{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp04_retrieval_first_paired20_20260802","cell_id":"layer_decay_and_expiration_management__logistics_supply_chain","arm":"PROPOSAL_FIRST","candidate_id":"pf_expiring_shipment_override_ledger_v0","hypothesis_id":null,"version":0,"title":"Expiring Control-Override Ledger for Shipment Planning","problem":"Transportation and inventory planners sequentially add temporary control overrides—disruption reroutes, carrier exclusions, warehouse capacity caps, inventory reservations, customs holds, and expedited-service instructions—on top of ordinary planning rules. When these deposits lack explicit owners, ages, expiry conditions, dependencies, and supersession states, yesterday's exceptional constraints can remain active after their operating context has ended. Planners cannot safely remove them because some still support open shipments, investigations, contractual commitments, or plan reconstruction.","actors":["transportation planners","inventory planners","warehouse operations managers","carrier-management teams","customer-service teams","trade-compliance staff","internal auditors","customers awaiting affected orders"],"observable_state":"For each planning override, the control system can expose its identity, creation time, author and owner, stated reason, affected orders, SKUs, facilities and lanes, last activation, current references, superseding override, retention class, exception hold, and lifecycle state. The problematic state is an active population containing old or unused overrides with missing owners, elapsed incident windows, contradicted assumptions, or superseding rules, alongside overrides whose dependencies are unknown.","consequence":"Stale overrides may continue excluding feasible carriers, reserving unavailable or unneeded inventory, constraining warehouses, or forcing premium service. They can therefore produce avoidable plan infeasibility, manual replanning, delayed fulfillment, stranded inventory, premium-freight decisions, and uncertainty about why a shipment plan was generated. Undifferentiated cleanup can instead remove constraints still needed for execution, audit, dispute resolution, or reconstruction.","affected_objective":"Keep the active shipment-planning rule stack bounded, interpretable, and aligned with current operating conditions while preserving execution dependencies, compliance holds, audit evidence, and the ability to reconstruct prior plans.","intervention":"Add a lifecycle ledger around shipment-planning overrides. Stamp each new override with an owner, reason, scope, retention class, review date, and proposed expiry action. Inventory existing overrides; detect stale context; rank candidates for review using age, last activation, reconstruction value, and operational risk; and route each candidate to refresh, supersede, deactivate, archive, or retain-by-exception. Before deactivation, trace references from open shipments, reservations, investigations, reports, and reconstruction workflows. Approved removals first enter a reversible quarantine and leave a tombstone pointing to any successor. Archived samples are periodically restored and replayed in a non-production planning environment.","structural_mapping":[{"archetype_element":"Sequentially accumulated layers","domain_realization":"Temporary shipment-planning overrides deposited over time on top of base routing, allocation, capacity, and service rules."},{"archetype_element":"Changed active usefulness or validity","domain_realization":"A disruption ends, an order closes, capacity returns, a carrier becomes eligible again, or a later override supersedes the earlier instruction."},{"archetype_element":"Stale layers remain active by default","domain_realization":"Overrides continue participating in optimization or planner decision support because no explicit expiry transition was recorded."},{"archetype_element":"Different retention and risk classes","domain_realization":"Routine short-lived operational overrides, trade-compliance holds, customer commitments, incident evidence, and plan-reconstruction records require different lifecycles."},{"archetype_element":"Dependency and reconstruction risk","domain_realization":"Open shipments, inventory reservations, settlement disputes, audit reports, and historical plan replays may still reference an override."},{"archetype_element":"Differentiated disposition paths","domain_realization":"Refresh, supersede, deactivate, archive, quarantine, or preserve under a named exception rather than treating expiry as immediate destruction."},{"archetype_element":"Deletion evidence survives cleanup","domain_realization":"A separate decision record and tombstone preserve who changed the override, why, when, and which successor now governs."},{"archetype_element":"Periodic revalidation","domain_realization":"Owners reassess retained exceptions, expiry rules, archived replayability, and unresolved dependencies at a fixed cadence."}],"mechanism_mapping":[{"mechanism_slug":"stale_layer_detection_dashboard","role":"Maintains the override inventory and surfaces rules whose owner, factual premise, incident, affected scope, or supersession relationship indicates possible staleness; it recommends review but takes no action.","counterfactual_removal":"Without it, lifecycle decisions revert to scattered searches or age-only lists, so semantically obsolete but recently edited overrides can remain invisible."},{"mechanism_slug":"age_weighted_value_score","role":"Ranks review candidates by combining age decay with last activation, operational risk, provenance, and reconstruction value; thresholds create review bands but never authorize removal.","counterfactual_removal":"Without it, reviewers lack a consistent way to order a large mixed backlog, although individual overrides could still be reviewed manually."},{"mechanism_slug":"retention_schedule","role":"Assigns override classes minimum and maximum retention periods, disposition paths, and preservation or compliance overrides.","counterfactual_removal":"Without it, scores and expiry dates have no shared governance basis, and teams can apply inconsistent retention decisions."},{"mechanism_slug":"dependency_safe_delete_check","role":"Blocks deactivation or destruction while an open shipment, reservation, investigation, report, contractual commitment, or reconstruction path still depends on the override.","counterfactual_removal":"Without this gate, a low-value or expired override could be removed while still load-bearing."},{"mechanism_slug":"soft_delete_quarantine_window","role":"Hides an approved override from new planning runs while retaining a restorable copy for a grace period sized to estimated operational impact.","counterfactual_removal":"Without quarantine, an incorrect lifecycle decision becomes immediately irreversible and is harder to test safely."},{"mechanism_slug":"tombstone_or_deletion_marker","role":"Keeps the removed override's identity, disposition reason, timestamp, and successor reference resolvable after active removal.","counterfactual_removal":"Without the marker, old plan references become ambiguous and replicated rule copies may be mistaken for valid active instructions."},{"mechanism_slug":"archive_restore_test","role":"Samples archived overrides across classes and ages, restores them, and tests whether a historical plan can still interpret or replay them in a non-production environment.","counterfactual_removal":"Without an exercised restore path, archiving preserves only an unverified possibility of reconstruction."}],"causal_chain":["Temporary operating conditions cause planners to deposit additional overrides on the shipment-planning stack.","The ledger makes each deposit's identity, scope, age, owner, dependencies, retention obligation, and lifecycle state inspectable.","Stale-context signals and age-weighted value rank overrides for review without changing production behavior.","The retention schedule and named exception register determine which candidates may proceed and which must remain preserved.","A live dependency trace blocks candidates still required by execution, compliance, disputes, reporting, or reconstruction.","Authorized candidates are refreshed, superseded, archived, or deactivated; deactivated overrides first enter reversible quarantine and leave tombstones.","Removing expired overrides from active planning prevents them from continuing to constrain new plans while archives and decision records preserve historical interpretation.","Repeated review and archive-restore tests prevent hidden permanent holds and untested archives from recreating an unbounded, unusable stack."],"baseline":"Planners create overrides through tickets, spreadsheets, email instructions, or planning-system fields; remove conspicuous ones during incident closeout or periodic housekeeping; and otherwise leave them active when ownership, downstream use, or retention obligations are uncertain.","nearest_rivals":["A quarterly manual override review is the strongest rival: owners inspect old rules and remove obvious candidates, but the process may lack continuous inventory, explicit lifecycle states, dependency gates, reversible quarantine, and tested reconstruction.","A conventional rule-priority engine resolves which conflicting instruction wins during planning, but it does not determine whether an old instruction should remain active, be archived, or expire.","Master-data governance can validate current carrier, lane, facility, and SKU attributes, but temporary operational overrides may sit outside those master-data records and require event-specific retention and reconstruction handling."],"remaining_contrastive_claim":"Relative to the strongest rival, the proposal's testable contrast is not merely more frequent review: it couples explicit per-override lifecycle states with live dependency blocking, differentiated disposition, reversible deactivation, durable deletion evidence, and exercised restoration. Whether that coupling improves decisions must be tested; prior art and comparative performance are unsearched.","authority_safety":{"decision_authority":"The transportation-control owner may approve pilot metadata, rankings, and non-production simulations. Production deactivation requires the override's accountable business owner plus the relevant operations manager; trade-compliance, legal-hold, safety, or active-dispute flags require release by their designated authority. The score and dashboard have no decision authority.","authorized_first_step":"Create a read-only inventory for one facility-to-region planning scope, classify a bounded sample, trace dependencies, and simulate proposed dispositions against copied historical plans without changing live overrides.","excluded_actions":["automatic production deletion or deactivation","hard deletion during the evidence step","overriding a legal, compliance, safety, contractual, or dispute hold","altering open shipments, reservations, carrier tenders, or customer promises","treating an age-weighted score as approval","testing restoration by replaying archived rules into production"],"halt_rollback":"Halt if inventory extraction affects planning performance, scopes rules incorrectly, exposes restricted shipment data, or dependency results conflict with system owners. Because the first step is read-only, rollback consists of disabling the pilot views and deleting only the pilot's derived working copies under existing data-handling authority; source overrides remain unchanged. Any later quarantine pilot must support immediate owner-authorized restoration and pause on a changed plan outcome."},"negative_tests":{"strongest_counterevidence":"A dependency-aware review of the sampled population finds that nearly all apparently stale overrides are already inactive, are correctly superseded by the planning engine, or must remain accessible and active for current operations; simulated dispositions produce no meaningful change in plan interpretation or reviewer workload.","problem_falsifier":"The problem is falsified for the pilot scope if overrides do not accumulate as persistent layers, their active status and ownership are already explicit, obsolete overrides cannot influence new plans, and operators can reconstruct historical decisions without uncertainty.","intervention_falsifier":"The intervention is falsified if lifecycle classification and dependency tracing cannot reliably distinguish safe candidates from load-bearing overrides, or if quarantining high-confidence candidates causes unacceptable plan differences, investigation gaps, or restoration failures compared with the baseline review process.","risks":["False staleness signals could direct attention toward valid low-frequency contingency rules.","Incomplete dependency maps could label a rule orphaned while an external partner, spreadsheet, scheduled job, or runtime string reference still uses it.","Composite scoring could create false precision or encode disputed priorities.","Extra metadata and approvals could slow urgent override creation or discourage accurate recording.","Quarantined information may still conflict with hard-deletion obligations.","Archive sampling may miss unreadable formats or age bands.","Tombstones and exception holds could themselves accumulate without expiry and recreate the original problem.","Historical simulations may not reproduce every production interaction, so a safe replay is not proof of safe deactivation." ]},"next_evidence_step":"Within one facility-to-region scope, select at most 100 overrides spanning age bands and override classes. For four weeks, build a read-only lifecycle ledger; have two planners independently label current usefulness and proposed disposition; trace references to open operational and audit objects; and replay the previous eight weeks of copied plans with high-confidence candidates omitted in a non-production environment. Record inventory coverage, ownership completeness, reviewer agreement, blocked dependencies, changed plan decisions, time required, and whether ten sampled archived overrides can be restored and interpreted. No production override is changed.","prior_art_status":"UNSEARCHED","revision_record":{"parent_version":null,"progress_targets_addressed":["Produce one complete proposal-first reverse-innovation candidate.","Preserve the layer-decay archetype's causal structure in logistics and supply-chain control.","Specify actors, observable state, consequence, mechanisms, causal chain, rivals, authority, safeguards, falsifiers, and a bounded evidence step."],"conceptual_changes":["Initial version; instantiated accumulated layers as temporary shipment-planning control overrides rather than physical inventory or generic records."],"operational_changes":["Initial version; limited the first evidence step to one planning scope, at most 100 overrides, four weeks, historical copies, and non-production replay."],"evidence_changes":["Initial version; no external evidence or prior-art search used."],"claim_changes":["Initial version; makes no claim of novelty, prevalence, demand, effect size, or superiority."]}}