/// <summary>
/// Assuming the firm implements decision DECF0, this method computes
/// reported costs for this cost system, which are used to compute the firm's updated decision.
/// It iterates using the updated decision as the new starting decision until a terminal outcome
/// (e.g. equilibrium, cycle) is reached.
/// </summary>
/// <param name="ip">The current InputParameters object</param>
/// <param name="DECF0">The starting decision.</param>
/// <returns>Returns the outcome of iterations and the final decision.</returns>
public (CostSystemOutcomes stopCode, RowVector DECF1) EquilibriumCheck(InputParameters ip, RowVector DECF0)
{
#region Make local copies of firm-level variables
ColumnVector MXQ = this.firm.MXQ;
RowVector SP = this.firm.SP;
#endregion
// The initial vector of production quantities, given
// starting decision DECF0
ColumnVector q0 = MXQ.ewMultiply(DECF0);
// A list of past decisions made during the iteration process.
// If a decision appears twice on this list, then a cycle exists.
List <RowVector> pastDecisions = new List <RowVector> {
DECF0
};
// The "next" decision that the firm would make. Assume the firm
// starts with DECF0, computes resulting resource consumption,
// and reported costs (through the cost system). Given reported
// costs, it updates its decision to DECF1.
RowVector DECF1;
bool foundThisDecisionBefore;
double MAR_DROP = 1.0 - ip.HYSTERESIS;
double MAR_MAKE = 1.0 + ip.HYSTERESIS;
CostSystemOutcomes stopCode = CostSystemOutcomes.Unassigned;
bool done;
do
{
RowVector PC_R = CalcReportedCosts(ip, DECF0);
if (PC_R.Contains(double.NaN))
{
DECF1 = PC_R.Map(x => double.NaN);
}
else
{
double[] MAR = PC_R.Zip(SP, (pc_r, sp) => sp / pc_r).ToArray();
var decf1 = MAR.Zip(q0, (mar, q) =>
(q > 0.0) ? ((mar <= MAR_DROP) ? 0.0 : 1.0) : ((mar > MAR_MAKE) ? 1.0 : 0.0));
DECF1 = new RowVector(decf1.ToList());
}
ColumnVector q1 = MXQ.ewMultiply(DECF1);
if (!(foundThisDecisionBefore = pastDecisions.Contains(DECF1)))
{
pastDecisions.Add(DECF1);
}
//double ExpectedCosts = PC_R * q1;
//double TCF0 = this.firm.CalcTotCosts(q1);
done = true;
//if (q1 == q0) {
if (DECF1 == DECF0)
{
stopCode = CostSystemOutcomes.Equilibrium;
}
else if (q1.TrueForAll(qty => qty == 0.0))
{
stopCode = CostSystemOutcomes.ZeroMix;
}
else if (foundThisDecisionBefore)
{
stopCode = CostSystemOutcomes.Cycle;
}
else if (DECF1.Contains(double.NaN))
{
stopCode = CostSystemOutcomes.NaN;
}
else
{
done = false;
}
if (!done)
{
DECF0 = DECF1;
q0 = q1;
}
} while (!done);
return(stopCode, DECF1);
}
static void Main(string[] args)
{
#region Console header
DrawASCIIart();
#endregion
#region Read input file and create InputParameters object
FileInfo inputFile = new FileInfo(Environment.CurrentDirectory + @"\input.txt");
if (!inputFile.Exists)
{
Console.WriteLine("Could not find input file: \n{0}", inputFile.FullName);
Console.WriteLine("Aborting. Press ENTER to end the program.");
Console.ReadLine();
return;
}
InputParameters ip = new InputParameters(inputFile);
#endregion
#region Make a copy of the input file
// We found it helpful to make a copy of the input file every time we ran the
// simulation. We stamp the copy's filename with the date and time so that
// we know which results files correspond to which input file.
DateTime dt = DateTime.Now;
string inputFileCopyName =
String.Format(
"input {0:D2}-{1:D2}-{2:D4} {3:D2}h {4:D2}m {5:D2}s, seed {6:G}.txt",
dt.Month,
dt.Day,
dt.Year,
dt.Hour,
dt.Minute,
dt.Second,
GenRandNumbers.GetSeed()
);
FileInfo inputFileCopy = new FileInfo(Environment.CurrentDirectory + @"\" + inputFileCopyName);
inputFile.CopyTo(inputFileCopy.FullName, true);
File.SetCreationTime(inputFileCopy.FullName, dt);
File.SetLastWriteTime(inputFileCopy.FullName, dt);
#endregion
#region Create output files
Output.CreateOutputFiles(ip);
#endregion
#region Generate Sample of Firms and their Cost Systems
Firm[] sampleFirms = new Firm[ip.NUM_FIRMS];
for (int firmID = 1; firmID <= ip.NUM_FIRMS; ++firmID)
{
Console.WriteLine(
"Starting firm {0:D3} of {1}",
firmID + 1, sampleFirms.Length
);
Firm f = new Firm(ip, firmID);
sampleFirms[firmID - 1] = f;
for (int a_indx = 0; a_indx < ip.ACP.Count; ++a_indx)
{
int a = ip.ACP[a_indx];
for (int p_indx = 0; p_indx < ip.PACP.Count; ++p_indx)
{
int p = ip.PACP[p_indx];
for (int r_indx = 0; r_indx < ip.PDR.Count; ++r_indx)
{
int r = ip.PDR[r_indx];
// Create a cost system
CostSys costsys = new CostSys(ip, f, a, p, r);
f.costSystems.Add(costsys);
int costSysID = f.costSystems.Count;
Output.LogCostSys(costsys, firmID, costSysID);
// Generate a starting decision for the cost system.
RowVector startingDecision;
if (ip.STARTMIX == 0)
{
startingDecision = f.CalcOptimalDecision();
}
else
{
var ones = Enumerable.Repeat(1.0, ip.CO).ToList();
startingDecision = new RowVector(ones);
for (int i = 0; i < startingDecision.Dimension; ++i)
{
if (GenRandNumbers.GenUniformDbl() < ip.EXCLUDE)
{
startingDecision[i] = 0.0;
}
}
}
/* Examine error in cost from implementing this decision.
* Assume the firm implements the decision startingDecision. Upon
* doing so, it will observe total resource consumption. It will then
* allocate resources to cost pools, as per the B parameter of the cost
* system, choose drivers as per the D parameter of the cost system,
* and then allocate resources to cost objects and compute reported costs.
* The reported costs are returned as PC_R. The difference
* between these and the true benchmark costs (PC_B) is used to compute
* the mean percent error in costs.
*/
RowVector PC_R = costsys.CalcReportedCosts(ip, startingDecision);
RowVector PC_B = f.CalcTrueProductCosts();
double MPE = PC_B.Zip(PC_R, (pc_b, pc_r) => Math.Abs(pc_b - pc_r) / pc_b).Sum() / PC_B.Dimension;
Output.LogCostSysError(costsys, firmID, costSysID, startingDecision, PC_B, PC_R, MPE);
/* Assume the firm implements the decision startingDecision. Upon
* doing so, it will observe total resource consumption. It will then
* allocate resources to cost pools, as per the B parameter of the cost
* system, choose drivers as per the D parameter of the cost system,
* and then allocate resources to cost objects and compute reported costs.
* The reported costs are returned as PC_R. Upon observing the
* reported costs, the firm may wish to update its original decision. When
* it implements the updated decision, costs will change again. The outcome
* of this process will either be an equilibrium decision (fixed point), or
* a cycle of decisions.
*/
(CostSystemOutcomes stopCode, RowVector endingDecision) = costsys.EquilibriumCheck(ip, startingDecision);
Output.LogCostSysLoop(costsys, firmID, costSysID, startingDecision, endingDecision, stopCode);
}
}
}
}
#endregion
Console.WriteLine("Writing output files...");
Output.WriteOutput();
Console.WriteLine("Done!");
}
