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Commit 18808dc2 authored by DESKTOP-VKRD9QF\Administration's avatar DESKTOP-VKRD9QF\Administration
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Merge origin/master and preserve KPI output changes

parents a61e73b3 9e6f7171
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Showing with 228 additions and 138 deletions
src/main/java/com/aps/controller/MacroPlannerResultController.java
View file @ 18808dc2
......@@ -165,12 +165,30 @@ public class MacroPlannerResultController {
.skip((long)(pageNumber-1)*pageSize)
.limit(pageSize)
.collect(Collectors.toList());
if(SalesDemandSummaries!=null&&SalesDemandSummaries.size()>0)
{
List<String> SalesDemandids=SalesDemandSummaries.stream()
.map(SalesDemandResult::getSalesDemandId)
.collect(Collectors.toList());
List<RiskItem> Risks= getSalesDemandReason(sceneId,SalesDemandids);
if(Risks!=null&&Risks.size()>0) {
for (SalesDemandResult entry : SalesDemandSummaries) {
List<RiskItem> Risks1= Risks.stream()
.filter(t->t.getSalesDemandId().equals(entry.getSalesDemandId())&&t.getType()==1)
.collect(Collectors.toList());
entry.setUnmetReasons(Risks1);
List<RiskItem> Risks2= Risks.stream()
.filter(t->t.getSalesDemandId().equals(entry.getSalesDemandId())&&t.getType()==2)
.collect(Collectors.toList());
entry.setRisks(Risks2);
}
}
}
// List<Map<String, Object>> summaries = new ArrayList<>();
// for (SalesDemandResult entry : SalesDemandSummaries) {
//
// }
double totalDemand = lists.stream().mapToDouble(SalesDemandResult::getDemandQty).sum();
double totalFulfilled = lists.stream().mapToDouble(SalesDemandResult::getFulfilledQty).sum();
......@@ -188,32 +206,19 @@ public class MacroPlannerResultController {
return null;
}
}
private List<SalesDemandResult> getSalesDemandsResult(String sceneId,String salesDemandId) {
private List<RiskItem> getSalesDemandReason(String sceneId,List<String> salesDemandIds) {
try {
FlatParquetUtil parquetUtil = new FlatParquetUtil();
ResultWriter rw = new ResultWriter();
List<FlatParquetUtil.FilterCondition<?>> filters = new ArrayList<>();
filters.add(FlatParquetUtil.FilterCondition.eq("salesDemandId", salesDemandId));
List<FlatParquetUtil.SortCondition> sorts = Arrays.asList(
FlatParquetUtil.SortCondition.asc("periodIndex")
String salesDemandReasonPath = rw.getOptimizationSalesDemandReasons(sceneId);
);
FlatParquetUtil.QueryRequest request =
new FlatParquetUtil.QueryRequest(
FlatParquetUtil.PageRequest.of(1, 500),
filters,
sorts
);
FlatParquetUtil.PageResult<SalesDemandResult> result =
parquetUtil.queryPage(
rw.getOptimizationSalesDemand(sceneId),
SalesDemandResult.class,
request
);
List<SalesDemandResult> pispips = result.getRecords();
return pispips;
List<RiskItem> list= parquetUtil.readAll(salesDemandReasonPath,RiskItem.class,oi -> salesDemandIds.contains(oi.getSalesDemandId()));
return list;
} catch (Exception e) {
return null;
}
......@@ -678,25 +683,7 @@ public class MacroPlannerResultController {
}
}
private void normalizeUnmetReasons(List<SalesDemandResult> demands) {
for (SalesDemandResult demand : demands) {
List<String> reasons = demand.getUnmetReasons();
if (reasons == null || reasons.isEmpty()) {
continue;
}
List<String> normalized = new ArrayList<>();
for (String reason : reasons) {
if (reason != null && reason.startsWith("库存耗尽(") && reason.endsWith(")")) {
normalized.add("库存耗尽");
normalized.add(reason.substring("库存耗尽".length()));
} else {
normalized.add(reason);
}
}
reasons.clear();
reasons.addAll(normalized);
}
}
private void enrichPispipProductCodes(List<PispipResult> pispips) {
if (pispips == null || pispips.isEmpty()) {
......@@ -1025,6 +1012,7 @@ public class MacroPlannerResultController {
entryMap.put("rawValue", String.format("%.2f", e.rawValue));
entryMap.put("weight", e.weight == null ? null : String.format("%.1f", e.weight));
entryMap.put("penalty", e.penalty == null ? null : String.format("%.2f", e.penalty));
entryMap.put("contribution", e.contribution == null ? null : String.format("%.2f", e.contribution));
kpiList.add(entryMap);
}
kpiData.put("entries", kpiList);
......
src/main/java/com/aps/macroplanner/MacroPlannerDataConverterRunner.java
View file @ 18808dc2
......@@ -80,8 +80,8 @@ public class MacroPlannerDataConverterRunner {
optimizer.solve();
ResultWriter writer = new ResultWriter(optimizer.getModel(), optimizer.getData(), 1);
OptimizationResult result = writer.buildResult("Default");
boolean jsonPath = writer.saveResultToFile("Default", result);
OptimizationResult result = writer.buildResult(sceneId);
boolean jsonPath = writer.saveResultToFile(sceneId, result);
System.out.println("===== MACROPLANNER DATA CONVERTER RUNNER END =====");
} finally {
......
src/main/java/com/aps/macroplanner/MacroPlannerOptimizer.java
View file @ 18808dc2
......@@ -286,7 +286,7 @@ public class MacroPlannerOptimizer {
// ========== 1. 前置参数校验 ==========
List<KpiSetting> w = data.getKpiSettings();
List<StrategyLevel> levels=new ArrayList<>();
if (w == null) {
if (w == null||w.size()==0) {
levels = defineLevels(data.getKpiWeights());
}else {
levels = getKpiLevels(w);
......@@ -342,16 +342,18 @@ public class MacroPlannerOptimizer {
double bestBound = model.getSolver().objective().bestBound();
writeLog(" SCIP Status : %s%n", status);
writeLog(" Solving Time (sec) : %.2f%n", levelElapsedMs / 1000.0);
writeLog(" Primal Bound : %+.6e%n", optimalValue);
writeLog(" Goal Score : %+.6e%n", optimalValue);
writeLog(" Best Bound : %+.6e%n", bestBound);
double gap = Math.abs(optimalValue - bestBound) / Math.abs(optimalValue) * 100;
writeLog("gap：%.2f", gap);
// 输出当前层各KPI值
for (StrategyLevel.KPIEntry kpi : level.getKpis()) {
double kpiValue = kpi.variable.solutionValue();
double penalty = kpi.effectiveCoefficient() * kpiValue;
writeLog(" %s: %.2f (系数=%.1f, 惩罚=%.2f)%n",
kpi.name, kpiValue, kpi.effectiveCoefficient(), penalty);
double contribution = kpi.effectiveCoefficient() * kpiValue;
System.out.printf(" %s: %.2f (系数=%+.1f, 得分贡献=%+.2f)%n",
kpi.name, kpiValue, kpi.effectiveCoefficient(), contribution);
}
levelResults.add(new LevelResult(level, optimalValue, status));
......@@ -431,14 +433,19 @@ public class MacroPlannerOptimizer {
private List<StrategyLevel> defineLevels(KPIWeights w) {
List<StrategyLevel> levels = new ArrayList<>();
// === Level 0: 需求满足 (最高优先级, 严格分层, slack=0%) ===
StrategyLevel l0 = new StrategyLevel(0, "需求松弛", 0.0);
l0.addKPI("TotalSlack","需求松弛", model.getTotalSlack(), 1);
levels.add(l0);
// === Level 1: 需求满足 (最高优先级, 严格分层, slack=0%) ===
StrategyLevel l1 = new StrategyLevel(1, "需求满足", 0.0);
l1.addKPI(KpiLib.Fulfillment.getEn(),KpiLib.Fulfillment.getCn(), model.getTotalFulfillment(), w.getFulfillmentWeight());
l1.addKPI(KpiLib.Fulfillment.getEn(),KpiLib.Fulfillment.getCn(), model.getTotalFulfillment(), w.getFulfillmentWeight(),true);
levels.add(l1);
// === Level 2: 产能约束 (物理硬约束, 严格分层, slack=0%) ===
StrategyLevel l2 = new StrategyLevel(2, "产能约束", 0.0);
l2.addKPI(KpiLib.UnitCapacity.getEn(),KpiLib.Fulfillment.getCn(), model.getTotalUnitCapacity(), w.getUnitCapacityWeight());
l2.addKPI(KpiLib.UnitCapacity.getEn(),KpiLib.UnitCapacity.getCn(), model.getTotalUnitCapacity(), w.getUnitCapacityWeight());
levels.add(l2);
// === Level 3: 业务KPI (允许 5% 退化, slack=5%) ===
......@@ -472,7 +479,10 @@ public class MacroPlannerOptimizer {
TreeMap::new,
Collectors.toList()
));
// === Level 0: 需求满足 (最高优先级, 严格分层, slack=0%) ===
StrategyLevel l0 = new StrategyLevel(0, "需求松弛", 0.0);
l0.addKPI("TotalSlack","需求松弛", model.getTotalSlack(), 1);
levels.add(l0);
for (Map.Entry<Integer, List<KpiSetting>> entry : groupByLevelMap.entrySet()) {
Integer currentLevel = entry.getKey();
List<KpiSetting> kpiGroup = entry.getValue();
......@@ -480,7 +490,7 @@ public class MacroPlannerOptimizer {
// 遍历当前分组里面每一个KPI
for (KpiSetting kpi : kpiGroup) {
level.addKPI(kpi.code, kpi.name, model.getKpi(kpi.code), kpi.weight);
level.addKPI(kpi.code, kpi.name, model.getKpi(kpi.code), kpi.weight,KpiLib.ofEn(kpi.code).getIsBenefit());
}
......
src/main/java/com/aps/macroplanner/constraint/KpiAggregator.java
View file @ 18808dc2
......@@ -38,8 +38,12 @@ public class KpiAggregator {
public static void build(MacroPlannerModel model, TestDataBuilder data) {
double inf = MPSolver.infinity();
// TotalFulfillment = Σ DemandSlack
// TotalFulfillment = Σ SalesDemandQty (Quintiq fulfillment bonus KPI)
model.setTotalFulfillment(createSumKpi(model, "TotalFulfillment",
model.getSalesDemandQtyVars()));
// TotalSlack = Σ DemandSlack (Quintiq Slack KPI, 高优先级惩罚)
model.setTotalSlack(createSumKpi(model, "TotalSlack",
model.getDemandSlackVars()));
// TotalLotSize = Σ PTLotSizeOver + Σ PTLotSizeUnder
......@@ -66,10 +70,16 @@ public class KpiAggregator {
model.setTotalUnitCapacity(createSumKpi(model, "TotalUnitCapacity",
model.getCapacityOverloadedVars()));
// TotalMinimumUnitCapacity = Σ CapacityNotMet (Quintiq 最小产能未满足 KPI)
model.setTotalMinimumUnitCapacity(createSumKpi(model, "TotalMinUnitCapacity",
model.getCapacityNotMetVars()));
// TotalSupplyTarget = Σ SupplyTargetQtyUnder
model.setTotalSupplyTarget(createSumKpi(model, "TotalSupplyTarget",
model.getSupplyTargetQtyUnderVars()));
// TotalMinSupply = Σ MinSupplyQtyUnder
model.setTotalMinSupply(createSumKpi(model, "TotalMinSupply",
model.getMinSupplyQtyUnderVars()));
......
src/main/java/com/aps/macroplanner/model/MacroPlannerModel.java
View file @ 18808dc2
......@@ -80,12 +80,19 @@ public class MacroPlannerModel {
private final Map<String, MPVariable> ptLotSizeUnderVars = new HashMap<>();
// ==================== KPI 汇总变量 ====================
private MPVariable totalSlack;
private MPVariable totalFulfillment;
private MPVariable totalLotSize;
private MPVariable totalMaxInventoryLevel;
private MPVariable totalMinInventoryLevel;
private MPVariable totalTargetInvLevel;
private MPVariable totalUnitCapacity;
private MPVariable totalMinimumUnitCapacity;
private MPVariable totalSupplyTarget;
private MPVariable totalMinSupply;
private MPVariable totalMaxSupply;
......@@ -123,6 +130,7 @@ public class MacroPlannerModel {
}
// ==================== KPI 变量 setter (由 KpiAggregator 调用) ====================
public void setTotalSlack(MPVariable v) { this.totalSlack = v; }
public void setTotalFulfillment(MPVariable v) { this.totalFulfillment = v; }
public void setTotalLotSize(MPVariable v) { this.totalLotSize = v; }
......@@ -130,6 +138,9 @@ public class MacroPlannerModel {
public void setTotalMinInventoryLevel(MPVariable v) { this.totalMinInventoryLevel = v; }
public void setTotalTargetInvLevel(MPVariable v) { this.totalTargetInvLevel = v; }
public void setTotalUnitCapacity(MPVariable v) { this.totalUnitCapacity = v; }
public void setTotalMinimumUnitCapacity(MPVariable v) { this.totalMinimumUnitCapacity = v; }
public void setTotalSupplyTarget(MPVariable v) { this.totalSupplyTarget = v; }
public void setTotalMinSupply(MPVariable v) { this.totalMinSupply = v; }
public void setTotalMaxSupply(MPVariable v) { this.totalMaxSupply = v; }
......@@ -150,6 +161,8 @@ public class MacroPlannerModel {
public Map<String, MPVariable> getDemandFulfillmentVars() { return demandFulfillmentVars; }
public Map<String, MPVariable> getCapacityOverloadedVars() { return capacityOverloadedVars; }
public Map<String, MPVariable> getCapacityNotMetVars() { return capacityNotMetVars; }
public Map<String, MPVariable> getMinInvQtyUnderVars() { return minInvQtyUnderVars; }
public Map<String, MPVariable> getMaxInvQtyOverVars() { return maxInvQtyOverVars; }
public Map<String, MPVariable> getInvQtyUnderTargetVars() { return invQtyUnderTargetVars; }
......@@ -159,12 +172,16 @@ public class MacroPlannerModel {
public Map<String, MPVariable> getPtLotSizeOverVars() { return ptLotSizeOverVars; }
public Map<String, MPVariable> getPtLotSizeUnderVars() { return ptLotSizeUnderVars; }
public MPVariable getTotalSlack() { return totalSlack; }
public MPVariable getTotalFulfillment() { return totalFulfillment; }
public MPVariable getTotalLotSize() { return totalLotSize; }
public MPVariable getTotalMaxInventoryLevel() { return totalMaxInventoryLevel; }
public MPVariable getTotalMinInventoryLevel() { return totalMinInventoryLevel; }
public MPVariable getTotalTargetInvLevel() { return totalTargetInvLevel; }
public MPVariable getTotalUnitCapacity() { return totalUnitCapacity; }
public MPVariable getTotalMinimumUnitCapacity() { return totalMinimumUnitCapacity; }
public MPVariable getTotalSupplyTarget() { return totalSupplyTarget; }
public MPVariable getTotalMinSupply() { return totalMinSupply; }
public MPVariable getTotalMaxSupply() { return totalMaxSupply; }
......@@ -183,6 +200,9 @@ public class MacroPlannerModel {
case UnitCapacity:
kpivar = totalUnitCapacity;
break;
case MinUnitCapacity:
kpivar = totalMinimumUnitCapacity;
break;
case LotSize:
kpivar = totalLotSize;
break;
......
src/main/java/com/aps/macroplanner/objective/KpiLib.java
View file @ 18808dc2
......@@ -9,23 +9,28 @@ import java.util.stream.Collectors;
* 时间：2026-09-22
*/
public enum KpiLib {
Fulfillment("需求满足"),
UnitCapacity("产能"),
LotSize("批次"),
TargetInvLevel("目标库存"),
SupplyTarget("供应目标"),
SalesDemandPriority("销售优先级"),
MaxInventoryLevel("最大库存"),
MinInventoryLevel("最小库存"),
MinSupply("最小供应"),
MaxSupply("最大供应");
Fulfillment("需求满足",true),
UnitCapacity("产能",false),
MinUnitCapacity("最小化产能",false),
LotSize("批次",false),
TargetInvLevel("目标库存",false),
SupplyTarget("供应目标",false),
SalesDemandPriority("销售优先级",false),
MaxInventoryLevel("最大库存",false),
MinInventoryLevel("最小库存",false),
MinSupply("最小供应",false),
MaxSupply("最大供应",false);
private final String en;
private final String cn;
KpiLib(String cn) {
/** 是否为收益 KPI（越大越好）。 */
public final boolean isBenefit;
KpiLib(String cn,boolean isBenefit) {
this.en = this.name();
this.cn = cn;
this.isBenefit=isBenefit;
}
public String getEn() {
......@@ -36,6 +41,10 @@ public enum KpiLib {
return cn;
}
public boolean getIsBenefit() {
return isBenefit;
}
/**
* 转为 Map<英文编码,中文名称>，用于批量翻译、表头转换
*/
......
src/main/java/com/aps/macroplanner/objective/ObjectiveBuilder.java
View file @ 18808dc2
......@@ -168,18 +168,18 @@ public class ObjectiveBuilder {
for (StrategyLevel.KPIEntry kpi : level.getKpis()) {
objective.setCoefficient(kpi.variable, kpi.effectiveCoefficient());
}
objective.setMinimization();
objective.setMaximization();
}
/**
* 添加层级边界约束 — 限制上层目标值不超过最优值 × (1 + slack)。
* 添加层级边界约束 — 限制上层得分不低于最优值减去允许松弛。
*
* <p>该约束确保在求解下层 KPI 时, 上层 KPI 不会退化超过允许范围。
* 对应 Quintiq 中 StrategyLevel 的 HierarchicalSolver 约束。</p>
*
* <h3>数学公式</h3>
* <pre>
* Σ (effectiveCoeff × KPI_variable) ≤ optimalValue + |optimalValue| × relativeGoalSlack
* Σ (effectiveCoeff × KPI_variable) ≥ optimalValue - |optimalValue × relativeGoalSlack|
* </pre>
*
* @param model 模型容器
......@@ -192,10 +192,10 @@ public class ObjectiveBuilder {
if (level.getRelativeGoalSlack() < 0.0) return; // 负松弛表示不约束
MPSolver solver = model.getSolver();
double upperBound = computeUpperBound(optimalValue, level.getRelativeGoalSlack());
double lowerBound = optimalValue - Math.abs(optimalValue * level.getRelativeGoalSlack());
MPConstraint bound = solver.makeConstraint(
-MPSolver.infinity(), upperBound,
lowerBound, MPSolver.infinity(),
"HierLevel" + level.getLevel() + "_Bound");
for (StrategyLevel.KPIEntry kpi : level.getKpis()) {
......
src/main/java/com/aps/macroplanner/objective/StrategyLevel.java
View file @ 18808dc2
......@@ -60,8 +60,8 @@ public class StrategyLevel {
/** 该 KPI 在当前层级内的权重 */
public final double weight;
/** 是否为负向 KPI (越小越好 = 正常惩罚项; false = 正常惩罚项) */
public final boolean isNegative;
/** 是否为收益 KPI（越大越好）。 */
public final boolean isBenefit;
/** 编号 */
public final String code;
......@@ -69,20 +69,20 @@ public class StrategyLevel {
/** KPI 名称 (用于日志) */
public final String name;
public KPIEntry(String code,String name, MPVariable variable, double weight, boolean isNegative) {
public KPIEntry(String code,String name, MPVariable variable, double weight, boolean isBenefit) {
this.code = code;
this.name = name;
this.variable = variable;
this.weight = weight;
this.isNegative = isNegative;
this.isBenefit = isBenefit;
}
/**
* 计算该 KPI 在目标函数中的实际系数。
* 负向 KPI (如 SalesDemandPriority) 使用负系数实现最大化。
* 收益 KPI 使用正系数；惩罚 KPI 使用负系数。
*/
public double effectiveCoefficient() {
return isNegative ? -weight : weight;
return isBenefit ? weight : -weight;
}
}
......@@ -116,11 +116,11 @@ public class StrategyLevel {
* @param name KPI 名称
* @param variable KPI 汇总变量
* @param weight 权重 (0 = 跳过)
* @param isNegative 是否为负向 KPI (true = 最大化, 使用负系数)
* @param isBenefit 是否为收益 KPI（true = 最大化得分中的正系数）
*/
public void addKPI(String code, String name, MPVariable variable, double weight, boolean isNegative) {
public void addKPI(String code,String name, MPVariable variable, double weight, boolean isBenefit) {
if (weight > 0.0 && variable != null) {
kpis.add(new KPIEntry(code,name, variable, weight, isNegative));
kpis.add(new KPIEntry(code,name, variable, weight, isBenefit));
}
}
......
src/main/java/com/aps/macroplanner/output/ResultWriter.java
View file @ 18808dc2
......@@ -143,6 +143,12 @@ public class ResultWriter {
String fileName =resultDir.getAbsolutePath()+ "\\salesdemand.parquet";
return fileName;
}
public String getOptimizationSalesDemandReasons(String sceneId) {
File resultDir = getResultDirectory(sceneId);
String fileName =resultDir.getAbsolutePath()+ "\\salesdemandReasons.parquet";
return fileName;
}
public String getOptimizationSalesDemandSummarie(String sceneId) {
File resultDir = getResultDirectory(sceneId);
String fileName =resultDir.getAbsolutePath()+ "\\salesdemandsummarie.parquet";
......@@ -213,6 +219,11 @@ public class ResultWriter {
writeLog("writesalesDemand");
String salesDemandPath = getOptimizationSalesDemand(sceneId);
parquetUtil.write(result.getSalesDemands(), salesDemandPath, SalesDemandResult.class);
String salesDemandReasonPath = getOptimizationSalesDemandReasons(sceneId);
parquetUtil.write(result.getSaleDemandReasons(), salesDemandReasonPath, RiskItem.class);
// List<PispipResult> pispips = parquetUtil.readAll(pispiPath, PispipResult.class);
String salesDemandSummariePath = getOptimizationSalesDemandSummarie(sceneId);
parquetUtil.write(result.getSaleSummarieDemands(), salesDemandSummariePath, SalesDemandResult.class);
......@@ -529,7 +540,9 @@ public class ResultWriter {
writeLog("PeriodTasks");
buildPeriodTasks(sceneId,result);
writeLog("SalesDemands");
buildSalesDemands(result);
List<RiskItem> unmetReasons=new ArrayList<>();
buildSalesDemands(result,unmetReasons);
result.setSaleDemandReasons(unmetReasons);
writeLog("Pispips");
buildPispips(result);
writeLog("UnitCapacitie");
......@@ -713,7 +726,7 @@ public class ResultWriter {
// ==================== SalesDemandResult ====================
private void buildSalesDemands(OptimizationResult result) {
private void buildSalesDemands(OptimizationResult result,List<RiskItem> unmetReasons) {
for (SalesDemand sd : data.getSalesDemands()) {
SalesDemandResult sr = new SalesDemandResult();
sr.setSalesDemandId(sd.getDemandOrderId()==null? sd.getKey():sd.getDemandOrderId());
......@@ -740,10 +753,10 @@ public class ResultWriter {
sr.setDemandSlack(solutionValue(model.getDemandSlackVars(), invKey).setScale(3, RoundingMode.HALF_UP).doubleValue());
// 未完成原因分析
if (unmet > 0.001) {
// analyzeUnmetReasons(sd, sr.getUnmetReasons());
analyzeUnmetReasons(sd, unmetReasons);
}
// 风险分析
// analyzeRisks(sd, sr.getRisks());
analyzeRisks(sd, unmetReasons);
result.getSalesDemands().add(sr);
}
......@@ -782,7 +795,7 @@ public class ResultWriter {
* <li>无生产工序: 纯采购品, 依赖库存/在途</li>
* </ol>
*/
private void analyzeUnmetReasons(SalesDemand sd, java.util.List<String> reasons) {
private void analyzeUnmetReasons(SalesDemand sd, List<RiskItem> reasons) {
Product prod = sd.getProduct();
StockingPoint sp = sd.getStockingPoint();
Period p = sd.getPeriod();
......@@ -804,22 +817,25 @@ public class ResultWriter {
}
double available = openingInv + totalArrived.setScale(2, RoundingMode.HALF_UP).doubleValue();
if (available < demandQty) {
addReasonWithDetail(reasons, "库存耗尽",
addReasonWithDetail(reasons, sd,"库存耗尽",
"(可用" + fmt(available) + "件, 需求" + fmt(demandQty) + "件)");
}
// 2. 产能瓶颈: 所有生产该产品的单元满负荷 (利用率 > 95%)
boolean hasAnyUnit = false;
boolean allUnitsAtMax = true;
String unitnames="";
for (Operation op : data.getOperationsProducing(prod.getId(), sp.getId())) {
for (UnitOperation uo : op.getUnitOperations()) {
hasAnyUnit = true;
UnitPeriod up = data.getUnitPeriod(uo.getUnitId(), p);
if (up == null || up.isUnlimited()) continue;
BigDecimal totalUsed = BigDecimal.ZERO;
for (Operation unitOp : data.getOperationsByUnitId(uo.getUnitId())) {
for (UnitOperation unitUo : unitOp.getUnitOperations()) {
if (!unitUo.getUnitId().equals(uo.getUnitId())) continue;
unitnames+= unitUo.getUnitName()+";";
totalUsed =totalUsed.add( solutionValue(model.getPtQtyVars(),
unitOp.ptQtyKey(unitUo, p.getIndex())).multiply(BigDecimal.valueOf(unitUo.getCapacityCoeff()) ) );
}
......@@ -830,7 +846,8 @@ public class ResultWriter {
if (!allUnitsAtMax) break;
}
if (hasAnyUnit && allUnitsAtMax) {
reasons.add("产能瓶颈(所有产线满负荷)");
addReasonWithDetail(reasons,sd,"产能瓶颈(所有产线满负荷)",unitnames);
}
// 3. 原材料短缺: BOM 输入物料上期库存见底
......@@ -845,8 +862,12 @@ public class ResultWriter {
InventorySpec inputSpec = data.getInventorySpecFor(inputProd, inputSp, p);
double minInv = inputSpec != null ? inputSpec.getMinLevel() : 0;
if (prevInputInv <= minInv + 0.001) {
String r = "原材料短缺(" + inputProd.getId() + "库存见底)";
if (!reasons.contains(r)) reasons.add(r);
String r = "原材料短缺(" + inputProd.getCode() + "库存见底)";
if (!reasons.contains(r))
{
addReasonWithDetail(reasons,sd,"原材料短缺",r);
}
}
}
}
......@@ -861,8 +882,10 @@ public class ResultWriter {
totalProduced=totalProduced.add( solutionValue(model.getPtQtyVars(), op.ptQtyKey(uo, p.getIndex())));
}
if (totalProduced.doubleValue() > 0.001) {
reasons.add("提前期限制(生产" + fmt(totalProduced.doubleValue()) + "件, 需"
+ op.getLeadTimeDays() + "天后到货)");
String r="提前期限制(生产" + fmt(totalProduced.doubleValue()) + "件, 需"
+ op.getLeadTimeDays() + "天后到货)";
addReasonWithDetail(reasons,sd,"提前期限制",r);
}
}
}
......@@ -870,17 +893,23 @@ public class ResultWriter {
// 5. 无生产工序
boolean hasOperation = !data.getOperationsProducingProduct(prod.getId()).isEmpty();
if (!hasOperation) {
reasons.add("无生产工序(纯采购品, 依赖库存/在途)");
addReasonWithDetail(reasons,sd,"无生产工序","无生产工序(纯采购品, 依赖库存/在途)");
}
if (reasons.isEmpty()) {
reasons.add("供需缺口(可用库存不足)");
addReasonWithDetail(reasons,sd,"供需缺口","供需缺口(可用库存不足)");
}
}
private void addReasonWithDetail(java.util.List<String> reasons, String title, String detail) {
reasons.add(title);
reasons.add(detail);
private void addReasonWithDetail(java.util.List<RiskItem> reasons,SalesDemand sd, String title, String detail) {
addReasonWithDetail(reasons,sd,1,"",title,detail);
}
private void addReasonWithDetail(java.util.List<RiskItem> reasons,SalesDemand sd,int type,String level, String title, String detail) {
RiskItem reason=new RiskItem(sd.getDemandOrderId(),sd.getPeriod().getIndex(),type,level,title,detail);
reasons.add(reason);
}
/**
......@@ -905,7 +934,7 @@ public class ResultWriter {
double endingInv = solutionValue(model.getInvQtyVars(), invKey).setScale(3, RoundingMode.HALF_UP).doubleValue();
InventorySpec spec = data.getInventorySpecFor(prod, sp, p);
if (spec != null && spec.hasMinLevel() && endingInv < spec.getMinLevel() - 0.001) {
addRisk(risks, "高", "安全库存被消耗(期末" + fmt(endingInv) + "件 < 最小" + fmt(spec.getMinLevel()) + "件)");
addRisk(risks,sd, "高", "安全库存被消耗(期末" + fmt(endingInv) + "件 < 最小" + fmt(spec.getMinLevel()) + "件)");
}
// 2. 产线高负荷 (> 90%)
......@@ -926,7 +955,7 @@ public class ResultWriter {
.doubleValue()
: 0D; if (util > 0.90) {
String level = util > 0.95 ? "高" : "低";
addRisk(risks, level, "产线高负荷(" + uo.getUnitId() + "利用率"
addRisk(risks,sd, level, "产线高负荷(" + uo.getUnitId() + "利用率"
+ String.format("%.0f%%", util * 100) + ")");
}
}
......@@ -938,7 +967,7 @@ public class ResultWriter {
unitCount += op.getUnitOperations().size();
}
if (unitCount == 1) {
addRisk(risks, "低", "单一供应源(仅1条产线可生产)");
addRisk(risks,sd, "低", "单一供应源(仅1条产线可生产)");
}
// 4. 原材料提前期长: 关键 BOM 物料 leadTime 长
......@@ -948,7 +977,7 @@ public class ResultWriter {
Product inputProd = input.getInputProduct();
for (Operation upOp : data.getOperationsProducingProduct(inputProd.getId())) {
if (upOp.getLeadTimeDays() >= 2) {
addRisk(risks, "低", "原材料提前期长(" + inputProd.getId() + "采购需"
addRisk(risks, sd,"低", "原材料提前期长(" + inputProd.getId() + "采购需"
+ upOp.getLeadTimeDays() + "天)");
}
}
......@@ -959,16 +988,16 @@ public class ResultWriter {
double fulfilled = solutionValue(model.getSalesDemandQtyVars(), sd.getKey()).setScale(3, RoundingMode.HALF_UP).doubleValue();
double rate = sd.getQuantity() > 0 ? fulfilled / sd.getQuantity() : 1.0;
if (sd.getPriority() > 1.0 && rate < 0.999) {
addRisk(risks, "高", "高优先级需求满足率" + String.format("%.0f%%", rate * 100));
addRisk(risks,sd, "高", "高优先级需求满足率" + String.format("%.0f%%", rate * 100));
}
}
/** 按描述去重后添加风险项 */
private void addRisk(java.util.List<RiskItem> risks, String level, String description) {
private void addRisk(java.util.List<RiskItem> risks,SalesDemand sd, String level, String description) {
for (RiskItem r : risks) {
if (r.getDescription().equals(description)) return;
}
risks.add(new RiskItem(level, description));
addReasonWithDetail(risks,sd,2,level,"",description);
}
/** 格式化数值: 去掉多余小数位 */
private String fmt(double v) {
......@@ -1606,7 +1635,7 @@ public class ResultWriter {
jb.key("fulfillmentRate").val(sr.getFulfillmentRate());
jb.key("priority").val(sr.getPriority());
jb.key("unmetReasons").arr();
for (String r : sr.getUnmetReasons()) jb.val(r);
// for (String r : sr.getUnmetReasons()) jb.val(r);
jb.endArr();
jb.key("risks").arr();
for (RiskItem r : sr.getRisks()) {
......@@ -1698,6 +1727,7 @@ public class ResultWriter {
.key("rawValue").val(e.rawValue)
.key("weight").valOpt(e.weight)
.key("penalty").valOpt(e.penalty)
.key("contribution").valOpt(e.contribution)
.key("isBenefit").val(e.isBenefit)
.endObj();
}
......
src/main/java/com/aps/macroplanner/output/SolutionPrinter.java
View file @ 18808dc2
......@@ -693,37 +693,37 @@ public class SolutionPrinter {
// 计算并输出加权总惩罚 (等价于单目标函数值)
writeLog("");
writeLog("--- 最终 KPI 值 (加权总惩罚) ---");
double fulfillment = model.getTotalFulfillment().solutionValue();
double lotSize = model.getTotalLotSize().solutionValue();
double maxInv = model.getTotalMaxInventoryLevel().solutionValue();
double minInv = model.getTotalMinInventoryLevel().solutionValue();
double targetInv = model.getTotalTargetInvLevel().solutionValue();
double capacity = model.getTotalUnitCapacity().solutionValue();
double supplyTarget = model.getTotalSupplyTarget().solutionValue();
double minSupply = model.getTotalMinSupply().solutionValue();
double maxSupply = model.getTotalMaxSupply().solutionValue();
double salesPriority = model.getTotalSalesDemandPriority().solutionValue();
double totalPenalty = fulfillment * weights.getOrDefault(KpiLib.Fulfillment.getEn(),0d)
+ lotSize * weights.getOrDefault(KpiLib.LotSize.getEn(),0d)
+ maxInv * weights.getOrDefault(KpiLib.MinInventoryLevel.getEn(),0d)
+ minInv * weights.getOrDefault(KpiLib.MinInventoryLevel.getEn(),0d)
+ targetInv * weights.getOrDefault(KpiLib.TargetInvLevel.getEn(),0d)
+ capacity * weights.getOrDefault(KpiLib.UnitCapacity.getEn(),0d)
+ supplyTarget * weights.getOrDefault(KpiLib.SupplyTarget.getEn(),0d)
+ minSupply * weights.getOrDefault(KpiLib.MinSupply.getEn(),0d)
+ maxSupply * weights.getOrDefault(KpiLib.MaxSupply.getEn(),0d)
- salesPriority * weights.getOrDefault(KpiLib.SalesDemandPriority.getEn(),0d);
writeLog(" 加权总惩罚: %.2f", totalPenalty);
// writeLog("--- 最终 KPI 值 (加权总惩罚) ---");
// double fulfillment = model.getTotalFulfillment().solutionValue();
// double lotSize = model.getTotalLotSize().solutionValue();
// double maxInv = model.getTotalMaxInventoryLevel().solutionValue();
// double minInv = model.getTotalMinInventoryLevel().solutionValue();
// double targetInv = model.getTotalTargetInvLevel().solutionValue();
// double capacity = model.getTotalUnitCapacity().solutionValue();
// double supplyTarget = model.getTotalSupplyTarget().solutionValue();
// double minSupply = model.getTotalMinSupply().solutionValue();
// double maxSupply = model.getTotalMaxSupply().solutionValue();
// double salesPriority = model.getTotalSalesDemandPriority().solutionValue();
// double totalPenalty = fulfillment * weights.getOrDefault(KpiLib.Fulfillment.getEn(),0d)
// + lotSize * weights.getOrDefault(KpiLib.LotSize.getEn(),0d)
// + maxInv * weights.getOrDefault(KpiLib.MinInventoryLevel.getEn(),0d)
// + minInv * weights.getOrDefault(KpiLib.MinInventoryLevel.getEn(),0d)
// + targetInv * weights.getOrDefault(KpiLib.TargetInvLevel.getEn(),0d)
// + capacity * weights.getOrDefault(KpiLib.UnitCapacity.getEn(),0d)
// + supplyTarget * weights.getOrDefault(KpiLib.SupplyTarget.getEn(),0d)
// + minSupply * weights.getOrDefault(KpiLib.MinSupply.getEn(),0d)
// + maxSupply * weights.getOrDefault(KpiLib.MaxSupply.getEn(),0d)
// - salesPriority * weights.getOrDefault(KpiLib.SalesDemandPriority.getEn(),0d);
//
// writeLog(" 总kpi: %.2f", totalPenalty);
for (Map.Entry<String, Double> entry : weights.entrySet()) {
String key = entry.getKey();
Double weight = entry.getValue();
KpiLib kpi = KpiLib.ofEn(key);
double val= model.getKpi(key).solutionValue();
writeLog(" %s: %.2f (权重%.0f × %.2f)",
writeLog(" %s: %.2f (%.0f × %.2f)",
kpi.getCn(),val * weight, val, weight);
}
......
src/main/java/com/aps/macroplanner/output/dto/KpiResult.java
View file @ 18808dc2
......@@ -26,6 +26,8 @@ public class KpiResult {
public Double weight;
/** 加权惩罚；权重为空时为 null */
public Double penalty;
/** 得分贡献 = rawValue × weight（收益项为正, 惩罚项为负）；无权重时为 null */
public Double contribution;
/** 是否为收益项 (越大越好, 正系数) */
public boolean isBenefit;
}
......@@ -44,6 +46,7 @@ public class KpiResult {
e.weight = weight;
e.isBenefit = isBenefit;
e.penalty = weight == null ? null : (isBenefit ? -rawValue * weight : rawValue * weight);
e.contribution = weight == null ? null : (isBenefit ? rawValue * weight : -rawValue * weight);
entries.add(e);
}
}
src/main/java/com/aps/macroplanner/output/dto/OptimizationResult.java
View file @ 18808dc2
......@@ -33,6 +33,8 @@ public class OptimizationResult {
private final List<SalesDemandResult> salesDemands = new ArrayList<>();
private List<SalesDemandResult> saleDemandSummaries = new ArrayList<>();
private List<RiskItem> saleDemandReasons = new ArrayList<>();
private final List<PispipResult> pispips = new ArrayList<>();
......@@ -76,8 +78,12 @@ public class OptimizationResult {
public List<SalesDemandResult> getSaleSummarieDemands() { return saleDemandSummaries; }
public List<RiskItem> getSaleDemandReasons() { return saleDemandReasons; }
public void setSaleSummarieDemands(List<SalesDemandResult> v) { saleDemandSummaries=v; }
public void setSaleDemandReasons(List<RiskItem> v) { saleDemandReasons=v; }
public List<PispipResult> getPispips() { return pispips; }
......
src/main/java/com/aps/macroplanner/output/dto/RiskItem.java
View file @ 18808dc2
......@@ -2,6 +2,7 @@ package com.aps.macroplanner.output.dto;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import lombok.Data;
/**
* 作者：佟礼
......@@ -12,16 +13,27 @@ import com.fasterxml.jackson.annotation.JsonProperty;
*
* <p>level 取值: "高" / "低"。</p>
*/
@Data
public class RiskItem {
private final String level;
private final String description;
@JsonCreator
public RiskItem(@JsonProperty("level") String level, @JsonProperty("description") String description) {
private String salesDemandId;
private Integer periodIndex;
private Integer type;
private String level;
private String title;
private String description;
public RiskItem()
{}
public RiskItem(String salesDemandId,int periodIndex,int type,String level,String title, String description) {
this.salesDemandId=salesDemandId;
this.periodIndex=periodIndex;
this.type=type;
this.level = level;
this.title = title;
this.description = description;
}
public String getLevel() { return level; }
public String getDescription() { return description; }
}
src/main/java/com/aps/macroplanner/output/dto/SalesDemandResult.java
View file @ 18808dc2
......@@ -39,9 +39,9 @@ public class SalesDemandResult {
private Long categoryId;
/** 未完成原因分析 (仅当 unmetQty > 0 时有内容) */
private final List<String> unmetReasons = new ArrayList<>();
private List<RiskItem> unmetReasons = new ArrayList<>();
/** 风险分析 (即使满足也可能存在的供应链风险) */
private final List<RiskItem> risks = new ArrayList<>();
private List<RiskItem> risks = new ArrayList<>();
// ==================== Getters / Setters ====================
......@@ -88,8 +88,10 @@ public class SalesDemandResult {
public double getPriority() { return priority; }
public void setPriority(double v) { this.priority = v; }
public List<String> getUnmetReasons() { return unmetReasons; }
public List<RiskItem> getUnmetReasons() { return unmetReasons; }
public List<RiskItem> getRisks() { return risks; }
public void setUnmetReasons(List<RiskItem> v) { unmetReasons=v; }
public void setRisks(List<RiskItem> v) { risks=v; }
}
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