{
  "docId": "019dd923-5ca1-7489-b638-7c979c845443",
  "docSlug": "c002e0cf0d8e656a",
  "documentTitle": "Fab Automation AI",
  "authorId": "McKinsey",
  "authorName": "McKinsey",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 10,
  "pageCount": 17,
  "prevPage": 9,
  "nextPage": 11,
  "slideType": "impact_sizing",
  "function": "quantify_impact",
  "density": "overcrowded",
  "nDataPoints": 4,
  "notes": "The slide uses a 'Before-After' or 'Cause-Effect' structure, mapping technical architecture to specific business outcomes.",
  "elementsJson": [
    "headline_text",
    "process_diagram",
    "bullet_list",
    "big_number",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b638-7c979c845443/10",
  "deckHref": "/decks/019dd923-5ca1-7489-b638-7c979c845443",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b638-7c979c845443.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b638-7c979c845443#slide-10",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.2,
        "x": 0.05,
        "y": 0.2
      },
      "kind": "diagram",
      "text": "MES Dispatch repository -> Analysis & prediction -> Iterative Scheduling -> Predictive, schedule-aware dispatching",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "43244ef0-229d-442b-adeb-9e72cb2daa7b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.4,
        "x": 0.25,
        "y": 0.2
      },
      "kind": "list",
      "text": "Data gathered real-time including: New lot routing plans, WIP lot status and priorities, Tool condition and failures",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "146a2939-34be-42e3-8b9f-3e2d05c60117",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.4,
        "x": 0.25,
        "y": 0.65
      },
      "kind": "list",
      "text": "AMHS/MCS completely services fab; OHVs with decentralized computing capable of individually optimizing the specific lot's schedule and dispatching; Zero human intervention",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5ca561b1-7f57-415a-ad0b-da476e9f6c5e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.4,
        "x": 0.25,
        "y": 0.45
      },
      "kind": "list",
      "text": "Schedules developed, simulated, and optimized iteratively real-time by forecasting WIP lot arrival at tools and identifying key bottleneck; Zero human intervention",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fef91ce3-a67d-4b51-9ff4-7ba629479d44",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.7,
        "y": 0.2
      },
      "kind": "metric",
      "text": "~20%",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "39ec79e3-9b83-40b5-af92-f390fa6ad0e4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.7,
        "y": 0.55
      },
      "kind": "metric",
      "text": "30-50%",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3d0158d8-8ebd-4935-bf40-b011c45eec04",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.7,
        "y": 0.35
      },
      "kind": "metric",
      "text": "~30%",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "59630def-8283-47ce-a841-06054ec3dd88",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.7,
        "y": 0.75
      },
      "kind": "metric",
      "text": "~90%",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "70180aa8-500a-4859-b4d3-1a917b285be1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Cycle time acceleration: ~20%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-d3be-700b-83cd-209bcac2f64c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.6,
        "x": 0.05,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "1 RTD: Real-Time Dispatching; AMHS/MCS: Automated Material Handling System/Material Control System; OHV: Overhead Vehicle",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "525e11c1-2002-4a15-bb53-a6a5bf9174ba",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.9,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Leading edge predictive and dynamic RTD increases automation and accelerates cycle time",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "77c3dd66-11d1-420d-bfc0-422533d5b48d",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Cycle time acceleration",
      "numberRaw": "~20%",
      "numberKind": "percent",
      "actionTitle": "Leading edge predictive and dynamic RTD increases automation and accelerates cycle time",
      "calloutText": null,
      "numberScale": null,
      "numberValue": 20,
      "metricFamily": "growth_rate",
      "numberCurrency": null
    }
  ],
  "tools": [],
  "frameworks": [
    {
      "name": "causal-chain",
      "slug": null,
      "matchId": "b89d5b0c-eeec-49bb-ab2f-e4018d371f93",
      "evidence": "The slide maps technical architecture components to specific operational impact metrics.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [
    {
      "to": 13,
      "from": 6,
      "beatId": "17c97aaf-f4c9-44f5-95c5-c47003083979",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Problem & Complication",
      "beatSlug": "consultants-gambit-problem-complication",
      "evidence": "Slides 6-13 discuss the challenges and pain points in the semiconductor sector.",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    }
  ],
  "loops": [
    {
      "to": 13,
      "from": 6,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "88172901-d18f-4177-8700-eb2f1626cb4a",
      "evidence": "Slides 6-13 discuss the challenges and pain points in the semiconductor sector, implying the cost of inaction.",
      "position": 0,
      "objective": "What are the consequences of not adopting AI in the semiconductor sector?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.7,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}