{"schema_version":1,"research_id":"eoa_inverse_innovation_exp05_external_evaluation_20260803","source_assessment_id":"deadweight_loss_reduction__robotics_automation:P1:v0","cell_id":"deadweight_loss_reduction__robotics_automation","search_queries":["robot safety validation testing cell scheduling shared resource idle reservations manufacturing","robotics safety validation bottleneck factory commissioning ISO 10218 validation","equipment booking system waitlist cancellation shared laboratory reservations official","manufacturing test lab scheduling reservations reallocation idle capacity research","site:osha.gov industrial robots safety hazards validation robot systems","site:cdc.gov/niosh industrial robots workplace fatalities 61 1992 2015","ISO 10218-2:2025 official robot applications verification validation","site:.edu shared equipment reservation cancellation no show waitlist core facility policy","shared core facility equipment booking cancellation waitlist policy university","iLab reservation cancellation policy core facility no show equipment","equipment booking waitlist automatically notify cancellation facility official documentation","manufacturing shared test equipment scheduling waitlist reservation expiration","site:bls.gov/ooh industrial engineers median pay 2025 occupational health safety specialists software developers","BLS employer costs employee compensation December 2025 private industry per hour","2026 equipment scheduling software pricing labarchives scheduler","robot safety engineer consultant hourly rate validation cell 2026","factory robot safety validation cell capacity bottleneck scheduling case study manufacturer","industrial robot commissioning validation delays manufacturer safety engineer case study","shared test cell scheduling manufacturing company case study robot","automotive robot validation facility scheduling slots","\"Integrating Reservations and Queuing in Remote Laboratory Scheduling\" DOI"],"sources":[{"source_id":"S1","title":"Robotics—Overview","publisher":"U.S. Occupational Safety and Health Administration","url":"https://www.osha.gov/robotics","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2022","accessed_at":"2026-08-03","claims_supported":["Industrial robots perform hazardous and repetitive manufacturing work.","Many robot accidents occur during non-routine programming, maintenance, testing, setup, or adjustment when workers may enter the robot work envelope.","There is no robotics-specific OSHA standard, so applicable OSHA requirements and consensus standards must be considered."]},{"source_id":"S2","title":"Robotics in the Workplace: An Overview","publisher":"National Institute for Occupational Safety and Health, U.S. Centers for Disease Control and Prevention","url":"https://www.cdc.gov/niosh/robotics/about/index.html","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2024-02-09","accessed_at":"2026-08-03","claims_supported":["NIOSH identified 41 U.S. robot-related occupational fatalities during 1992–2017.","Robot hazards include struck-by, caught-between, crushing, trapping, and electrical hazards.","Safety professionals must continually ensure robot use does not create additional risks."]},{"source_id":"S3","title":"ISO 10218-2:2025—Robotics—Safety requirements—Part 2: Industrial robot applications and robot cells","publisher":"International Organization for Standardization","url":"https://www.iso.org/standard/73934.html","source_class":"STANDARD","publication_date":"2025-02","accessed_at":"2026-08-03","claims_supported":["The current international standard addresses industrial robot application and cell integration, commissioning, operation, maintenance, and decommissioning.","The standard is intended for manufacturers, integrators, users, safety bodies, and regulators.","The intervention cannot treat substantive safety integration and commissioning requirements as discretionary scheduling friction."]},{"source_id":"S4","title":"Safety Verification and Validation","publisher":"Polytron, Inc.","url":"https://polytron.com/resourcesinsights/case-study-safety-verification-and-validation/","source_class":"COMMERCIAL_FIRST_PARTY","publication_date":"n.d.","accessed_at":"2026-08-03","claims_supported":["A beverage-manufacturing project experienced pressure to commission quickly while satisfying company safety requirements across machinery from multiple vendors.","The senior project manager reported insufficient internal time for labor-intensive safety verification and validation and sought a dedicated third-party partner.","The case identifies the senior project manager and company safety leads as relevant adopter and authorization roles, although the client organization is not named.","The case supports the importance of reducing validation-related delay without weakening safety, but does not document fixed departmental reservations or slot reallocation."]},{"source_id":"S5","title":"Time-aware Test Case Execution Scheduling for Cyber-Physical Systems","publisher":"arXiv; authors Morten Mossige, Arnaud Gotlieb, Helge Spieker, Hein Meling, and Mats Carlsson","url":"https://arxiv.org/abs/1902.04627","source_class":"PRIMARY_RESEARCH","publication_date":"2019-02-12","accessed_at":"2026-08-03","claims_supported":["Industrial-robot testing commonly involves target machines sharing costly hardware resources.","Manual test planning can leave robots unoccupied for long periods and tests unexecuted.","A constraint-programming scheduler represented machines, tests, and shared-resource constraints and scheduled 500 test cases over 100 machines in under four minutes for 99.5% of evaluated instances.","Constraint-respecting shadow scheduling is technically plausible, but this work does not study safety-validation reservations, departmental entitlements, access floors, or organizational adoption."]},{"source_id":"S6","title":"Integrating Reservations and Queuing in Remote Laboratory Scheduling","publisher":"ERIC, Institute of Education Sciences, summarizing IEEE Transactions on Learning Technologies 6(1)","url":"https://eric.ed.gov/?id=EJ1016719","source_class":"AUTHORITATIVE_SECONDARY","publication_date":"2013","accessed_at":"2026-08-03","claims_supported":["Hybrid reservation-and-queue scheduling for scarce shared laboratory resources was studied by 2013.","The reported objective was to reduce waiting and improve utilization and per-use cost.","Combining reservations with a queue is established adjacent prior art rather than a novel intervention class."]},{"source_id":"S7","title":"iLab Schedule Settings","publisher":"Agilent Technologies iLab Operations Software","url":"https://help.ilab.agilent.com/37446-managing-schedule-equipment/266098-editing-equipment.html","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"n.d.","accessed_at":"2026-08-03","claims_supported":["Commercial shared-equipment scheduling already supports permission groups, staff approval, reservation lead-time rules, cancellation windows, rebooking of canceled time, setup buffers, and reporting.","Administrators can configure a no-show abandonment time after which a reservation opens to other authorized users when walk-ups are allowed.","Existing configurable scheduling practice substantially overlaps expiring reservations and qualified reuse; the candidate's remaining difference is the departmental entitlement context, readiness-gated ranking, access floor, safety-reviewer constraints, and comparative replay."]},{"source_id":"S8","title":"Employer Costs for Employee Compensation—March 2026","publisher":"U.S. Bureau of Labor Statistics","url":"https://www.bls.gov/news.release/archives/ecec_06122026.pdf","source_class":"OFFICIAL_ORGANIZATION_DATA","publication_date":"2026-06-12","accessed_at":"2026-08-03","claims_supported":["Average private-industry employer compensation was $46.60 per hour in March 2026.","Private-industry total compensation was $34.78 per hour at the median wage percentile and $89.70 at the 90th percentile.","These economy-wide labor figures provide a resource-equivalent anchor but are not quotes for specialized robot-safety, integration, or consulting work."]}],"problem_evidence":{"support":"MODERATE","rationale":"The broader problem visibly exists: industrial-robot tests share costly resources, manual planning can leave robots idle and tests unexecuted, and manufacturers report labor-intensive safety validation contributing to commissioning delay. Safety consequences matter because testing is a hazardous non-routine condition and NIOSH reports robot-related fatalities. No source verifies the proposal's exact local causal pattern—fixed, nontransferable departmental reservations coexisting with validation-ready demand and genuinely usable cell-and-reviewer capacity—so prevalence and magnitude remain unmeasured.","source_ids":["S1","S2","S4","S5"]},"stakeholder_evidence":{"support":"MODERATE","rationale":"Polytron documents expressed demand from a beverage manufacturer's senior project manager for faster, adequately resourced safety verification and validation, with company safety leads participating. ISO identifies robot users, integrators, safety bodies, and regulators as responsible stakeholders. However, the manufacturer is anonymous, no plant has requested the proposed reallocation rule, and the plant operations manager's and EHS owner's authority over departmental slot entitlements is not externally verified.","source_ids":["S3","S4"]},"prior_art":{"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"Agilent iLab configurable shared-equipment scheduling","similarity":"Supports authorized-user groups, staff approvals, cancellation cutoffs, release for rebooking, setup buffers, reporting, and automatic opening of abandoned reservations—most of the candidate's reservation-expiry plumbing.","remaining_difference":"The documentation does not show nontransferable departmental entitlements, a validation-readiness gate, operationally weighted ranking, a rolling departmental access floor, safety-reviewer workload logic, or comparison against fixed reservations in an industrial robot safety-validation cell.","source_ids":["S7"]},{"name":"Hybrid reservations and queuing for remote laboratories","similarity":"Combines reservations and queues for scarce shared laboratory resources to improve utilization and waiting time.","remaining_difference":"It concerns remote educational laboratories and does not preserve industrial robot safety controls, allocate departmental entitlements, or test fairness and reviewer-load safeguards.","source_ids":["S6"]},{"name":"TC-Sched industrial-robot test scheduling","similarity":"Schedules industrial-robot tests across machines and shared costly resources using explicit constraints; directly addresses idle robots and unexecuted tests under manual scheduling.","remaining_difference":"It schedules software test cases rather than expiring organizational reservations and does not address qualified safety reviewers, access floors, priority inflation, or governance authority.","source_ids":["S5"]},{"name":"Polytron coordinated machine-safety verification and validation","similarity":"Addresses manufacturer demand to reduce commissioning disruption while retaining company safety requirements and qualified validation.","remaining_difference":"The remedy is dedicated third-party validation management, not reallocation of existing validation-cell reservations.","source_ids":["S4"]}],"distinctive_claim_remaining":"For a plant where usable cell-and-qualified-reviewer capacity demonstrably coexists with readiness-complete waiting jobs, an expiry cutoff plus a readiness-gated, auditable priority rule and rolling departmental access floor will outperform both fixed departmental reservations and a simpler expiry-plus-first-qualified-claimant rule on usable idle slot-hours and eligible queue time, without changing any safety criterion, exceeding a prespecified reviewer-load or schedule-churn bound, or breaching the access floor. The claim is falsified if the coexistence condition is absent, the proposed rule produces no additional feasible validation or queue-time reduction relative to either comparator, or any gain depends on weaker safety controls or unacceptable burden or access loss.","confidence":"HIGH"},"implementation_evidence":{"support":"MODERATE","rationale":"Technical feasibility is credible: industrial-robot test scheduling has been demonstrated with explicit shared-resource constraints, and commercial scheduling software already implements permissions, approval, cutoff, rebooking, buffer, abandonment, and reporting primitives. A read-only replay poses little direct operational risk. Important gaps remain: availability and quality of readiness timestamps, reviewer calendars, fixture/isolation records, duration estimates and departmental ownership data; integration and cybersecurity requirements; manipulation-resistant priority inputs; applicable labor/privacy rules; and written plant authority. Live use must preserve ISO-aligned integration and commissioning controls, independent safety stop authority, workload limits, and rollback.","source_ids":["S1","S3","S5","S7"]},"scores":{"meaningful_impact":{"score":3,"rationale":"Validation delay and idle testing capacity can affect commissioning, downtime, and continued manual work, while robot safety is consequential. The exact wedge's frequency and recoverable value are unknown.","source_ids":["S1","S2","S4","S5"]},"stakeholder_pull":{"score":2,"rationale":"A manufacturer-side project manager expressed demand for timely, adequately resourced validation, but no identified plant or funder has requested the proposed reservation redesign.","source_ids":["S4"]},"incremental_advantage":{"score":2,"rationale":"Automatic expiry/rebooking, permissioned access, queues, and constraint-based robot-test scheduling already exist. Advantage over a simple qualified FCFS release rule is only a testable hypothesis.","source_ids":["S5","S6","S7"]},"distinctiveness_plausibility":{"score":2,"rationale":"The safety-preserving departmental access floor and incidence-aware ranking are a narrower combination not found in these sources, but the central scheduling mechanisms substantially collide with prior art.","source_ids":["S5","S6","S7"]},"technical_implementability":{"score":4,"rationale":"The read-only replay is computationally and operationally straightforward if logs exist; both research and commercial products demonstrate the necessary scheduling primitives.","source_ids":["S5","S7"]},"adoption_authority_feasibility":{"score":3,"rationale":"Plant operations and safety-process owners are plausible internal authorities, and safety leads participate in comparable validation projects. Their actual authority over departmental entitlements and labor/privacy obligations must be documented locally.","source_ids":["S3","S4"]},"evidence_readiness":{"score":3,"rationale":"The proposed outcomes can be reconstructed from booking, readiness, reviewer, and execution records, but external sources do not establish that a candidate plant retains complete, consistently timestamped data.","source_ids":["S5","S7"]},"safety_net_benefit":{"score":3,"rationale":"Earlier safe validation could reduce delayed automation, downtime, and prolonged manual activity, but the net worker effect is unmeasured and higher utilization could increase reviewer exposure or rushed preparation.","source_ids":["S1","S2","S4"]},"scalability":{"score":3,"rationale":"Scheduling software and replay methods are reusable, but readiness definitions, priority legitimacy, safety workflow, access floors, and authority are plant-specific.","source_ids":["S3","S5","S7"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"10K_TO_50K","scope":"Prespecify definitions; extract and clean eight weeks of one-cell booking, readiness, reviewer, fixture, cancellation, and execution records; build three shadow schedules; manually adjudicate ambiguous intervals; and report incidence and sensitivity ranges.","confidence":"MODERATE","assumptions":["Approximately 120–300 combined hours from an analyst or industrial engineer, scheduler, automation engineer, safety owner, and departmental reviewers.","Existing records can be exported without building a new production integration.","Resource-equivalent labor is valued above BLS economy-wide compensation to allow for specialized staff, overhead, and limited contractor support.","No robot operation or reservation is changed."],"source_ids":["S5","S7","S8"]},"initial_deployment_startup":{"band_2026_usd":"50K_TO_250K","scope":"After favorable replay evidence, configure or extend the scheduler, implement readiness and permission rules, integrate authoritative data, complete cybersecurity/privacy review, write governance and rollback procedures, test audit logs, and train one-cell users.","confidence":"LOW","assumptions":["One plant and one validation cell.","Existing enterprise identity, scheduling, and data systems can be reused.","Custom priority and access-floor logic requires limited integration rather than a new enterprise platform.","Qualified safety engineering and IT/security review are included; hardware-capacity expansion is excluded."],"source_ids":["S3","S7","S8"]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"Operate a time-limited one-cell pilot with parallel monitoring, scheduler and safety-owner coverage, incident review, departmental appeals, measurement, independent compliance checks, and automatic rollback.","confidence":"LOW","assumptions":["Roughly three to six months of bounded pilot operation.","No additional robot cell, reviewer headcount, or substantive validation redesign.","Costs include staff backfill, training, monitoring, and contingency but exclude production-loss benefits or harms.","A live pilot begins only after written operations and safety approval."],"source_ids":["S1","S3","S4","S8"]},"annual_recurring":{"band_2026_usd":"10K_TO_50K","scope":"One-cell software administration, policy review, audit-log retention, quarterly incidence and gaming review, access-floor monitoring, user support, and periodic safety-owner review after adoption.","confidence":"LOW","assumptions":["Approximately 150–400 staff hours annually plus a modest software or support allocation.","No dedicated full-time scheduler is added.","Plant-wide scaling, major integration maintenance, third-party certification, and production downtime are excluded."],"source_ids":["S7","S8"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"UNCERTAIN","reason":"Shared-resource industrial-robot testing, idle robots under manual scheduling, and validation-related commissioning delay are externally supported, but the exact fixed-departmental-reservation wedge and its prevalence are not.","source_ids":["S4","S5"]},"externally_credible_adopter_or_authorizer":{"status":"UNCERTAIN","reason":"A manufacturer senior project manager and safety leads are credible comparable roles with expressed need, but the client is anonymous and no externally identified plant has requested or authorized this allocation change.","source_ids":["S3","S4"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal can be compared directly against fixed reservations and the established simpler combination of expiry/rebooking with a qualified FCFS queue while holding safety and reviewer constraints constant.","source_ids":["S5","S6","S7"]},"bounded_next_evidence_step":{"status":"YES","reason":"An eight-week, one-cell, read-only audit and three-policy replay is bounded, reversible, comparator-based, and has explicit problem and intervention falsifiers.","source_ids":["S5","S7"]},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The authorized next step is read-only and does not change robot operations, concurrency, qualifications, or acceptance criteria. Any live pilot remains contingent on written plant-operations and safety-owner authority.","source_ids":["S1","S3"]},"credible_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The four scopes are bounded and labor costs have a current official anchor, but no plant-specific implementation estimate, vendor quote, data-integration assessment, or specialized safety-engineering rate was found.","source_ids":["S7","S8"]}},"next_evidence_step":"With a named plant sponsor and safety owner, lock an eight-week retrospective window for one validation cell and prespecify 'usable slot,' 'readiness complete,' reviewer availability, duration fit, churn, workload, and departmental access measures. Independently classify each interval, with a scheduler and safety-owner audit of ambiguous cases. Replay three policies under identical concurrency, reviewer, fixture, isolation, setup, duration, and safety constraints: A) current fixed departmental reservations; B) expiry followed by first-qualified-claimant allocation, representing the closest established cancellation-and-queue practice; and C) the proposed expiry, audited priority factors, and rolling access floor. Report usable idle slot-hours, feasible completed validations, eligible queue-time distribution, reviewer hours and peaks, schedule changes, preparation failures, and department-level gains and losses with sensitivity cases. The problem is falsified if no usable interval coexists with a readiness-complete waiting job or entitlement never blocks prompt reuse. Incremental advantage is falsified if C does not improve at least one primary allocation outcome without worsening the other relative to both A and B, or if it breaches any safety, reviewer-load, churn, or access-floor threshold. Do not change a live booking during this study.","blocking_evidence":["No direct evidence that any plant has the stated fixed, nontransferable departmental reservation rule.","No measured prevalence or magnitude of usable-but-idle robot safety-validation capacity coexisting with validation-ready demand.","No named plant adopter, written operations authority, safety-owner concurrence, or data-access commitment.","Unknown completeness and timestamp integrity of booking, cancellation, readiness, reviewer, fixture, isolation, duration, execution, and departmental-access records.","No evidence that weighted priority plus an access floor outperforms a simpler qualified FCFS reuse rule.","No observed effects on reviewer load, schedule churn, preparation failures, priority inflation, access incidence, or downstream commissioning congestion.","No plant-specific legal, labor, privacy, cybersecurity, records-retention, or grievance review.","No plant-specific resource quote or integration estimate."],"research_disposition":"PROBLEM_PREVALENCE_STUDY","world_novelty_boundary":"This eight-source search found substantial adjacent and domain prior art for hybrid reservations and queues, automatic release and rebooking of canceled or abandoned equipment reservations, permissioned approvals, and constraint-based scheduling of industrial-robot tests. It did not establish that the exact combination of departmental expiry, readiness gating, auditable operational ranking, rolling access floor, and safety-preserving one-cell replay exists or does not exist elsewhere. World novelty, patentability, freedom to operate, market size, and realized impact remain unmeasured.","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_version":0,"controller_recommendation":{"action":"STOP_EMPIRICAL_RESEARCH_NEEDED","repairable":false,"material_progress_observed":false,"progress_targets":["Obtain a named plant-operations sponsor, robot-validation process owner, and EHS owner with written authority and data access for a read-only study.","Produce an audited eight-week dataset demonstrating or falsifying coexistence of usable cell-and-reviewer capacity with readiness-complete waiting demand.","Compare fixed reservations, simple expiry-plus-qualified-FCFS reuse, and the proposed ranked/access-floor rule under identical safety and resource constraints.","Prespecify and secure safety-owner approval for readiness, reviewer-load, schedule-churn, access-floor, gaming, halt, and rollback thresholds.","Show department-level incidence and demonstrate incremental allocation benefit over the simple prior-art comparator; otherwise adopt or diffuse established scheduling practice rather than develop the proposed rule.","Obtain plant-specific integration, cybersecurity, legal, labor, privacy, and cost assessments before any live pilot."],"reason":"Bounded web research establishes that the general problem is plausible and important, but it cannot verify the candidate's plant-specific entitlement wedge, data quality, local authority, incidence, or incremental effect over established release-and-queue scheduling. The decisive next evidence requires proprietary operational records and stakeholder adjudication; any later live claim would require controlled field testing. Under the controller rule, that requires STOP_EMPIRICAL_RESEARCH_NEEDED with repairable set to false."},"proposal_index":1}