{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"deadweight_loss_reduction__operations_research","trajectory_id":"R","attempt_index":0,"archetype_slug":"deadweight_loss_reduction","domain_slug":"operations_research","decision":"CANDIDATE","problem_id":"stale_hard_constraints_block_resource_allocation","causal_lever_id":"tiered_constraint_relaxation_with_safeguards","proposal":{"problem":"HYPOTHESIS: Resource-allocation models can retain stale, coarse, or overly conservative hard constraints that exclude operationally acceptable assignments. The recognizable state is simultaneous backlog or unmet demand and idle or low-value capacity even though some blocked assignments could satisfy the constraint's legitimate purpose through narrower safeguards.","actors_substrate":["resource claimants and affected service recipients","operations planners and dispatchers","optimization-model owners","safety, legal, and fairness authorities","indirectly exposed parties","finite resources, jobs, eligibility data, and the solver's feasible set"],"observable_state":"Repeated optimization runs leave capacity idle or assign it to lower-priority uses while eligible-seeming demand remains unmet; constraint-level diagnostics identify a small set of hard rules excluding the alternative assignments.","consequence":"Potentially beneficial assignments are never evaluated, creating avoidable delay, underuse, substitution, or rejected demand while concealing who benefits from and bears each restriction.","affected_objective":"Increase priority-weighted fulfilled demand and capacity utilization without degrading safety, legality, minimum-access guarantees, distributional acceptability, or operational stability.","structural_mapping":[{"archetype_element":"value-blocking wedge","domain_realization":"A hard eligibility, reserve, compatibility, or allocation constraint removes assignments from the solver's feasible set.","claim_kind":"HYPOTHESIS"},{"archetype_element":"blocked beneficial activity","domain_realization":"Operationally acceptable resource-job assignments are not considered despite unmet demand and available capacity.","claim_kind":"HYPOTHESIS"},{"archetype_element":"protected purpose","domain_realization":"The constraint may encode physical feasibility, safety, law, fairness, resilience, or reserved access and therefore cannot simply be deleted.","claim_kind":"INFERENCE"},{"archetype_element":"distortion versus protection split","domain_realization":"Constraint provenance and exception evidence distinguish indispensable limits from conservative proxies or stale scope.","claim_kind":"HYPOTHESIS"},{"archetype_element":"redesign lever","domain_realization":"Convert only validated proxy constraints into tiered rules: hard core, bounded exception, or penalized soft constraint with authority escalation.","claim_kind":"HYPOTHESIS"},{"archetype_element":"incidence and behavioral response","domain_realization":"Compare service gains, displaced assignments, strategic reclassification, demand growth, and exposure changes by affected group.","claim_kind":"INFERENCE"},{"archetype_element":"bounded implementation","domain_realization":"Replay frozen historical instances first, then permit any live pilot only for preapproved low-consequence cases with automatic reversion.","claim_kind":"HYPOTHESIS"}],"component_map":[{"component":"Distortion Map","status":"direct","domain_realization":"Trace each binding hard constraint to excluded assignments, unmet demand, and idle or lower-value capacity."},{"component":"Protected Constraint Safeguard","status":"direct","domain_realization":"Freeze physical, legal, safety, and minimum-access requirements unless their owning authority approves an equivalent safeguard."},{"component":"Surplus Estimate","status":"adapted","domain_realization":"Estimate additional priority-weighted service, delay avoided, and capacity recovered, with uncertainty rather than monetary precision alone."},{"component":"Affected-Party Incidence Map","status":"direct","domain_realization":"Record gains, displacement, exposure, and protected interests for every claimant and indirectly affected group."},{"component":"Redesign Lever","status":"adapted","domain_realization":"Replace selected coarse hard rules with narrower hard cores, bounded exceptions, or penalty-backed soft constraints."},{"component":"Distributional Review","status":"direct","domain_realization":"Test group-specific service levels, displacement, and loss of reserved access, not merely total objective improvement."},{"component":"Behavioral Response Model","status":"direct","domain_realization":"Simulate reclassification, new demand, gaming, congestion transfer, and planner overrides after relaxation."},{"component":"Implementation Boundary","status":"direct","domain_realization":"Limit eligible constraints, cases, horizon, exposure, approvers, and maximum exception volume."},{"component":"Monitoring and Rebound Check","status":"direct","domain_realization":"Monitor utilization, backlog, violations, overrides, group service, displacement, demand rebound, and downstream failures."},{"component":"Rollback or Adjustment Rule","status":"direct","domain_realization":"Restore the prior constraint version automatically when a protected threshold or exposure bound is crossed."},{"component":"Cost–Benefit Assessment Frame","status":"adapted","domain_realization":"Compare recovered service with transition, review, risk, displacement, and failure costs."},{"component":"Price-Wedge Diagnostic","status":"adapted","domain_realization":"Explicitly test and reject a price or congestion cause before attributing loss to the feasible-set restriction."},{"component":"Friction Source Breakdown","status":"adapted","domain_realization":"Decompose blocked assignments by constraint provenance, data quality, model approximation, and implementation practice."},{"component":"Compensating Adjustment Plan","status":"adapted","domain_realization":"Preserve service floors, priority guarantees, or transitional reserves for parties losing protection under a revised rule."},{"component":"Legitimacy and Authority Review","status":"direct","domain_realization":"Identify who owns each constraint and who may authorize exceptions or revisions."},{"component":"Sensitivity Analysis","status":"direct","domain_realization":"Vary demand, priorities, penalties, failure costs, and uncertain feasibility assumptions."},{"component":"Pilot or Sunset Path","status":"direct","domain_realization":"Use offline replay, a scoped live pilot if approved, and scheduled reauthorization of relaxed constraints."}],"mechanism_dispositions":[{"slug":"congestion_or_capacity_pricing_adjustment","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"The proposed wedge is a nonprice feasible-set restriction; variable pricing would reallocate scarcity without admitting blocked assignments.","counterfactual_removal":"No material change; the causal chain does not depend on pricing."},{"slug":"cost_benefit_assessment_protocol","disposition":"selected_supporting","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Compare recovered service with review, transition, displacement, and risk costs under sensitivity analysis.","counterfactual_removal":"The optimization gain could be reported without a defensible full-welfare acceptance criterion."},{"slug":"distortion_reduction_review","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Audit binding constraints, excluded assignments, provenance, protected purpose, and recoverable objective loss.","counterfactual_removal":"There would be no basis for distinguishing avoidable model restriction from legitimate feasibility."},{"slug":"impact_assessment_table","disposition":"selected_supporting","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Render group-level gains, displacement, safeguards, uncertainty, and halt indicators in a common register.","counterfactual_removal":"Aggregate objective improvement could conceal concentrated access loss or risk."},{"slug":"matching_improvement_program","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Candidate pairings are assumed discoverable but excluded by constraints; market thickness or search is not the primary diagnosis.","counterfactual_removal":"No material change unless the audit instead identifies missing candidate generation."},{"slug":"permit_or_approval_streamlining","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"The bottleneck is modeled eligibility rather than serial permission-processing delay.","counterfactual_removal":"No material change to feasible-set redesign."},{"slug":"price_control_redesign","disposition":"incompatible","contribution_type":"NONE","adaptation_or_rejection":"No administered price, cap, floor, or subsidy is posited.","counterfactual_removal":"No effect."},{"slug":"quota_or_allocation_rule_review","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Adapt quota review to separate legitimate capacity limits from stale rules assigning capacity among claimants.","counterfactual_removal":"The proposal would not supply the rule-specific lever that reopens excluded assignments."},{"slug":"regulatory_simplification_pilot","disposition":"selected_load_bearing","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Adapt its walled-off, monitored, expiring test structure to constraint relaxation, beginning with offline replay.","counterfactual_removal":"A live change would lack the bounded and reversible evidence path required for authorization."},{"slug":"sunset_clause_review","disposition":"selected_supporting","contribution_type":"OPERATIONAL","adaptation_or_rejection":"Require revised proxy constraints to be periodically revalidated against current conditions and authority.","counterfactual_removal":"The initial repair remains possible, but revised constraints could again become stale by default."},{"slug":"tariff_fee_or_toll_redesign","disposition":"incompatible","contribution_type":"NONE","adaptation_or_rejection":"The target restriction is not an authority-imposed charge.","counterfactual_removal":"No effect."}],"causal_chain":["A coarse or stale rule is encoded as a hard constraint.","The solver excludes all assignments violating that proxy, including potentially acceptable cases.","Unmet demand coexists with idle or lower-value capacity because excluded assignments cannot compete in the objective.","An audit separates non-negotiable feasibility from conservatism, stale scope, or proxy error.","Only the avoidable portion becomes a bounded exception or penalized soft constraint with retained service and safety floors.","The expanded feasible set permits comparison of previously blocked assignments.","Offline replay tests whether recovered service survives incidence, sensitivity, and protected-outcome checks.","Authority may approve a reversible live pilot only if the precommitted tests pass."],"baseline":"Keep every current hard constraint unchanged, optimize only within the existing feasible set, and handle shortages or infeasibility through manual expedites, rejection, or added capacity.","nearest_rival":"Improve forecasts, objective weights, solver performance, or candidate matching while leaving the feasible set unchanged; this helps only if poor prediction or search, rather than a stale constraint, causes the observed loss.","authority_safety":{"affected_parties":["claimants gaining access","claimants displaced or losing reserved access","operators implementing assignments","people exposed to safety or service failures","model owners and accountable authorities"],"decision_authority":"The operational owner may run offline analysis; only the authority owning the affected safety, legal, fairness, or allocation rule may approve its relaxation and any live pilot.","authorized_first_step":"Replay a fixed sample of historical planning instances in shadow mode, relaxing one preselected proxy constraint at a time; make no live assignments or policy changes.","excluded_actions":["Deleting physical, legal, safety, or rights constraints without owner approval","Deploying solver recommendations to live operations during the offline test","Using aggregate objective gain to waive group service floors","Expanding scope automatically after favorable results","Treating a soft-constraint penalty as permission to violate an absolute prohibition"],"halt_rollback":"Do not proceed to live testing if provenance is unresolved, protected outcomes cannot be measured, or incidence is unacceptable. During an approved pilot, halt and restore the versioned prior constraint set upon any protected-threshold breach, unauthorized case, excessive displacement, or monitoring failure."}},"negative_tests":{"strongest_counterevidence":"A constraint-by-constraint audit shows the binding rules correspond directly to physical, legal, safety, or deliberately distributive requirements, or shadow relaxation yields no meaningful service gain after full downstream feasibility is imposed.","analogy_break":"A mathematical constraint is not necessarily a policy wedge: it may represent reality itself. An assignment made feasible by relaxing the model can remain impossible or illegitimate in the operating system.","failure_condition":"The redesign increases the modeled objective mainly by shifting harm outside the model, eroding access guarantees, inducing strategic reclassification, or creating downstream congestion and failures.","problem_falsifier":"The proposed problem is falsified if unmet demand and idle capacity disappear after data correction or candidate-generation repair, persist when suspect constraints are safely relaxed, or are explained by genuine indivisible scarcity rather than excluded feasible assignments.","intervention_falsifier":"The intervention is falsified if preregistered shadow replay and any authorized pilot show no material improvement in priority-weighted fulfilled demand, or show protected-outcome, distributional, stability, or downstream-cost deterioration beyond approved bounds.","risks":["Proxy relaxation admits assignments that are mathematically feasible but operationally unsafe.","Objective weights misstate social value and favor measurable claimants.","Soft penalties normalize prohibited exceptions.","Historical replay understates demand rebound and gaming.","Protected groups lose reserved access through aggregate optimization.","Operators cannot reliably execute the more complex exception rules.","Monitoring gaps delay detection of downstream harm."]},"null_rationale":null,"classification":{"candidate_kind":"MECHANISM_COMPOSITION","prior_art_status":"UNSEARCHED","evidence_maturity":"HYPOTHESIS"},"revision_change_log":{"revision_kind":"ORIGINAL","prior_problem_id":null,"prior_causal_lever_id":null,"problem_changed":false,"causal_lever_changed":false,"conceptual_changes":[],"operational_changes":[],"repairs_addressed":[]},"confidence":0.78,"generator_notes":"Closed-book structural inference from the supplied archetype, domain context, and mechanisms; no prior-art claim is made."}