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 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 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 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);
}
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 Run()
{
Random DemandRandom = new Random();
Random LeadDaysRandom = new Random();
int cycle = 1;
int day_in_cycle = 1;
int total_shortage = 0;
int pre_end = mysys.StartInventoryQuantity;
int[] orders = new int[mysys.NumberOfDays + 100];
decimal total_ending = 0;
decimal final_total_shortage = 0;
orders[mysys.StartLeadDays + 1] = mysys.StartOrderQuantity;
for (int day = 1; day <= mysys.NumberOfDays; day++)
{
SimulationCase one = new SimulationCase();
one.Day = day;
one.Cycle = cycle;
one.DayWithinCycle = day_in_cycle;
one.BeginningInventory = pre_end + orders[day];
one.RandomDemand = DemandRandom.Next(1, 100);
one.Demand = get_val(one.RandomDemand, mysys.DemandDistribution);
if (one.Demand > one.BeginningInventory)
{
one.EndingInventory = 0;
one.ShortageQuantity = one.Demand - one.BeginningInventory + total_shortage;
total_shortage = one.ShortageQuantity;
}
else
{
one.EndingInventory = one.BeginningInventory - one.Demand;
one.ShortageQuantity = total_shortage;
}
if (day % mysys.ReviewPeriod == 0)
{
if (one.EndingInventory < mysys.OrderUpTo)
{
one.RandomLeadDays = LeadDaysRandom.Next(1, 100);
one.LeadDays = get_val(one.RandomLeadDays, mysys.LeadDaysDistribution);
one.OrderQuantity = mysys.OrderUpTo - one.EndingInventory + total_shortage;
orders[day + one.LeadDays + 1] = one.OrderQuantity;
}
else
{
one.RandomLeadDays = 0;
one.LeadDays = 0;
one.OrderQuantity = 0;
}
cycle++;
day_in_cycle = 1;
}
else
{
one.RandomLeadDays = 0;
one.LeadDays = 0;
one.OrderQuantity = 0;
day_in_cycle++;
}
if (orders[day] != 0)
{
if (one.EndingInventory >= total_shortage)
{
one.EndingInventory -= total_shortage;
total_shortage = 0;
one.ShortageQuantity = 0;
}
else
{
total_shortage -= one.EndingInventory;
one.ShortageQuantity = total_shortage;
one.EndingInventory = 0;
}
}
mysys.SimulationCases.Add(one);
total_ending += one.EndingInventory;
final_total_shortage += one.ShortageQuantity;
pre_end = one.EndingInventory;
}
decimal n = mysys.SimulationCases.Count();
mysys.PerformanceMeasures.EndingInventoryAverage = total_ending / n;
mysys.PerformanceMeasures.ShortageQuantityAverage = final_total_shortage / n;
}
public List <SimulationCase> get_table()
{
List <SimulationCase> ret = new List <SimulationCase>();
int cycle = 1, start_up = system.StartLeadDays + 1, inv_begin = system.StartInventoryQuantity, start_order = system.StartOrderQuantity, rand = 0;
int sh = 0, demand = 0;
Random R = new Random();
Dictionary <int, int> up_day = new Dictionary <int, int>();
for (int i = 0; i < system.NumberOfDays; i++)
{
SimulationCase cs = new SimulationCase();
cs.Day = i + 1;
cs.Cycle = cycle;
cs.DayWithinCycle = (i + 1) % system.ReviewPeriod;
if (cs.DayWithinCycle == 0)
{
cs.DayWithinCycle = system.ReviewPeriod;
cycle++;
}
cs.BeginningInventory = inv_begin;
if (i + 1 == start_up)
{
cs.BeginningInventory += start_order;
}
try
{
cs.BeginningInventory += up_day[i + 1];
}
catch (Exception q)
{
cs.BeginningInventory += 0;
}
rand = R.Next(1, 101);
cs.RandomDemand = rand;
for (int j = 0; j < system.DemandDistribution.Count; j++)
{
if (system.DemandDistribution[j].MinRange <= rand && system.DemandDistribution[j].MaxRange >= rand)
{
cs.Demand = system.DemandDistribution[j].Value;
demand = system.DemandDistribution[j].Value;
break;
}
}
demand += sh;
cs.EndingInventory = Math.Max(0, cs.BeginningInventory - demand);
if (cs.BeginningInventory >= demand)
{
cs.ShortageQuantity = 0;
}
else
{
cs.ShortageQuantity = demand - cs.BeginningInventory;
}
if (cs.DayWithinCycle == system.ReviewPeriod)
{
cs.OrderQuantity = system.OrderUpTo - cs.EndingInventory + cs.ShortageQuantity;
cs.RandomLeadDays = R.Next(1, 101);
for (int j = 0; j < system.LeadDaysDistribution.Count; j++)
{
if (system.LeadDaysDistribution[j].MinRange <= cs.RandomLeadDays && system.LeadDaysDistribution[j].MaxRange >= cs.RandomLeadDays)
{
cs.LeadDays = system.LeadDaysDistribution[j].Value;
break;
}
}
try
{
up_day[(i + 1) + cs.LeadDays + 1] += cs.OrderQuantity;
}
catch (Exception qq)
{
up_day[(i + 1) + cs.LeadDays + 1] = cs.OrderQuantity;
}
}
else
{
cs.OrderQuantity = 0;
cs.RandomLeadDays = 0;
cs.LeadDays = 0;
}
sh = cs.ShortageQuantity;
inv_begin = cs.EndingInventory;
tot_end += cs.EndingInventory;
tot_shortage += cs.ShortageQuantity;
ret.Add(cs);
}
return(ret);
}
