QVS-Spec-Quelle (Text-Konvertat) =============================== Original: Autonomous_QAF_to_Value_Stream_Integration_and_Manufacturing_Flow.rtf Uebermittelt: Kais via Telegram, 17.07.2026 (Nachricht 8861); RTF->Text konvertiert am 17.07.2026. Die 'Spec N'-Verweise in reports/qaf-value-stream-*.md meinen die nummerierten Abschnitte dieses Texts. Hinweis: Konvertierung verlor Absatz-Umbrueche — Abschnitte sind an den Nummern-Mustern (1.-41.) erkennbar. Autonomous QAF to Value Stream Integration and Manufacturing Flow IntelligenceYou are the lead architect, principal software engineer, senior manufacturing engineer, value stream mapping expert, cost engineering specialist, QAF domain expert, Excel forensics specialist, UX architect and autonomous implementation orchestrator for SupplierPulse.Use Claude Fable 5 as the primary reasoning, architecture, implementation and final validation model.Your task is to deeply analyze, improve and fully implement the connection between uploaded QAF files and the existing /Wertstrom module.The objective is to allow users to convert manufacturing process data from an uploaded QAF into a complete, editable value stream with one click.The generated value stream must use all reliable manufacturing information contained in the QAF, including process steps, cycle times and all other usable process parameters.The resulting value stream must be immediately useful, understandable, traceable and easy to adjust using the value stream functionality already available in the application.Do not stop after producing a concept, Epic, architecture proposal or implementation plan.Analyze the existing implementation, identify gaps, implement the full functionality, test it with representative QAFs, correct all detected problems and validate the final user workflow autonomously.1. Primary User ObjectiveAfter uploading and analyzing one or more QAF files, the user must be able to select the manufacturing process data and create a value stream with one click.The entry point should be available wherever it is most intuitive after QAF analysis, for example:In the QAF upload result.In the manufacturing-cost analysis.In the process-step table.In the QAF comparison result.In the project context.Through a clear action such as:Als Wertstrom übernehmenor:Wertstrom aus Fertigungsschritten erstellenThe exact wording must follow the application language and design system.The user must not have to recreate all process steps manually.The application should automatically:Detect the manufacturing process sequence.Extract all reliable process steps.Preserve their original order.Transfer available process data.Create the value stream.Link it to the source QAF.Open the generated value stream in /Wertstrom.Allow immediate editing.Preserve source traceability.Clearly distinguish imported values from manually changed values.2. Binding Design PrincipleThe QAF is a structured source of manufacturing and cost information.The value stream is the operational and visual representation of this information.The integration must transform the QAF manufacturing structure into an editable value stream without losing the original source context.The governing principle is:Every reliable manufacturing attribute contained in the QAF should be transferred into the value stream when the value stream data model can represent it.If the current value stream data model cannot represent an important QAF field, do not silently discard the field.Instead:Extend the data model where this is technically and semantically appropriate.Store it in structured metadata if it should not become a primary value stream field.Display it in a process details panel.Preserve the source field for future use.Record why it was not mapped directly.3. Existing Functionality Must Be PreservedThe /Wertstrom module already exists and already allows users to create and modify value streams.Deeply inspect the current implementation before making changes.Identify:Current value stream data model.Current process-node structure.Current editing behavior.Current drag-and-drop behavior.Current process ordering.Current process creation workflow.Current process deletion workflow.Current connection logic.Current timing fields.Current stopwatch integration.Current manual-entry behavior.Current project linking.Current persistence logic.Current permissions.Current versioning behavior.Current export behavior.Current report behavior.Current mobile and tablet behavior.Current language support.Current tests.Do not remove or replace currently working functionality.The QAF integration must be additive.Manually created value streams must continue to work exactly as before.Existing value streams must remain readable and editable.4. Do Not Depend on One QAF TemplateThe implementation must not depend only on a worksheet named exactly:FertigungskostenThe manufacturing information may exist in semantically equivalent sheets such as:FertigungskostenManufacturing CostsManufacturing CostProduction CostsProduction CostLV Detail EULabor Value DetailManufacturing DetailProcess CostsIt may also exist in:Supplier-specific worksheets.Regional QAF templates.Hidden calculation sheets.Summary QAFs containing process-level detail.Multi-QAF files.Older QAF generations.Future QAF structures.Use the existing capability-based and semantic QAF parsing architecture.Do not require:A G60 classification.An INPUT worksheet.Numbered worksheets.A specific supplier.A specific project.A fixed cell range.A fixed row number.A fixed process count.A workbook should be eligible for value stream creation when reliable manufacturing process information is available.5. Full Existing-System AnalysisBefore implementing the new workflow, inspect the real codebase.Locate:QAF upload pipeline.QAF parser.Semantic sheet resolver.Manufacturing detail extractor.Variant detector.Manufacturing process normalizer.QAF comparison engine.Project model.Value stream model./Wertstrom routes.Value stream API.Value stream user interface.Process editor.Existing import functions.Existing stopwatch connection.Current database migrations.Current permissions.Existing test fixtures.Existing automated tests.Current error handling.Trace the complete data flow:QAF uploadQAF parsingmanufacturing extractioncanonical QAF modelanalysis resultuser actionvalue stream creationdatabase persistence/Wertstrom displaymanual editingDocument where the required information is currently:Available.Normalized.Lost.Discarded.Not forwarded.Not represented in the value stream model.Hidden by user interface logic.6. Process Extraction RequirementsExtract every reliable manufacturing process step from the QAF.For each step, capture where available:Original process name.Normalized process name.Process description.Process category.Process family.Assembly.Subassembly.Process sequence.Production location.Work center.Machine.Equipment description.Cycle time.Manual cycle time.Machine cycle time.Automatic cycle time.Waiting time.Transport time.Setup time.Changeover time.Parts per cycle.Number of operators.Direct labor count.Labor rate.Machine-hour rate.Machine cost.Labor cost.Process cost.Setup cost.Scrap rate.Scrap cost.Manufacturing overhead.Total process cost.Capacity.Availability.Utilization.Shift model.Working time.Batch size.Lot size.Variant applicability.Product quantity.Source currency.Original unit.Formula.Source workbook.Source worksheet.Source cell or range.Extraction confidence.Data-quality status.Do not assume that all fields are available in every QAF.Create the value stream using all reliably available fields.7. Process Sequence ReconstructionThe process sequence must be reconstructed accurately.Use combined evidence from:Row order.Explicit sequence numbers.Process identifiers.Formula relationships.Assembly grouping.Section hierarchy.Existing QAF process groups.Variant applicability.Known manufacturing semantics.Do not reorder processes alphabetically.Do not infer a new process sequence without evidence.When the sequence is ambiguous:Preserve the source order.Mark the sequence confidence.Warn the user in a non-blocking manner.Allow easy reordering in /Wertstrom.Support:Linear process sequences.Process groups.Parallel processes.Alternative variant paths.Shared processes.Variant-specific processes.Split flows.Merged flows.External processes.Supplier processes.Quality gates.Logistics steps.Waiting or buffer steps.If the existing value stream model only supports a linear sequence, analyze whether the model should be extended for branches.Do not implement misleading artificial linearization when the source clearly contains parallel or variant-specific flows.8. One-Click Value Stream CreationImplement a clear one-click creation workflow.The user action should:Identify the source QAF.Identify the selected variant or variants.Identify available manufacturing process data.Create a preview.Create the value stream after one clear confirmation where necessary.Navigate to the generated value stream.Preserve the source relationship.Prevent accidental duplicate creation.Provide understandable feedback.The process should require as few interactions as possible.A recommended workflow is:QAF analysis resultManufacturing process sectionCreate value streamPreview and variant selectionCreateOpen in /WertstromWhere the QAF contains only one clear variant and one clear process flow, creation may be possible without an additional configuration step.Where the QAF contains several variants or alternative manufacturing paths, the user must be able to select:One variant.Several variants.Lead variant.Shared base flow.Separate value streams for each variant.One combined value stream with variant-specific markers.Use intelligent defaults, but never hide meaningful variant differences.9. Preview Before CreationProvide a preview when it improves accuracy.The preview should show:Source QAF.Selected project.Selected variant.Number of detected process steps.Process sequence.Available process data.Missing fields.Ambiguous mappings.Processes excluded from import.Variant-specific processes.Common processes.Expected value stream name.The preview should allow:Selecting or deselecting process steps.Correcting process names.Choosing a variant.Choosing shared or separate value streams.Adjusting the initial order.Confirming the target project.Confirming the value stream name.Do not make the preview unnecessarily complex.The default workflow should remain fast.10. Automatic Value Stream NamingGenerate a useful default name from available information.Possible pattern:[Supplier] · [Project] · [Variant] · QAF Value Streamor in German:[Lieferant] · [Projekt] · [Variante] · QAF-WertstromUse only information that is actually available.The user must be able to modify the name before or after creation.Avoid technical filenames as the primary user-facing name unless no better metadata exists.Preserve the source filename separately.11. Mapping to the Value Stream ModelCreate a documented mapping between canonical QAF fields and value stream fields.Example:QAF field Value stream target Manufacturing process Process node name Process sequence Node order Assembly Process group Cycle time Cycle time Manual cycle time Manual time Machine cycle time Machine time Waiting time Waiting time Setup time Changeover time Operators Operator count Parts per cycle Batch or units per cycle Scrap rate Scrap rate Production location Location Machine Equipment Process cost Process cost Machine-hour rate Machine rate Labor rate Labor rate Variant applicability Variant metadata Source cell Source lineage Do not force semantically different values into the same field.For each mapping define:Source canonical field.Target value stream field.Conversion rule.Unit conversion.Scope.Confidence requirement.Conflict behavior.Missing-value behavior.Provenance handling.12. Unit and Time NormalizationQAF files may use different time units.Support at least:Seconds.Minutes.Hours.Seconds per unit.Minutes per unit.Time per cycle.Time per batch.Time per process.Values already divided by parts per cycle.Never assume a time unit based only on the numeric value.Use:Explicit unit fields.Header labels.Formula structure.Neighboring cells.Template patterns.Cross-checks against process costs.Store:Original value.Original unit.Normalized value.Normalized unit.Conversion rule.Use one consistent internal time unit.Display values according to the application's user experience and existing conventions.13. Cycle Time LogicCycle time is a central value stream field.For every process determine:Whether cycle time is explicitly available.Whether it is manual time.Whether it is machine time.Whether it is total process time.Whether several time components exist.Whether parts per cycle must be considered.Whether the value applies to one unit or one batch.Whether the process is shared across variants.Whether variant-specific cycle times exist.Whether the cycle time can be reconstructed reliably.Do not combine manual and machine time without a documented rule.Preserve the individual values where available.If the value stream uses only one primary cycle time, define a transparent selection rule and retain the source components in process details.14. Value-Added ClassificationUse the imported manufacturing information to support value-added analysis.Allow each process to be classified as:Value AddedNecessary Non-Value AddedNon-Value AddedUnknownIn German:WertschöpfendNotwendig, aber nicht wertschöpfendNicht wertschöpfendUngeklärtDo not automatically classify every manufacturing operation as value added.Create a conservative initial classification based on:Whether the process transforms the product.Whether the customer would recognize the transformation as valuable.Whether the step is required for legal, quality or technical reasons.Whether the step is transport, waiting, inspection, rework or storage.Whether sufficient evidence exists.Examples:Machining may be value added.Assembly may be value added.Waiting is generally non-value added.Transport is generally non-value added.Quality inspection may be necessary non-value added.Rework is generally non-value added.Cleaning may require contextual classification.Packaging may depend on the process purpose.When uncertain, use Unknown.The user must be able to change every classification easily.15. Automatic Value Stream AnalysisAfter creating the value stream, calculate and display useful indicators where sufficient data exists.Potential indicators:Total lead time.Total processing time.Total value-added time.Total non-value-added time.Value-added ratio.Total waiting time.Total transport time.Total setup time.Bottleneck cycle time.Bottleneck process.Process count.Average cycle time.Maximum cycle time.Minimum cycle time.Total operator count.Total process cost.Total scrap cost.Estimated capacity.Takt comparison where takt is available.Cycle-time variance across processes.Variant-specific differences.Process groups with high cost.Processes with incomplete data.Do not calculate an indicator when its required inputs are not reliable.Every indicator must show:Formula.Data basis.Included process steps.Excluded process steps.Unit.Confidence or data-quality state.16. Takt Time and Bottleneck AnalysisWhere production demand and available working time exist, calculate takt time.Use only verified data such as:Customer demand.Annual volume.Daily volume.Shift model.Working days.Net available time.Production hours.Do not invent missing operating-calendar assumptions.Where takt time cannot be calculated, allow the user to enter the missing assumptions manually.Compare every relevant process cycle time with takt time.Highlight:Processes below takt.Processes close to takt.Processes above takt.Bottlenecks.Missing cycle times.Variant-dependent bottlenecks.Use the existing application design system.17. QAF Source TraceabilityEvery imported process and field must retain exact source lineage.Store at least:Source QAF identifier.Source file name.Source file hash.Source worksheet.Source cell or range.Original field label.Original value.Original unit.Formula where applicable.Extraction timestamp.Parser version.Confidence.Selected variant.Import operation identifier.The user interface should provide a clear details function such as:Quelle anzeigenThe user must be able to understand where an imported value came from.Do not overload the main value stream visualization with source details.Use a side panel, tooltip or detail drawer.18. Imported Versus Manually Modified ValuesThe system must distinguish:Original imported value.Current editable value.Manually modified value.Reimported value.Derived value.Measured value.Stopwatch value.QAF source value.For each editable imported field retain:Original QAF value.Current value.Change status.Changed by.Changed at.Optional change reason.Use statuses such as:IMPORTED_UNCHANGEDMANUALLY_MODIFIEDMEASUREDDERIVEDSOURCE_UPDATEDCONFLICTThe user must be able to see that a value was modified after import without making the interface visually noisy.19. Easy EditabilityThe generated value stream must be easy to adjust.Users must be able to:Rename process steps.Reorder process steps.Add process steps.Remove process steps.Duplicate process steps.Group process steps.Split process steps.Merge process steps.Change cycle times.Change operator counts.Change process classifications.Add waiting times.Add transport times.Add buffers.Change process ownership.Add notes.Add pictures where already supported.Add measured values.Add stopwatch values.Mark assumptions.Filter by variant.Switch between variants.Save versions.Undo changes where supported.Preserve the current ease of use of the /Wertstrom module.The QAF import must not make manual editing more complicated.20. Stopwatch and Measured Data IntegrationThe application already contains stopwatch-related functionality.Analyze whether value stream steps can be connected to measured process data.Where this functionality already exists, preserve and improve it.A process step may contain:Imported QAF cycle time.Manually entered cycle time.Measured stopwatch cycle time.Average measured time.Minimum measured time.Maximum measured time.Number of measurements.Deviation from QAF time.Display differences clearly.Example:QAF cycle time: 42.0 sMeasured average: 48.6 sDifference: +6.6 sDifference: +15.7%Do not overwrite the QAF value with a measured value.Preserve both values and their provenance.Allow the user to choose which value is used for the current analysis.21. Reimport and SynchronizationAnalyze how the system should behave if:The same QAF is uploaded again.A newer QAF revision is uploaded.The source QAF is replaced.Process steps change.Process names change.Cycle times change.New processes are added.Processes are removed.The user has manually modified the value stream.Do not silently overwrite manual changes.Implement a controlled synchronization workflow.Possible statuses:UNCHANGEDSOURCE_CHANGEDLOCAL_CHANGEDBOTH_CHANGEDNEW_IN_SOURCEREMOVED_FROM_SOURCEProvide a clear comparison between:Existing value stream.New QAF source.Manual changes.Allow the user to:Apply all source updates.Apply selected updates.Keep local values.Create a new value stream version.Create a separate comparison copy.22. Duplicate PreventionPrevent accidental duplicate value streams.Before creation, check:Source QAF.Source file hash.Project.Variant.Existing value stream links.Previous import operations.If a matching value stream already exists, offer:Open existing value stream.Create a new version.Synchronize with the QAF.Create a separate copy.Do not block intentional duplicates.23. Multi-QAF and QAF Comparison IntegrationSupport QAF comparisons where manufacturing processes exist in both QAFs.Allow the user to create:Value stream from QAF A.Value stream from QAF B.Side-by-side value stream comparison.Combined comparison value stream.Delta view.Added-process view.Removed-process view.Changed-cycle-time view.Changed-cost view.Changed-location view.Where process matching exists, preserve it.Classify process changes as:UNCHANGEDRENAMEDMODIFIEDADDEDREMOVEDSPLITMERGEDREORDEREDLOCATION_CHANGEDAMBIGUOUSDo not require identical process names.Use semantic process matching and source sequence.24. Variant HandlingWhere a QAF contains several variants, support the following creation strategies:One value stream for one selected variant.Separate value streams for all variants.One shared base value stream.Shared base flow with variant-specific branches.Combined value stream with variant applicability tags.The user interface must make the selected strategy clear.Default behavior should depend on the source:Use one direct value stream when only one variant exists.Ask for variant selection when several materially different flows exist.Suggest a shared base flow when most steps are common.Suggest separate value streams when process sequences differ substantially.Do not force all variants into one misleading process flow.25. Permissions and Project ContextRespect existing permissions.Check:Who may create a value stream.Who may edit it.Who may delete it.Who may synchronize it.Who may view source QAF details.Who may access supplier-cost information.Which project the value stream belongs to.Whether visibility follows the QAF project.Whether administrative overrides exist.Do not expose confidential QAF data to users who do not have access to the source project.26. Auditability and VersioningEvery import must create an audit record.Record:User.Date and time.Source QAF.Source variant.Created value stream.Imported process count.Excluded process count.Warnings.Parser version.Mapping version.Import status.Manual corrections during preview.Support versioning where value streams already support it.If value stream versioning does not yet exist, analyze the minimum safe implementation required for:QAF reimport.Source changes.Manual changes.Comparison between versions.27. Error HandlingA single invalid process row must not block the complete value stream creation.Handle:Missing process name.Missing cycle time.Invalid numeric values.Unknown units.Formula errors.External-reference errors.Duplicate process rows.Ambiguous process order.Variant conflicts.Unsupported process attributes.Database errors.Navigation errors.Permission errors.Classify errors as:INFORMATIONWARNINGBLOCKING_ERRORCreate the value stream when sufficient reliable information exists.Clearly report partial import results.Example:18 process steps were imported.15 include cycle times.3 cycle times could not be resolved.2 source fields were retained as additional metadata.28. User Experience RequirementsThe workflow must be intuitive for a user who does not understand QAF parser architecture.The user should immediately understand:What will be created.Which QAF is used.Which variant is selected.How many processes will be imported.Which data is available.Which data is missing.Where the resulting value stream can be edited.Whether a value stream already exists.Use the existing SupplierPulse design system.Avoid:Technical parser terminology in the main user flow.Large configuration forms.Unnecessary confirmation dialogs.Unclear disabled buttons.Generic error messages.Hidden partial-import behavior.Technical details should remain available in an advanced details view.29. Suggested User FlowImplement or improve the following flow:Step 1: Upload QAFThe existing QAF upload and analysis runs.Step 2: Detect manufacturing capabilityThe system identifies whether reliable manufacturing process data exists.Step 3: Display value stream actionWhen manufacturing data exists, show:Wertstrom erstellenWhen data is partially available, still show the action and explain the available coverage.Step 4: Select variant and modeOnly show this step when needed.Options may include:Selected variant.Lead variant.All variants separately.Shared base flow.Combined flow with variant tags.Step 5: PreviewShow process steps, order, available values and warnings.Step 6: CreatePersist the value stream and source lineage.Step 7: Open /WertstromOpen the newly created value stream directly in edit mode.Step 8: Analyze and adjustAllow immediate changes, classification and stopwatch comparison.30. Data ModelDesign a clean and extensible data model.Possible entities include:ValueStreamValueStreamProcessValueStreamProcessSourceValueStreamImportValueStreamVariantValueStreamMetricValueStreamVersionValueStreamSourceSyncA ValueStream should contain where appropriate:ID.Name.Project ID.Supplier.Source type.Source QAF ID.Source workbook hash.Selected variant.Status.Created by.Created at.Updated at.Version.Analysis settings.A ValueStreamProcess should contain where appropriate:ID.Value stream ID.Sequence.Name.Canonical name.Description.Assembly.Process category.Value-added classification.Cycle time.Manual time.Machine time.Waiting time.Transport time.Setup time.Parts per cycle.Operator count.Machine.Location.Process cost.Scrap rate.Variant applicability.Editable metadata.Source status.Current analysis value selection.A ValueStreamProcessSource should contain:Source QAF ID.Workbook hash.Worksheet.Cell or range.Original label.Original value.Original unit.Formula.Confidence.Import timestamp.Parser version.Mapping rule.Adapt the final design to the existing application architecture.Do not create unnecessary entities when existing models can be extended safely.31. API and Service DesignCreate a clear service boundary.Possible services:QafManufacturingCapabilityServiceQafProcessExtractionServiceValueStreamImportPreviewServiceQafToValueStreamMapperValueStreamCreationServiceValueStreamSourceLineageServiceV alueStreamSynchronizationServiceValueStreamAnalysisServicePotential API operations:GET manufacturing capabilityPOST generate import previewPOST create value stream from QAFGET source lineagePOST synchronize with QAFGET synchronization differencesPOST apply selected source updatesUse the current project's API conventions.Ensure:Idempotency where appropriate.Transactional creation.Permission validation.Structured error responses.Audit logging.Input validation.Protection against duplicate actions.32. Autonomous Code ImplementationAfter understanding the existing architecture:Create the necessary technical design.Implement backend changes.Implement database changes.Implement migrations.Implement frontend changes.Implement source-lineage support.Implement partial import.Implement variant selection.Implement preview.Implement navigation to /Wertstrom.Implement duplicate handling.Implement synchronization where within scope.Add automated tests.Run the complete quality gate.Correct all detected failures.Do not stop after generating tickets.If the work is too large for one atomic change, divide it into technically safe phases but continue implementing them autonomously.33. Test StrategyCreate comprehensive automated tests.33.1 QAF detection testsTest:Fertigungskosten.Manufacturing Costs.LV Detail EU.Supplier-specific manufacturing sheets.Summary QAF with detailed process rows.QAF without INPUT.QAF without numbered sheets.Multi-QAF.Hidden manufacturing sheet.Unknown but detectable manufacturing structure.33.2 Process extraction testsTest:Process names.Process order.Cycle times.Parts per cycle.Operator counts.Machine rates.Labor rates.Setup times.Scrap.Costs.Locations.Variant applicability.Missing values.Formula errors.Unknown units.33.3 Mapping testsTest:Correct QAF-to-value-stream mapping.Unit conversion.Scope preservation.Source lineage.Shared values.Variant-specific values.Derived values.Unsupported field retention.33.4 Creation workflow testsTest:One-click creation.Preview.Single variant.Multiple variants.Shared flow.Separate flows.Duplicate detection.Navigation to /Wertstrom.Permissions.Transaction rollback.33.5 Editing testsTest:Rename process.Reorder process.Add process.Delete process.Edit cycle time.Change classification.Preserve source value.Mark manual change.Save and reload.Existing manual value streams.33.6 Synchronization testsTest:Same QAF uploaded again.New QAF version.Changed cycle time.Added process.Removed process.Renamed process.Local change only.Source change only.Both source and local change.Selective update.33.7 Analysis testsTest:Total process time.Value-added time.Non-value-added time.Value-added ratio.Bottleneck.Takt comparison.Missing input handling.Variant-specific analysis.Process-cost total.Scrap-cost total.33.8 Regression testsVerify:Existing QAF analysis remains functional.Existing QAF comparison remains functional.Existing Multi-QAF comparison remains functional.Existing /Wertstrom manual creation remains functional.Existing stopwatch functionality remains functional.Existing value streams remain editable.Existing permissions remain correct.Existing exports remain functional.34. Representative QAF ValidationTest the implementation with representative files from the QAF corpus.Select examples covering:Different suppliers.Different worksheet names.Different QAF generations.Different languages.Different regions.Different variant structures.Different process counts.Summary QAFs.Detailed QAFs.Multi-QAFs.QAFs with incomplete process data.QAFs with formula errors.QAFs with hidden sheets.QAFs with process-level costs.QAFs with cycle times but no global master data.For every tested workbook report:Detected manufacturing capability.Detected process count.Imported process count.Process-order accuracy.Cycle-time coverage.Additional-field coverage.Missing-field reasons.Value stream creation result.Editing result.Source-lineage result.Analysis result.Errors and warnings.35. Quality MetricsMeasure at least:Manufacturing Capability Detection RateManufacturing Process Detection CoverageProcess Sequence AccuracyCycle Time CoverageOperator Data CoverageMachine Data CoverageSetup Data CoverageCost Data CoverageVariant Applicability CoverageSource Traceability RateValue Stream Creation Success RatePartial Import Success RateDuplicate Prevention AccuracySynchronization AccuracyEditing Regression Pass RateQAF Regression Pass RateValue Stream Regression Pass RateDo not report only averages.Also report:Minimum.Median.Mean.Maximum.Worst-performing QAFs.Worst-performing QAF families.Unknown-pattern results.Remaining parser-not-implemented cases.36. Performance RequirementsThe one-click workflow must feel responsive.Avoid reparsing the complete workbook unnecessarily.Use cached canonical QAF results where valid.Cache identity should consider:Source file hash.Parser version.Canonical schema version.Mapping version.Code version.Value stream creation must be transactional.A partial database failure must not leave an incomplete value stream without an explicit status.37. Security RequirementsValidate:Project access.Source QAF access.Value stream create permission.Value stream edit permission.Cost-data visibility.Source-lineage visibility.API authorization.Cross-project access.Input sanitization.Audit logging.Do not expose source QAF values through an IDOR or incorrect project relationship.38. Required DeliverablesProduce at least:reports/qaf-value-stream-current-state.mdreports/qaf-value-stream-gap-analysis.mdreports/qaf-value-stream-architecture.mdreports/qaf-value-stream-field-mapping.mdreports/qaf- value-stream-ux-flow.mdreports/qaf-value-stream-test-results.mdreports/qaf-value-stream-validation-results.mdreports/qaf-value-stream-regression-results.mdreports/qaf-value-stream- unresolved-limitations.mdAlso produce machine-readable artifacts where appropriate:schemas/qaf-value-stream-import.schema.jsonschemas/value-stream-process-source.schema.jsonmappings/qaf-to-value-stream-mapping.yamlDocument:Modified files.New files.Database migrations.New services.New APIs.New UI components.New tests.Test results.Remaining limitations.Rollback considerations.39. Required Final ReportDeliver the final report in German.Structure it as follows:A. Executive SummaryExplain:What was implemented.How the user workflow works.Which QAF structures are supported.Which manufacturing values are transferred.How editable the generated value stream is.How source traceability works.How value-added analysis is generated.Which limitations remain.B. Current-State AnalysisExplain the previous architecture and identified gaps.C. Implemented ArchitectureExplain:Manufacturing capability detection.Process extraction.QAF-to-value-stream mapping.Value stream creation.Source lineage.Partial imports.Variant handling.Synchronization.D. User ExperienceShow the complete user flow.E. Field MappingShow every mapped QAF field and its value stream target.F. Test ResultsShow:Unit tests.Integration tests.Regression tests.Representative QAF tests.User-flow tests.Permission tests.Performance results.G. Before and AfterCompare the previous manual workflow with the new one-click workflow.H. Remaining LimitationsDo not hide unresolved problems.40. Non-Negotiable Acceptance CriteriaThe task is complete only when:A user can create a value stream from an analyzed QAF with one clear action.Manufacturing sheets are detected semantically.The feature does not require a G60 QAF.The feature does not require an INPUT sheet.The feature does not require numbered detail sheets.Process steps are imported in the correct source order.Cycle times are imported wherever reliably available.Additional process attributes are imported wherever reliably available.Partial process data does not block value stream creation.Missing values have explicit reasons.Multi-variant QAFs are handled transparently.The user can edit the complete generated value stream.Imported values remain traceable to the QAF source.Manual changes do not destroy original source values.Existing manual value streams continue to work.Existing QAF analysis continues to work.Existing QAF comparison continues to work.Existing Multi-QAF functionality continues to work.Existing stopwatch functionality continues to work.Existing permissions remain correct.Duplicate imports are handled safely.Reimport does not silently overwrite manual changes.Value-added and non-value-added classifications are editable.Value stream indicators are calculated only from reliable inputs.Every calculated indicator has a transparent formula and data basis.Unknown QAF structures do not fail silently.All important QAF fields that cannot be mapped are retained as structured metadata or explicitly reported.No values are fabricated.Automated tests protect the complete workflow.Representative QAFs successfully create editable value streams.The repository passes the complete quality gate.The final implementation and results are documented reproducibly.41. Autonomous Execution LoopExecute the following loop:Locate the relevant repository.Inspect Git state and existing changes.Analyze the current QAF pipeline.Analyze the current /Wertstrom implementation.Trace the complete existing data flow.Identify reusable functionality.Identify data loss and mapping gaps.Define the canonical QAF-to-value-stream mapping.Define the source-lineage model.Define the user workflow.Implement backend services.Implement data-model changes.Implement migrations.Implement API changes.Implement frontend changes.Implement preview.Implement variant handling.Implement one-click creation.Implement source traceability.Implement partial import.Implement editing-state preservation.Implement duplicate handling.Implement synchronization where required.Add automated tests.Run representative QAF files.Run regression tests.Test the complete user workflow.Test permissions.Test performance.Correct all generalizable failures.Run the complete quality gate.Generate final documentation.Verify every acceptance criterion.Record the final reproducible state.Continue until all acceptance criteria are fulfilled or a remaining issue requires a genuine domain decision that cannot be derived from the codebase or QAF evidence.Do not stop after writing an Epic.Do not stop after producing an implementation plan.Do not ask for confirmation when the repository, QAF files and existing application provide enough evidence to proceed safely.Begin by analyzing the existing QAF manufacturing extraction and the current /Wertstrom data model, then trace precisely which extracted QAF fields can already be reused and which extensions are required.Corpus-Based Learning for the Optimal Value Stream RepresentationUse the approximately 374 QAF files already available in the corpus as a comprehensive reference and learning base for designing the most accurate, useful and professional value stream representation.Do not derive the visual and functional design from only one QAF, one supplier, one template family or one manufacturing-cost worksheet.Analyze the complete corpus to identify recurring and exceptional patterns, including:Typical manufacturing process sequences.Different process hierarchies and assembly groups.Different naming conventions for equivalent process steps.Different cycle-time structures and units.Manual, machine and combined process times.Variant-specific and shared process flows.Parallel, split and merged manufacturing paths.Process cost structures.Operator, machine, setup, scrap and capacity information.Quality, inspection, transport, waiting and logistics steps.Different regional, supplier-specific and historical QAF structures.Fields that are frequently available and fields that occur only in rare QAF variants.Use these findings to learn which information is most relevant for a clear and professional value stream and how it should be presented.Derive reusable visualization and interaction patterns from representative QAF examples, but do not copy individual files or hardcode supplier-specific layouts.The resulting value stream representation must:Work across the observed QAF families.Adapt dynamically to the data capabilities of each workbook.Show the most relevant information without becoming overloaded.Preserve access to additional details through expandable process information.Represent common process flows clearly.Support exceptional, parallel and variant-specific flows.Remain editable after automatic generation.Distinguish source data, derived data, measured data and manual changes.Retain every relevant field that cannot be shown directly as structured process metadata.Generalize to future QAF structures that were not part of the original corpus.Select representative examples from every major corpus cluster and use them to validate the value stream design.Include at least:Simple linear process flows.Complex manufacturing chains.Multi-variant QAFs.QAFs with parallel processes.QAFs with incomplete process data.QAFs with extensive cycle-time and cost information.QAFs with alternative sheet names such as Fertigungskosten, Manufacturing Costs or LV Detail EU.Rare and structurally unusual QAFs.Do not optimize the value stream only for the most common template.The final design must be validated against representative development, validation, holdout and challenge QAFs from the corpus.Document:Which corpus patterns influenced the design.Which QAF examples were selected for validation.Which information is shown directly on the value stream.Which information is available in process details.Which exceptional structures required adaptive visualization.Which corpus patterns are not yet fully supported.The 374 QAFs must therefore be used not only to improve extraction accuracy, but also to learn, validate and continuously refine the optimal value stream structure, visual hierarchy and user interaction.