{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"deadweight_loss_reduction__engineering_design","trajectory_id":"R","attempt_index":0,"archetype_slug":"deadweight_loss_reduction","domain_slug":"engineering_design","decision":"CANDIDATE","problem_id":"flat_booking_wedge_in_shared_validation_facilities","causal_lever_id":"scarcity_weighted_internal_booking_credits","proposal":{"problem":"Shared engineering validation facilities such as environmental chambers, wind tunnels, or hardware-in-the-loop rigs are sometimes allocated through flat-cost, first-come reservations. Teams can retain scarce peak slots regardless of urgency while other slots remain unattractive or unused, delaying high-value validation even when aggregate capacity may be adequate. Whether this occurs in a given facility is a HYPOTHESIS requiring booking-log evidence.","actors_substrate":["engineering teams requesting validation time","facility operators and schedulers","product and safety programs awaiting test evidence","workers or customers exposed to inadequately validated designs","shared capacity-limited validation equipment"],"observable_state":"Booking logs show simultaneous peak-period queues or long lead times, low off-peak utilization, retained or late-cancelled reservations, and materially different project-delay costs among requests (HYPOTHESIS).","consequence":"A coarse allocation rule can strand usable capacity and ration valuable test access by waiting or booking tactics rather than time sensitivity, increasing development delay without improving validation safety.","affected_objective":"Reduce validation lead time and idle facility-hours while preserving mandatory test coverage, safety precedence, equitable access, and equipment operating limits.","structural_mapping":[{"archetype_element":"value-blocking wedge","domain_realization":"Flat booking cost and first-come priority make peak and slack facility-hours equivalent to requesters despite unequal scarcity.","claim_kind":"HYPOTHESIS"},{"archetype_element":"foregone beneficial activity","domain_realization":"Time-sensitive validation waits while lower-urgency work occupies peak slots and suitable off-peak capacity remains unused.","claim_kind":"HYPOTHESIS"},{"archetype_element":"protected purpose","domain_realization":"Mandatory verification, safety-critical precedence, fair access, operator staffing, maintenance, and equipment limits remain hard constraints.","claim_kind":"INFERENCE"},{"archetype_element":"incidence","domain_realization":"Retiming benefits flexible teams but may burden small teams, shift workers, urgent programs, and facility staff.","claim_kind":"INFERENCE"},{"archetype_element":"redesign","domain_realization":"Use scarcity-weighted, noncash booking credits with protected priority classes, cancellation release, and off-peak discounts.","claim_kind":"HYPOTHESIS"},{"archetype_element":"bounded learning loop","domain_realization":"Pilot on one non-safety-critical facility and revert automatically if access, safety, or workload guardrails fail.","claim_kind":"INFERENCE"}],"component_map":[{"component":"Distortion Map","status":"direct","domain_realization":"Trace reservation rules to queues, idle periods, cancellations, and delayed tests."},{"component":"Protected Constraint Safeguard","status":"direct","domain_realization":"Hard-code mandatory tests, safety precedence, operating envelopes, maintenance, and accessibility."},{"component":"Surplus Estimate","status":"adapted","domain_realization":"Estimate avoided delay and recovered usable hours as ranges, not monetized certainty."},{"component":"Affected-Party Incidence Map","status":"direct","domain_realization":"Record effects on each team, operators, downstream programs, and exposed parties."},{"component":"Redesign Lever","status":"adapted","domain_realization":"Vary internal booking-credit charges by forecast scarcity and release unused slots."},{"component":"Distributional Review","status":"direct","domain_realization":"Check whether small or inflexible teams lose effective access."},{"component":"Behavioral Response Model","status":"direct","domain_realization":"Predict retiming, slot splitting, speculative booking, cancellations, and demand rebound."},{"component":"Implementation Boundary","status":"direct","domain_realization":"Limit the pilot to one facility, eligible test classes, and a fixed evaluation window."},{"component":"Monitoring and Rebound Check","status":"direct","domain_realization":"Monitor utilization, lead time, cancellations, access shares, operator load, and test quality."},{"component":"Rollback or Adjustment Rule","status":"direct","domain_realization":"Restore the prior queue and cancel credit changes when guardrails trip."},{"component":"Cost–Benefit Assessment Frame","status":"adapted","domain_realization":"Compare recovered hours and delay reduction with administration, access, staffing, and risk costs."},{"component":"Price-Wedge Diagnostic","status":"adapted","domain_realization":"Test whether a flat internal credit price, rather than raw undersupply, causes timing mismatch."},{"component":"Friction Source Breakdown","status":"direct","domain_realization":"Separate booking-rule effects from setup time, staffing, outages, and review delays."},{"component":"Compensating Adjustment Plan","status":"adapted","domain_realization":"Provide protected credit allocations and staffed alternatives for constrained teams."},{"component":"Legitimacy and Authority Review","status":"direct","domain_realization":"Confirm facility governance may change allocation but not waive program or safety requirements."},{"component":"Sensitivity Analysis","status":"direct","domain_realization":"Vary delay values, demand elasticity, scarcity bands, and off-peak usability."},{"component":"Pilot or Sunset Path","status":"direct","domain_realization":"Run a time-boxed pilot that expires unless evidence supports renewal."}],"mechanism_dispositions":[{"slug":"congestion_or_capacity_pricing_adjustment","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Translate money prices into scarcity-weighted internal credits; retain protected priority classes.","counterfactual_removal":"Without scarcity-varying access cost, the intervention lacks its proposed retiming and self-sorting lever."},{"slug":"cost_benefit_assessment_protocol","disposition":"selected_supporting","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Use range-based delay and capacity comparisons plus distributional costs.","counterfactual_removal":"The pilot could still operate, but adoption would lack a defensible net-benefit and incidence decision."},{"slug":"distortion_reduction_review","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Require evidence separating allocation distortion from genuine capacity, staffing, or safety constraints.","counterfactual_removal":"The team could price an actual shortage or protective constraint, invalidating the causal diagnosis."},{"slug":"impact_assessment_table","disposition":"selected_supporting","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Track team-level access, operator burden, protected interests, and trip signals.","counterfactual_removal":"Aggregate utilization could conceal concentrated exclusion or workload transfer."},{"slug":"matching_improvement_program","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Rejected unless evidence shows compatible requests and slots cannot find one another.","counterfactual_removal":"No material change to the hypothesized flat-allocation causal chain."},{"slug":"permit_or_approval_streamlining","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Approval delay is outside the target booking wedge and must be measured separately.","counterfactual_removal":"Reservation scarcity and timing incentives remain unchanged."},{"slug":"price_control_redesign","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"There is no administered external sale price or protected consumer price to reset.","counterfactual_removal":"Internal scarcity-credit design remains viable."},{"slug":"quota_or_allocation_rule_review","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Nearest rival if stale entitlements, not timing response, explain misallocation.","counterfactual_removal":"No change unless entitlement evidence displaces the proposed diagnosis."},{"slug":"regulatory_simplification_pilot","disposition":"selected_supporting","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Adapt to a reversible operational pilot without relaxing substantive validation rules.","counterfactual_removal":"A test remains conceivable, but uncertainty about access and safety effects would hard-gate deployment."},{"slug":"sunset_clause_review","disposition":"selected_supporting","contribution_type":"OPERATIONAL","adaptation_or_rejection":"Apply automatic expiry to the pilot scheduling rule, not to safety requirements.","counterfactual_removal":"The pilot could persist through inertia, weakening reversibility."},{"slug":"tariff_fee_or_toll_redesign","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"No authority-imposed external charge requiring revenue or externality decomposition is posited.","counterfactual_removal":"The internal booking-credit mechanism is unaffected."}],"causal_chain":["Flat-cost first-come booking suppresses the scarcity difference between peak and slack hours.","Flexible requests therefore have little incentive to move, and speculative peak reservations remain attractive.","Scarcity-weighted credits plus cancellation release make flexible peak use more costly while leaving slack access inexpensive.","Protected priority classes prevent safety-critical or mandatory work from being displaced by willingness or ability to spend credits.","Some flexible demand retimes, freeing peak slots and using otherwise idle compatible hours (HYPOTHESIS).","If diagnosis and response hold, lead time falls without reducing required validation coverage (HYPOTHESIS)."],"baseline":"Continue flat-cost, first-come booking with manual escalation for exceptional requests.","nearest_rival":"Review and reassign fixed quotas or priority entitlements; this is superior if stale ownership rather than time-insensitive booking incentives causes the mismatch.","authority_safety":{"affected_parties":["requesting engineering teams","facility operators","safety and quality owners","downstream programs","people relying on validated products"],"decision_authority":"The facility owner may authorize a scheduling pilot with approval from safety, quality, workforce, and affected-program representatives; it may not alter mandatory validation requirements.","authorized_first_step":"Analyze twelve months of de-identified booking, utilization, cancellation, outage, staffing, and lead-time records, then run a four-week shadow-price simulation followed, only if guardrails pass, by an eight-week pilot on one non-safety-critical facility.","excluded_actions":["waiving required tests or acceptance criteria","auctioning safety-critical precedence","charging employees personal money","expanding hours without staffing and fatigue review","making the rule permanent before evaluation"],"halt_rollback":"Immediately restore baseline allocation if required testing is delayed, access concentration breaches a pre-agreed bound, operator overtime or safety events increase materially, test quality declines, or the pilot cannot distinguish rule effects from outages and staffing changes."}},"negative_tests":{"strongest_counterevidence":"Peak queues may reflect an absolute shortage, specialized fixtures, setup dependencies, staffing limits, or correlated program milestones; low nominal utilization may be unusable downtime rather than allocable slack.","analogy_break":"Internal credits need not represent social or engineering value, and safety-critical validation is not an ordinary exchange: priority can be categorical, dependencies can make hours non-substitutable, and strategic credit use can reproduce hierarchy rather than reveal value.","failure_condition":"The design fails if scarcity bands cannot be forecast, requests cannot retime, credit budgets encode organizational power, or protected classes consume most capacity and leave no adjustable margin.","problem_falsifier":"After controlling for outages, setup, staffing, compatibility, and mandatory priority, booking-rule variables do not predict queueing or idle usable capacity, or demand consistently exceeds usable capacity in every period.","intervention_falsifier":"In shadow simulation and pilot, scarcity-weighted credits do not increase usable off-peak utilization or reduce priority-adjusted lead time relative to a matched baseline, or they worsen required-test timeliness, access concentration, operator burden, gaming, or test quality.","risks":["Teams may inflate urgency or split requests to evade scarcity charges.","Credit allocations may favor larger programs and convert budget power into access.","Demand may rebound and recreate congestion at newly discounted periods.","Retiming may shift fatigue, childcare, or staffing burdens to operators.","Utilization gains may encourage erosion of maintenance or safety buffers.","Observed improvement may reflect project-cycle changes rather than the allocation rule."]},"null_rationale":null,"classification":{"candidate_kind":"MECHANISM_ADAPTATION","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. The candidate depends on demonstrating usable off-peak capacity and incentive-driven timing mismatch; otherwise raw capacity expansion, staffing repair, matching, or quota review is the better intervention."}