + 1;
Servers[ServerIndex].LastFinishTime = NewCase.EndTime;
}
SimulationTable.Add(NewCase);
OldCase = NewCase;
CurrentCustomer++;
}
//Don't forget PerformanceMeasures
PerformanceMeasures.CalcServerPerformance(this);
PerformanceMeasures.CalcSysPerformance(this);
//System.PerformanceMeasures
MessageBox.Show("End of Simulation");
}
public void fillSimulationTable()
{
total_serv_time = new Decimal[Servers.Count + 1];
customers_in_serv = new Decimal[Servers.Count + 1];
total_run_time = -1;
int customerID = 1;
while (true)
{
if (StoppingCriteria == Enums.StoppingCriteria.NumberOfCustomers)
{
if (customerID > StoppingNumber)
{
break;
}
}
SimulationCase currentCustomer = new SimulationCase();
currentCustomer.CustomerNumber = customerID;
currentCustomer.generateRandomDigits();
if (customerID != 1)
{
currentCustomer.setInterArrivalTime(InterarrivalDistribution);
}
if (customerID == 1)
{
currentCustomer.ArrivalTime = 0;
}
else
{
currentCustomer.setArrivalTime(SimulationTable[customerID - 2].ArrivalTime);
}
if (StoppingCriteria == Enums.StoppingCriteria.SimulationEndTime)
{
if (currentCustomer.ArrivalTime > StoppingNumber)
{
break;
}
}
List <Tuple <int, int> > IdleServers = new List <Tuple <int, int> >();
for (int i = 0; i < NumberOfServers; ++i)
{
IdleServers.Add(new Tuple <int, int>(Servers[i].busyTill, i));
}
IdleServers = IdleServers.OrderBy(t => t.Item1).ToList();
List <Tuple <int, int> > IdleEqualServers = new List <Tuple <int, int> >();
IdleEqualServers.Add(IdleServers[0]);
for (int i = 1; i < IdleServers.Count; ++i)
{
if (IdleServers[i].Item1 == IdleServers[0].Item1 || IdleServers[i].Item1 <= currentCustomer.ArrivalTime)
{
IdleEqualServers.Add(IdleServers[i]);
}
}
if (IdleEqualServers.Count == 1)
{
int serverIndex = IdleEqualServers[0].Item2;
currentCustomer.fillRemainingInfo(Servers[serverIndex]);
Servers[serverIndex].updateServer(currentCustomer);
total_serv_time[currentCustomer.AssignedServer.ID] += currentCustomer.ServiceTime;
customers_in_serv[currentCustomer.AssignedServer.ID]++;
total_run_time = Math.Max(total_run_time, currentCustomer.EndTime);
}
else
{
List <int> freeServerIndexes = new List <int>();
int highestServerIndex = 1000;
if (SelectionMethod == Enums.SelectionMethod.HighestPriority)
{
for (int i = 0; i < IdleEqualServers.Count; ++i)
{
freeServerIndexes.Add(IdleEqualServers[i].Item2);
if (IdleEqualServers[i].Item2 < highestServerIndex)
{
highestServerIndex = IdleEqualServers[i].Item2;
}
}
int serverIndex = highestServerIndex;
currentCustomer.fillRemainingInfo(Servers[serverIndex]);
Servers[serverIndex].updateServer(currentCustomer);
total_serv_time[currentCustomer.AssignedServer.ID] += currentCustomer.ServiceTime;
customers_in_serv[currentCustomer.AssignedServer.ID]++;
total_run_time = Math.Max(total_run_time, currentCustomer.EndTime);
}
else if (SelectionMethod == Enums.SelectionMethod.Random)
{
int selectedServer = new Random().Next(0, IdleEqualServers.Count - 1);
int serverIndex = IdleEqualServers[selectedServer].Item2;
currentCustomer.fillRemainingInfo(Servers[serverIndex]);
Servers[serverIndex].updateServer(currentCustomer);
total_serv_time[currentCustomer.AssignedServer.ID] += currentCustomer.ServiceTime;
customers_in_serv[currentCustomer.AssignedServer.ID]++;
total_run_time = Math.Max(total_run_time, currentCustomer.EndTime);
}
else if (SelectionMethod == Enums.SelectionMethod.LeastUtilization)
{
///to get newest run time
new_updates_inserv();
int min_index = 0;
decimal min_utilization = 100000;
for (int i = 0; i < IdleEqualServers.Count; ++i)
{
int serv_ind = IdleEqualServers[i].Item2;
decimal val = decimal.Compare(Servers[serv_ind].Utilization, min_utilization);
if (Convert.ToInt32(val) < 0)
{
min_index = serv_ind;
min_utilization = Servers[serv_ind].Utilization;
}
else if (Convert.ToInt32(val) == 0)
{
if (Servers[serv_ind].ID < Servers[min_index].ID)
{
min_index = serv_ind;
}
min_utilization = Servers[serv_ind].Utilization;
}
}
currentCustomer.fillRemainingInfo(Servers[min_index]);
Servers[min_index].updateServer(currentCustomer);
total_serv_time[currentCustomer.AssignedServer.ID] += currentCustomer.ServiceTime;
customers_in_serv[currentCustomer.AssignedServer.ID]++;
total_run_time = Math.Max(total_run_time, currentCustomer.EndTime);
}
}
++customerID;
SimulationTable.Add(currentCustomer);
}
numberofCustomers = customerID - 1;
}