Industry Vocabulary Reference

Manufacturing, Supply Chain & Logistics

Comprehensive enumeration library for the Manufacturing, Supply Chain & Logistics vertical. Covers every subdomain where agentic AI is actively deployed as of March 2026: ISA-95 job order and work centre lifecycle, OEE monitoring, physical AI and robotics governance (ISO 10218-2, ISO/TS 15066), OT/ICS cybersecurity zone management (IEC 62443), GS1-based supply chain event tracking, product recall and lifecycle management, customs and trade compliance, predictive maintenance, quality management (ISO 9001 / AS9100), and regulatory reporting for product safety and environmental compliance. Designed for use as OTel span attributes in an agentic AI SDK and as policy vocabulary in an OPA Rego GRC portal.

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How to use this reference

1. Start with the core file if you need the cross-industry governance baseline.
2. Then move into the vertical file to see the regulated workflow vocabulary, policy surfaces, and implementation pressure unique to this market.
3. Use the OTel attributes and policy paths here as the common language across SDK instrumentation, governance review, and evidence export.

March 2026 deployment context

As of March 2026, agentic AI in manufacturing and supply chain is deployed across: autonomous production scheduling and job order management (ISA-95 MOM integration via OPC UA), collaborative robot (cobot) supervision and dynamic task assignment (ISO/TS 15066 force/speed limiting), digital twin-driven predictive maintenance with autonomous work order generation, vision inspection AI for automated quality control and defect classification, AI-driven supply chain risk monitoring and alternate sourcing (UFLPA compliance, CSRD scope 3 traceability), autonomous customs classification and trade compliance document generation, AI-powered OEE optimisation closing the Plan-Do-Check-Act loop, OT/ICS security monitoring agents applying IEC 62443 security level enforcement, and product recall orchestration agents triggered by regulatory notifications. The EU Machinery Regulation (2023/1230) applies from January 20, 2027 and significantly expands AI system requirements for safety-component AI in machinery. The EU AI Act Annex I explicitly includes AI systems used as safety components of machinery as high-risk AI. The EU Product Liability Directive (2024/2853) entered force December 2024 — manufacturers are liable for AI-integrated product defects including software updates.

Risk note: The EU Machinery Regulation (2023/1230) replaces the Machinery Directive effective January 20, 2027. AI systems used as safety components of machinery (including cobot force-limiting AI, vision-guided robot path planning, and autonomous mobile robot obstacle detection) are simultaneously subject to the EU AI Act Annex III high-risk classification AND the Machinery Regulation's essential health and safety requirements — requiring a single technical file demonstrating compliance with both. The UFLPA (US) creates a rebuttable presumption that goods made wholly or in part in Xinjiang were produced with forced labour — supply chain provenance AI must provide traceability evidence to CBP at the line-item level. CSRD Scope 3 Category 1 (purchased goods and services) reporting requires AI-assisted supplier emissions data collection and validation starting for large companies in FY2025 reports.

Loading Model

• Mirrored file: 06_vertical_manufacturing_supply_chain_logistics.json
• Kind: vertical

OTel Namespaces

Primary Standards

• ISA-95 Part 1–6 — Enterprise/Control System Integration (ANSI/ISA-95)
• ISA-95 Part 4 — Objects and Attributes for Manufacturing Operations Management — ISA95JobOrderStateEnum (OPC Foundation reference implementation v1.0.0)
• ISA-88 — Batch Control (ANSI/ISA-88) — Equipment Procedural Elements and procedural state machine
• OPC UA Part 1–14 — Unified Architecture (IEC 62541); OPC UA for ISA-95 companion spec
• IEC 62443-1-1 through 4-2 — Industrial Automation and Control Systems (IACS) Cybersecurity
• IEC 62443-3-3 — System Security Requirements and Security Levels (SL1–SL4)
• ISO 10218-1:2011 / ISO 10218-2:2011 — Robots and robotic devices — Safety requirements
• ISO/TS 15066:2016 — Robots and robotic devices — Collaborative robots (cobot safety)
• ISO 22400-1:2014 / ISO 22400-2:2014 — Automation systems and integration — KPIs for MOM
• ISO 9001:2015 — Quality Management Systems
• AS9100 Rev D — Quality Management Systems for Aviation, Space, and Defense
• IATF 16949:2016 — Quality Management System for automotive production
• GS1 General Specifications v23 — Barcodes, RFID, and data standards
• GS1 EPCIS 2.0 (CBV 2.0) — Electronic Product Code Information Services
• GS1 EDI BMS eCom — Transport Status Condition codes
• UN/CEFACT CCTS — Core Components Technical Specification for trade documents
• WCO Harmonized System (HS) 2022 — Tariff nomenclature
• EU Machinery Regulation (EU) 2023/1230 — Replaces Machinery Directive 2006/42/EC (applicable from Jan 20 2027)
• EU AI Act (2024/1689) Annex I & III — AI systems in safety components of machinery
• EU Product Liability Directive (2024/2853) — Revised liability for AI-integrated products (in force Dec 2024)
• EU CSRD (2022/2464) — Corporate Sustainability Reporting Directive — supply chain due diligence
• EU Supply Chain Due Diligence Regulation (CSDDD) (2024/1760) — in force Jul 2024, transposition by Jul 2027
• US CHIPS and Science Act (2022) — Supply chain resilience reporting requirements
• US Uyghur Forced Labor Prevention Act (UFLPA 2021) — Supply chain provenance traceability
• FDA 21 CFR Part 820 — Quality System Regulation (medical devices); harmonised with ISO 13485:2016
• REACH Regulation (EC) No 1907/2006 — Registration, Evaluation, Authorisation of Chemicals
• RoHS Directive 2011/65/EU — Restriction of Hazardous Substances in electrical/electronic equipment

Source URLs

• https://reference.opcfoundation.org/ISA95JOBCONTROL/v100/docs/6
• https://www.iec.ch/homepage
• https://www.gs1.org/standards/epcis
• https://navigator.gs1.org/
• https://www.iso.org/standard/62091.html
• https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32023R1230
• https://www.dhs.gov/uflpa
• https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?CFRPart=820

Subdomains

Implementation examples

• Manufacturing Operations Management (ISA-95 MOM): Job Order State. AI production scheduling agent creates job orders and advances state through the lifecycle. 'Aborted' state triggers automatic root cause analysis and material reconciliation workflow. 'Held' state triggers QA agent investigation before resumption is permitted. (Eu Machinery Reg 2023 1230: Job order state transitions driven by AI scheduling agents are in scope of EU Machinery Regulation (2023/1230) Article 9 if the AI system influences safety-critical work centre operations)
• Manufacturing Operations Management (ISA-95 MOM): ISA88 Batch Procedural Element State. Batch AI agent transitions a pharmaceutical batch procedure through ISA-88 states. 'Held' state is used for planned interruptions (e.g. IPC sampling); 'Aborted' state triggers FDA-required batch failure investigation and deviation report generation.
• Manufacturing Operations Management (ISA-95 MOM): Equipment Use State. AI OEE agent tracks equipment use state transitions to calculate availability. Autonomous work order generation triggers when predicted time-to-failure falls below threshold for critical equipment. (Iso 22400: ISO 22400-2 — OEE availability calculation uses production, setup, maintenance, and down states)
• Manufacturing Operations Management (ISA-95 MOM): OEEPerformance Factor. AI OEE agent tags each autonomous improvement action with the targeted OEE factor. Vision inspection AI reducing defect rate tags actions as 'quality'. Predictive maintenance agent reducing unplanned downtime tags actions as 'availability'.

Illustrative policy patterns

package manufacturing.cobot_safety

requires_safety_mode := {"collaborative_robot_cobot", "autonomous_mobile_robot_amr"}

blockable_safety_modes := {"emergency_stop_triggered", "protective_stop_triggered"}

deny[msg] {
  input.manufacturing_physical_ai_kind in requires_safety_mode
  not input.manufacturing_cobot_safety_mode
  msg := "EU AI Act Art 12 / EU Machinery Reg: Cobot span must include manufacturing.cobot.safety_mode. Attribute missing — execution blocked for audit trail integrity."
}

deny[msg] {
  input.manufacturing_physical_ai_kind in requires_safety_mode

package manufacturing.trade_compliance

deny[msg] {
  input.manufacturing_supply_chain_risk_category == "forced_labour_uflpa"
  not input.uflpa_evidence_package_approved == true
  msg := sprintf("UFLPA: Shipment '%v' contains components with Xinjiang-origin risk. Shipping blocked until CBP-approved UFLPA evidence package is on file.", [input.shipment_id])
}

deny[msg] {
  input.manufacturing_export_control_classification in {"un_sanctions_prohibited", "us_entity_list_restricted"}
  msg := sprintf("Export Control: Item '%v' classified as '%v'. Shipment creation blocked — licence review required.", [input.item_id, input.manufacturing_export_control_classification])
}

From enum to evidence

The same vocabulary should carry from instrumentation through review. The OTel attribute names here become emitted metadata, those attributes become policy inputs, and those same labels should still be intelligible when a reviewer opens the decision record later.

import { VeriproofClient, VeriproofSdkOptions, SessionMetadata } from '@veriproof/sdk-core';
import { JobOrderState, JobOrderStateMeta, ISA88BatchProceduralElementState, ISA88BatchProceduralElementStateMeta, EquipmentUseState, EquipmentUseStateMeta } from '@veriproof/sdk-core/verticals/manufacturing-supply-chain-logistics';

const client = new VeriproofClient(
  VeriproofSdkOptions.createProduction({
    apiKey: process.env.VERIPROOF_API_KEY!,
    applicationId: 'manufacturing-supply-chain-logistics-production',
  }),
);

const session = client
  .startSession('manufacturing-supply-chain-logistics.review')
  .withSessionMetadata(SessionMetadata.forTransaction('txn-1001').withEnvironment('production'))
  .addStep('evaluate_workflow', { output: { status: 'completed' } })
  .withMetadata(JobOrderStateMeta.otelAttribute, JobOrderState.waiting)
  .withMetadata(ISA88BatchProceduralElementStateMeta.otelAttribute, ISA88BatchProceduralElementState.idle)
  .withMetadata(EquipmentUseStateMeta.otelAttribute, EquipmentUseState.production)

await session.complete();

• SDK: emit the OTel attribute shown on this page during the decision workflow.
• Policy: reference the matching `opa_policy_path` in governance rules.
• Evidence: surface the same label and value in the portal and exported record so reviewers are not translating between systems.

For a step-by-step getting-started walkthrough specific to this vertical, open the Manufacturing, Supply Chain & Logistics SDK quick start. For the full core API reference, continue with TypeScript, Python, or .NET.

Highlighted Enum Categories

This reference page is rendered from the mirrored JSON file inside the docs app, not from a hand-written website model.

If you need the machine-readable asset for offline review, automation, or internal diffing, use the mirrored JSON download above.

Next: open the corresponding SDK reference under SDK documentation and then compare it with the public-site industry page to see how the same vocabulary is framed commercially.