private Double getWeight1(long age) {
// Weight that will be used when status_cd = ACTIVE
if (age <= 0) {
return SystemDao.getDefaultWeight();
}
return Math.max(0.2, 1.0 / age);
}
private void performDailyLearning() {
updateStatusCode();
if (statusCd != STATUS_CD.LEARNING || disableLearning == true) {
return;
}
if (onRange && (rcBopInv > 0 || hasSale == true || rcInvIn > 0)) {
initLearningMetrics();
// Daily learning only applies to RC_AVG_DEMAND and begins immediately when the PL comes on
// range
double lastWeekLift = getDemandUplift(SystemDao.getReviewCycleStartDate());
double defaultWeight = SystemDao.getDefaultWeight();
Demand beginOfRunCycleDemand = getDemand(SystemDao.getReviewCycleStartDate());
double beginOfRunCycleRcAvgDemand = 0;
if (beginOfRunCycleDemand != null) {
beginOfRunCycleRcAvgDemand = beginOfRunCycleDemand.getRcAvgDemand();
}
if (onRange && !disableLearning) {
rcAvgDemand =
getWeightedWeight1(learningWeekCounter, defaultWeight) * rcDemand / lastWeekLift
+ (1 - getWeightedWeight1(learningWeekCounter, defaultWeight))
* beginOfRunCycleRcAvgDemand;
}
}
}
private void initLearningMetrics() {
if (learningMetricsInitialized) {
return;
}
double defaultWeight = SystemDao.getDefaultWeight();
double lastWeekLift = getDemandUplift(SystemDao.getReviewCycleStartDate());
Sales beginOfRunCycleSales = getSales(SystemDao.getReviewCycleStartDate());
double beginOfRunCycleRcAvgSales = 0;
if (beginOfRunCycleSales != null) {
beginOfRunCycleRcAvgSales = beginOfRunCycleSales.getRcAvgSales();
}
rcAvgSales =
getWeightedWeight1(learningWeekCounter, defaultWeight) * epSales / lastWeekLift
+ (1 - getWeightedWeight1(learningWeekCounter, defaultWeight))
* beginOfRunCycleRcAvgSales;
// Tim's documentation states:
// Its important sales metrics are initialized to AVG_WEEKLY_SALES based on the initialization
// logic.
// This estimates initial values based on different combinations of the PLs product and location
// hierarchies dependent on the specific situation for that PL
rcAvgSalesActual = rcAvgSales;
rcAvgDemand = rcAvgSales;
rcOldAvgDemand = rcAvgSales;
rcAvgDemandActual = rcAvgSales;
epAvgInv = rcAvgSales;
rcWass2 = Math.pow(rcAvgSales, 2);
learningMetricsInitialized = true;
}
private void processWeeklyMetrics() {
// On the end of the review cycle (Sat night) the rcAvgDemand does not undergo weekly learning
// For this exercise we do not have time granulity so weekly processing is done Sunday for the
// prior week
LocalDate crc = SystemDao.getCrc();
LocalDate prevCRCStartDate = SystemDao.getReviewCycleStartDate(); // getPreviousCRCStartDate();
Sales salesData = getSales(crc);
Sales beginOfPeriodSalesData = getSales(prevCRCStartDate);
double beginOfPeriodRcAvgSales = 0;
double beginOfPeriodRcActualAvgSales = 0;
if (beginOfPeriodSalesData != null) {
beginOfPeriodRcAvgSales = beginOfPeriodSalesData.getRcAvgSales();
beginOfPeriodRcActualAvgSales = beginOfPeriodSalesData.getRcAvgSalesActual();
}
Demand demandData = getDemand(crc);
Demand beginOfPeriodDemandData = getDemand(prevCRCStartDate);
double beginOfPeriodRcAvgDemand = 0;
double beginOfPeriodRcAvgActualDemand = 0;
if (beginOfPeriodDemandData != null) {
beginOfPeriodRcAvgDemand = beginOfPeriodDemandData.getRcAvgDemand();
beginOfPeriodRcAvgActualDemand = beginOfPeriodDemandData.getRcAvgDemandActual();
}
double defaultWeight = SystemDao.getDefaultWeight();
double lastWeekLift = getDemandUplift(prevCRCStartDate);
double weight = 1.0;
if (statusCd == STATUS_CD.LEARNING) {
weight = getWeightedWeight1(learningWeekCounter, defaultWeight);
} else if (statusCd == STATUS_CD.ACTIVE) {
weight = getWeight1(learningWeekCounter);
}
rcAvgSalesActual =
(weight * (salesData.getRcSalesActual() / lastWeekLift))
+ ((1 - weight) * beginOfPeriodRcActualAvgSales);
rcAvgSales =
(weight * (salesData.getRcSales() / lastWeekLift))
+ ((1 - weight) * beginOfPeriodRcAvgSales);
rcAvgDemand =
(weight * (demandData.getRcDemand() / lastWeekLift))
+ ((1 - weight) * beginOfPeriodRcAvgDemand);
rcAvgDemandActual =
(weight * (demandData.getRcDemandActual() / lastWeekLift))
+ ((1 - weight) * beginOfPeriodRcAvgActualDemand);
// error checking
if (rcAvgDemand == 0 && statusCd != STATUS_CD.INACTIVE) {
System.out.println("Error: 0 demand when product status is not inactive");
}
if (rcAvgDemand >= 4 * rcAvgSales) {
rcAvgSales = 4 * rcAvgSalesActual;
System.out.println("Error: RC Actual Sales greater then 4 times RC Average Sales");
}
if (rcAvgDemand >= 3 * rcAvgSalesActual) {
rcAvgSales = 3 * rcAvgSalesActual;
System.out.println("Error: RC Actual Sales greater then 3 times RC Actual Average Sales");
}
storeWeeklyMetrics(crc);
this.learningWeekCounter++;
// this is the end of the review cycle reset hasBeenOffRange
if (hasBeenOffRange) {
hasBeenOffRange = false;
}
resetRcAccumulators();
}