| CDoubleTimeSeriesParameter | |
| CLotSizingDataModel.Instance.ClosedLoop.ClosedLoopTimeSeriesParameter | Non-negative period-dependent quantity or unit-cost series used by the closed-loop instance extension |
| CIPlanningHorizonAware | |
| CLotSizingDataModel.Instance.ClosedLoop.ClosedLoopReturnStream | Describes one exogenous stream of returned units and its recovery/disposal alternatives |
| CLotSizingDataModel.Instance.Analysis.ParallelRoutingTopologyDescriptor | |
| CLotSizingDataModel.Instance.Analysis.ParallelSchedulingTopologyAnalyzer | |
| CLotSizingDataModel.Instance.Analysis.ProductStructureAnalysis | Represents the detailed result of an automatic analysis of a product bill-of-materials graph |
| CLotSizingDataModel.Instance.Analysis.ProductStructureAnalyzer | Analyzes the bill-of-materials graph of a supply-chain instance and determines its product-structure type |
| CLotSizingDataModel.Instance.Benchmark.BenchmarkBestKnownResultSelection | |
| CLotSizingDataModel.Instance.Benchmark.BenchmarkBestKnownResultSelectionService | Selects an eligible benchmark reference objective from native KnownResult records |
| CLotSizingDataModel.Instance.Benchmark.BenchmarkDatasetLayout | Canonical repository layout for benchmark artifacts |
| CLotSizingDataModel.Instance.Benchmark.BenchmarkHistoricalAuditSnapshot | |
| CLotSizingDataModel.Instance.Benchmark.BenchmarkKnownResultAuditRecord | |
| CLotSizingDataModel.Instance.Benchmark.BenchmarkKnownResultAuditService | Audits native KnownResult metadata for benchmark/BKS use. No parallel verification-status enum is introduced |
| CLotSizingDataModel.Instance.Benchmark.BenchmarkRunProvenance | Reproducibility metadata for one benchmark run |
| CLotSizingDataModel.Instance.Classification.Historical.WolseyHistoricalDescriptor | Lossless detected/source-preserved Wolsey descriptor |
| CLotSizingDataModel.Instance.Classification.Historical.WolseyHistoricalSemanticsAnalyzer | Projects generic LotSizingDataModel semantics onto Wolsey's historical dimensions |
| CLotSizingDataModel.Instance.Classification.KnownProblemRuleEvaluator | Evaluates known-problem classification rules against extracted lot-sizing problem features |
| CLotSizingDataModel.Instance.Classification.KnownProblemTypeCatalogFactory | Creates predefined catalogs of known lot-sizing problem-family definitions |
| CLotSizingDataModel.Instance.Classification.LotSizingProblemClassifier | Classifies lot-sizing supply-chain instances using a catalog of known problem-family definitions |
| CLotSizingDataModel.Instance.Classification.LotSizingProblemFeatureExtractor | Extracts factual lot-sizing problem features from a supply-chain instance |
| CLotSizingDataModel.Instance.Creation.LotSizingInstanceFactory | Creates lot-sizing problem instances and initializes their automatically derived metadata |
| CLotSizingDataModel.Instance.Creation.LotSizingInstanceRecommendationFactory | Creates, applies and refreshes solution-method recommendation reports for lot-sizing instances |
| CLotSizingDataModel.Instance.Descriptors.CapacityDescriptor | Describes represented capacity families and extensions |
| CLotSizingDataModel.Instance.Descriptors.Classical.NonSpeculativeCostConditionAnalysis | Result of the generic adjacent non-speculative production/holding-cost condition analysis |
| CLotSizingDataModel.Instance.Descriptors.Classical.NonSpeculativeCostConditionAnalyzer | Tests the generic adjacent non-speculative cost condition h_t + p_t - p_(t+1) >= 0 |
| CLotSizingDataModel.Instance.Descriptors.Classical.ZeroOrFullCapacityProductionAnalysis | Result of testing whether positive production is forced to equal the period production capacity |
| CLotSizingDataModel.Instance.Descriptors.Classical.ZeroOrFullCapacityProductionAnalyzer | Detects the zero-or-full-capacity production regime from already modeled minimum-lot-size and production-capacity series |
| CLotSizingDataModel.Instance.Descriptors.DemandDescriptor | Describes demand semantics already represented by the model |
| CLotSizingDataModel.Instance.Descriptors.InventoryServiceDescriptor | Describes inventory and unmet-demand semantics |
| CLotSizingDataModel.Instance.Descriptors.LotSizingProblemDescriptor | Typed structured description of the factual lot-sizing problem characteristics currently represented by an instance |
| CLotSizingDataModel.Instance.Descriptors.Network.DirectedSupplyNetworkDescriptor | Immutable analysis result for one directed physical supply network |
| CLotSizingDataModel.Instance.Descriptors.Network.SupplyNetworkAnalyzer | Extracts the physical forward supply-flow graph encoded by Core |
| CLotSizingDataModel.Instance.Descriptors.Network.SupplyNetworkArcDescriptor | Describes one aggregated physical forward-flow relationship |
| CLotSizingDataModel.Instance.Descriptors.Network.SupplyNetworkDescriptor | Describes the physical supply-flow network independently from the BOM and independently from any planning paradigm such as MRP or DRP |
| CLotSizingDataModel.Instance.Descriptors.Network.SupplyNetworkNodeDescriptor | Describes one node of the physical supply-flow graph |
| CLotSizingDataModel.Instance.Descriptors.ObjectiveFinanceDescriptor | Describes factual finance and objective semantics |
| CLotSizingDataModel.Instance.Descriptors.ProcurementDescriptor | Describes procurement semantics represented by the current model |
| CLotSizingDataModel.Instance.Descriptors.ProductionDescriptor | Describes production and lot-size semantics |
| CLotSizingDataModel.Instance.Descriptors.SchedulingDescriptor | Factual integrated lot-sizing/scheduling characteristics |
| CLotSizingDataModel.Instance.Descriptors.SetupDescriptor | Describes setup semantics exposed by the current model |
| CLotSizingDataModel.Instance.Descriptors.StructureDescriptor | Describes structural dimensions of a lot-sizing problem |
| CLotSizingDataModel.Instance.Descriptors.Temporal.BitranYanasseProfileAnalyzer | Builds the historical Bitran-Yanasse temporal profile from four explicit period series |
| CLotSizingDataModel.Instance.Descriptors.Temporal.BitranYanasseTemporalProfile | Represents the historical Bitran-Yanasse temporal structure alpha/beta/gamma/delta for single-item capacitated lot sizing |
| CLotSizingDataModel.Instance.Descriptors.Temporal.TemporalPatternAnalysis | Represents the deterministic analysis of one finite, non-empty time series |
| CLotSizingDataModel.Instance.Descriptors.Temporal.TemporalPatternAnalyzer | Classifies a numerical time series as Zero, Constant, NonIncreasing, NonDecreasing or General |
| CLotSizingDataModel.Instance.Descriptors.Temporal.TemporalPatternTolerance | Defines the numerical tolerance policy used for temporal-pattern analysis |
| CLotSizingDataModel.Instance.Descriptors.Temporal.TemporalPatternTypeExtensions | Provides stable historical codes for temporal-pattern categories |
| CLotSizingDataModel.Instance.Descriptors.TimeDescriptor | Describes planning-time dimensions |
| CLotSizingDataModel.Instance.Descriptors.TransportationDistributionDescriptor | Describes transportation and distribution semantics |
| CLotSizingDataModel.Instance.Historical.BitranYanasse.BitranYanasseApplicabilityAssessment | Structured assessment of Bitran-Yanasse historical-domain applicability |
| CLotSizingDataModel.Instance.Historical.BitranYanasse.BitranYanasseHistoricalMapper | Maps the historical Bitran-Yanasse temporal classification to the portion of the LotSizingDataModel universal specification that can be represented exactly by notation scheme v1 |
| CLotSizingDataModel.Instance.Historical.BitranYanasse.BitranYanasseHistoricalMapping | Represents a lossless historical Bitran-Yanasse profile together with the lossless projection to universal notation scheme v1 |
| CLotSizingDataModel.Instance.Historical.HistoricalClassificationMappingRegistry | |
| CLotSizingDataModel.Instance.Historical.HistoricalClassificationMappingRegistryFactory | |
| CLotSizingDataModel.Instance.Historical.HistoricalInverseResolution | |
| CLotSizingDataModel.Instance.Historical.HistoricalMappingAuditResult | |
| CLotSizingDataModel.Instance.Historical.HistoricalMappingAuditService | |
| CLotSizingDataModel.Instance.Historical.HistoricalMappingRule | |
| CLotSizingDataModel.Instance.Historical.Wolsey.WolseyExtendedClassification | Preserves Wolsey's optional multi-item/machine/level extension around the single-item PROB-CAP-VAR classification |
| CLotSizingDataModel.Instance.Historical.Wolsey.WolseyHistoricalMapper | Projects Wolsey's 2002 classification onto the generic universal notation without changing the meaning of unsupported historical dimensions |
| CLotSizingDataModel.Instance.Historical.Wolsey.WolseyHistoricalMapping | Represents a Wolsey historical classification and the portion currently expressible as a universal problem specification |
| CLotSizingDataModel.Instance.Historical.Wolsey.WolseyMachineClassification | Typed representation of the machine block {NK=#,[IM,VM],[LT]*,[SB1,SB2,BB],[SET,ST,SQT,SQC]*} |
| CLotSizingDataModel.Instance.Historical.Wolsey.WolseyMultiLevelClassification | Typed representation of Wolsey's multi-level block {NL=#,[G,A,S]} |
| CLotSizingDataModel.Instance.Historical.Wolsey.WolseySingleItemClassification | Lossless typed representation of Wolsey's PROB-CAP-VAR single-item classification |
| CLotSizingDataModel.Instance.Notation.Lsi.Lsi10Projection | Immutable scientific compatibility projection for the LSI/1.0 notation |
| CLotSizingDataModel.Instance.Notation.Lsi.Lsi10ScientificProjectionService | End-to-end LSI/1.0 projection service using the stable 1.2.x semantic path |
| CLotSizingDataModel.Instance.Notation.Lsi.Lsi10ScientificProjector | Projects the stable 1.2.x descriptor / Universal Notation model to LSI/1.0 |
| CLotSizingDataModel.Instance.Notation.Matching.UniversalNotationMatcher | Matches a typed lot-sizing descriptor against a universal-notation problem specification |
| CLotSizingDataModel.Instance.Notation.Matching.UniversalNotationMatchIssue | Represents one structured explanation emitted by the notation matcher |
| CLotSizingDataModel.Instance.Notation.Matching.UniversalNotationMatchResult | Represents the complete result of matching a typed descriptor against a universal problem specification |
| CLotSizingDataModel.Instance.Notation.Matching.UniversalProblemSpecification | Represents a universal notation interpreted as a problem specification |
| CLotSizingDataModel.Instance.Notation.UniversalDerivedSemantics | Carries explicit derived analyses that cannot be inferred from the coarse typed descriptor alone |
| CLotSizingDataModel.Instance.Notation.UniversalLotSizingNotation | Typed abstract syntax tree for the versioned alpha | beta | gamma scheme |
| CLotSizingDataModel.Instance.Notation.UniversalNetworkNotation | Typed alpha-field representation of the physical network |
| CLotSizingDataModel.Instance.Notation.UniversalNotationAlpha | Alpha field: structural/environment characteristics |
| CLotSizingDataModel.Instance.Notation.UniversalNotationBeta | Beta field: constraints and modeled extensions |
| CLotSizingDataModel.Instance.Notation.UniversalNotationGamma | Gamma field: objective family |
| CLotSizingDataModel.Instance.Notation.UniversalNotationGenerator | Generates notation scheme version 1 from typed problem descriptors |
| CLotSizingDataModel.Instance.Notation.UniversalNotationParser | Parses and canonicalizes notation scheme version 1 |
| CLotSizingDataModel.Instance.Notation.UniversalNotationRenderer | Renders the canonical text form of notation scheme version 1 |
| CLotSizingDataModel.Instance.Notation.UniversalNotationScheme | Identifies the versioned LotSizingDataModel universal notation scheme |
| CLotSizingDataModel.Instance.Notation.UniversalNotationTokenCatalog | Stable canonical token mapping for notation scheme version 1 |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassAliasResolution | Result of resolving a literature/project acronym or canonical code |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassAliasResolver | Resolves canonical codes and historical/literature aliases without arbitrarily collapsing ambiguous acronyms |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassAnalyzer | Assesses one descriptor against one canonical problem-class core |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassCatalog | Canonical lot-sizing problem-class catalog |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassDefinition | One canonical scientific problem-class definition |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassDetector | Detects all executable canonical problem classes compatible with one descriptor |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassExtensionAnalyzer | Identifies modeled extensions outside the six currently executable canonical lot-sizing core signatures |
| CLotSizingDataModel.Instance.ProblemClasses.LotSizingProblemClassMatchResult | Complete canonical problem-class membership assessment |
| CLotSizingDataModel.Instance.ProblemClasses.MacroMicroSchedulingProblemClassAnalyzer | |
| CLotSizingDataModel.Instance.ProblemClasses.SmallBucketSchedulingProblemClassAnalyzer | Canonical membership analyzer for the DLSP, CSLP and PLSP small-bucket scheduling families independently of their current solver support state |
| CLotSizingDataModel.Instance.Recommendation.SolutionMethodAdvisor | Evaluates and ranks solution methods for lot-sizing problem instances |
| CLotSizingDataModel.Instance.Recommendation.SolutionMethodCatalogFactory | Creates predefined catalogs of solution methods for lot-sizing problem instances |
| CLotSizingDataModel.Instance.Scientific.HistoricalClassificationCapability | Describes what the current engine can safely do with one historical classification scheme |
| CLotSizingDataModel.Instance.Scientific.HistoricalClassificationCapabilityAnalyzer | Reports historical mapping/detection capability without inventing a historical code that cannot be derived safely |
| CLotSizingDataModel.Instance.Scientific.ScientificClassificationCoverage | Declares exactly which scientific axes this engine infers |
| CLotSizingDataModel.Instance.Scientific.ScientificClassificationDiagnostic | One structured diagnostic emitted by the scientific classification engine |
| CLotSizingDataModel.Instance.Scientific.ScientificClassificationEngine | Single entry point for current scientific classification capabilities |
| CLotSizingDataModel.Instance.Scientific.ScientificClassificationRequest | Optional inputs to one scientific-classification run |
| CLotSizingDataModel.Instance.Scientific.ScientificClassificationResult | Consolidated, UI-independent scientific classification result |
| CLotSizingDataModel.Instance.Scientific.ScientificNotationComparison | Keeps declared notation and its comparison with detected notation separate |
| CLotSizingDataModel.Instance.Serialization.LotSizingInstanceXmlSerializer | Serializes and deserializes complete lot-sizing problem instances using XML |
| CLotSizingDataModel.Instance.Taxonomy.ScientificConceptCatalog | Provides a small canonical concept catalog used to keep scientific categories separated before historical mappings are introduced |
| CLotSizingDataModel.Instance.Taxonomy.ScientificConceptReference | Identifies one named scientific concept together with its taxonomic category |
| CLotSizingDataModel.Instance.Validation.InstanceDiagnostic | Represents one structured diagnostic produced while checking the semantic validity of a lot-sizing instance |
| CLotSizingDataModel.Instance.Validation.InstanceModelChecker | Checks whether a LotSizingInstance represents a structurally valid and semantically meaningful lot-sizing model |
| CLotSizingDataModel.Instance.Validation.InstanceModelCheckResult | Represents the complete result of semantic instance validation |
| CLotSizingDataModel.Instance.Validation.InstanceValidationCapabilities | Describes which downstream operations are permitted after instance-model validation |
| CLotSizingDataModel.Instance.Validation.LotSizingInstanceValidator | Validates the structural and referential consistency of a complete lot-sizing problem instance |
| CModelObject | |
| CLotSizingDataModel.Instance.Classification.ClassificationEvidence | Represents one factual element used to evaluate whether a lot-sizing instance matches a known problem family |
| CLotSizingDataModel.Instance.Classification.KnownProblemRuleDefinition | Defines one reusable condition used to classify lot-sizing problem instances |
| CLotSizingDataModel.Instance.Classification.KnownProblemTypeCatalog | Stores known lot-sizing problem-family definitions and the reusable rules used to recognize them |
| CLotSizingDataModel.Instance.Classification.KnownProblemTypeDefinition | Defines one known lot-sizing problem family in the problem-type catalog |
| CLotSizingDataModel.Instance.Classification.KnownProblemTypeMatch | Represents a detected correspondence between a lot-sizing instance and a known problem family |
| CLotSizingDataModel.Instance.Classification.LotSizingProblemClassification | Stores the persistent result of the automatic classification of a lot-sizing problem instance |
| CLotSizingDataModel.Instance.Classification.LotSizingProblemFeatures | Describes the factual structural and modeling features detected in a lot-sizing supply-chain instance |
| CLotSizingDataModel.Instance.ClosedLoop.ClosedLoopReturnStream | Describes one exogenous stream of returned units and its recovery/disposal alternatives |
| CLotSizingDataModel.Instance.Historical.HistoricalSemanticsMetadata | Source-declared historical classification metadata |
| CLotSizingDataModel.Instance.LotSizingInstance | Adds explicit closed-loop return streams to a lot-sizing instance without changing the historical SupplyChain schema |
| CLotSizingDataModel.Instance.Metadata.ProductStructureDescriptor | Describes the declared and automatically detected structure of the product bill-of-materials graph of an instance |
| CLotSizingDataModel.Instance.Recommendation.MethodCompatibilityEvidence | Represents one piece of evidence used to evaluate the compatibility between a solution method and a lot-sizing problem instance |
| CLotSizingDataModel.Instance.Recommendation.SolutionMethodCatalog | Represents an extensible catalog of solution methods that may be evaluated for lot-sizing problem instances |
| CLotSizingDataModel.Instance.Recommendation.SolutionMethodDefinition | Describes the applicability, capabilities and limitations of a solution method for lot-sizing problem instances |
| CLotSizingDataModel.Instance.Recommendation.SolutionMethodRecommendation | Represents the evaluated compatibility of one solution method with a specific lot-sizing problem instance |
| CLotSizingDataModel.Instance.Recommendation.SolutionMethodRecommendationReport | Stores the solution-method recommendations generated for one lot-sizing problem instance |
| CLotSizingDataModel.Instance.Results.KnownResult | Represents a known result associated with a lot-sizing problem instance |