private void processInventory() {
LocalDate crc = SystemDao.getCrc();
if (isStockedOut) {
Demand d = getDemand(SystemDao.getCrc());
if (crc.getDayOfWeek() == DateTimeConstants.SUNDAY) {
d = getDemand(SystemDao.getReviewCycleStartDate());
}
int targetInv = (int) d.getRcAvgDemand() - inventory;
setInventory(targetInv > 0 ? targetInv : (int) d.getRcAvgDemand());
isStockedOut = false;
}
if (crc.getDayOfWeek() == DateTimeConstants.SUNDAY) {
rcBopInv = inventory;
}
// daily inventory updates
updateEpEopInv();
epEopInv = inventory;
rcInvOut += epInvOut;
rcInvIn += epInvIn;
ProductInventory p = getInventory(SystemDao.getReviewCycleStartDate());
double beginOfPeriodEpAvgInv = 0;
if (p != null) {
beginOfPeriodEpAvgInv = p.getEpAvgInv();
}
double weight_5 = SystemDao.getWeight_5();
epAvgInv =
weight_5 * ((epEopInv >= 0) ? epEopInv : 0) + (((1 - weight_5) * beginOfPeriodEpAvgInv));
epAvgInv = Math.max(0, epAvgInv);
}
public void setFirstSalesDate(LocalDate firstSalesDate) {
if (firstSalesDate == null && epSalesActual > 0) {
this.firstSalesDate = SystemDao.getCrc();
} else {
this.firstSalesDate = firstSalesDate;
}
}
// Hook: WeeklyLearningSummationHook.java
public void performWeeklyMetricsProcessing(String locationId) {
System.out.println(
"Starting the Weekly Metrics Processing for product/location: " + locationId);
if (SystemDao.getCrc().getDayOfWeek() == DateTimeConstants.SUNDAY) {
processWeeklyMetrics();
}
}
public void setFirstReceiptDate(LocalDate firstReceiptDate) {
if (this.firstReceiptDate == null && epEopInv > 0 || rcInvIn > 0) {
this.firstReceiptDate = SystemDao.getCrc();
} else if (this.firstReceiptDate == null && firstSalesDate != null) {
this.firstReceiptDate = firstSalesDate;
}
this.firstReceiptDate = firstReceiptDate;
}
public void setDisableLearning(Boolean disableLearning) {
// Learning can only be turned on on a SUNDAY
if (disableLearning) {
if (SystemDao.getCrc().plusDays(1).getDayOfWeek() == DateTimeConstants.SUNDAY)
this.disableLearning = disableLearning;
} else {
this.disableLearning = disableLearning;
}
}
public void updateStatusCode() {
switch (this.statusCd) {
case NEW:
if (this.statusCd == STATUS_CD.NEW
&& !firstReceiptDate.isAfter(SystemDao.getCrc())
&& !storeOpenDate.isAfter(SystemDao.getCrc())) {
this.statusCd = STATUS_CD.LEARNING;
}
break;
case LEARNING:
// provided there have been no non-demand events or events that lasted most of the week and
// the PL has been on
// range the entire time, the PL is moved to status_cd = ACTIVE after the 3rd full week.
if (!hasBeenOffRange && learningWeekCounter > 3) {
statusCd = STATUS_CD.ACTIVE;
}
break;
case INACTIVE:
// item only goes inactive during integration, when PL drops from the file
}
}
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();
}
/** Outlier filtering has been done prior to processing daily metrics * */
private void processDailyMetrics() {
LocalDate crc = SystemDao.getCrc();
double lostSales = getLostSales();
rcSalesActual = rcSalesActual + epSalesActual;
// rcSales is outlier filtered sales and has been calculated in outlier processing
rcSales = rcSales + epSales;
Years yr = Years.years(crc.getYear());
Map<LocalDate, Sales> currSalesMap = salesMap.get(yr);
if (currSalesMap == null) {
currSalesMap = new TreeMap<LocalDate, Sales>();
}
Sales s = currSalesMap.get(crc);
if (s == null) {
s = new Sales();
}
s.setEpSalesActual(epSalesActual);
s.setEpSales(epSales);
s.setRcSales(rcSales);
s.setRcSalesActual(rcSalesActual);
s.setLostSales(lostSales);
currSalesMap.put(crc, s);
salesMap.put(yr, currSalesMap);
/** * Daily Demand Calculations **** */
// daily demand
epDemand = getEpDemand();
// demand = sales + lostsales
// outlier filtered sales used for rcDemand
rcDemand = rcSales + lostSales;
rcDemandActual += (epSalesActual + lostSales);
Map<LocalDate, Demand> currDemandMap = demandMap.get(yr);
if (currDemandMap == null) {
currDemandMap = new TreeMap<LocalDate, Demand>();
}
Demand d = currDemandMap.get(crc);
if (d == null) {
d = new Demand();
}
d.setEpDemand(epDemand);
d.setRcDemand(rcDemand);
d.setRcDemandActual(rcDemandActual);
currDemandMap.put(crc, d);
demandMap.put(yr, currDemandMap);
/** **** Daily Inventory Calculations ****** */
processInventory();
if (epSales > rcMaxSales) {
rcMaxSales = epSales;
weekSinceMaxSales = 0;
}
if (epEopInv > demoStock) {
daysSinceWalk = daysSinceWalk + 1;
} else {
daysSinceWalk = 0;
}
if (epSalesActual == 0) {
daysSinceSale = daysSinceSale + 1;
} else {
daysSinceSale = 0;
}
Map<LocalDate, ProductInventory> currInventoryMap = inventoryMap.get(yr);
if (currInventoryMap == null) {
currInventoryMap = new TreeMap<LocalDate, ProductInventory>();
}
ProductInventory inv = currInventoryMap.get(crc);
if (inv == null) {
inv = new ProductInventory();
}
inv.setEpAvgInv(epAvgInv);
inv.setEpEopInv(epEopInv);
inv.setEpInvOut(epInvOut);
inv.setEpInvIn(epInvIn);
inv.setRcBopInv(rcBopInv);
inv.setRcBopInv(rcBopInv);
inv.setRcInvIn(rcInvIn);
inv.setRcInvOut(rcInvOut);
inv.setInventory(inventory);
currInventoryMap.put(crc, inv);
inventoryMap.put(yr, currInventoryMap);
if (statusCd == STATUS_CD.LEARNING) {
performDailyLearning();
}
resetEpAccumulators();
}