iiRecord
Agentic AI Atlas · design-of-experiments
lib-process:industrial-engineering--design-of-experimentsa5c.ai
II.
LibraryProcess JSON

lib-process:industrial-engineering--design-of-experiments

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design-of-experiments json

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File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:industrial-engineering--design-of-experiments",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "design-of-experiments",
    "description": "Design of Experiments Execution - Plan and execute designed experiments to identify significant factors,\noptimize process settings, and reduce variation using factorial and response surface methods.",
    "libraryPath": "library/specializations/domains/science/industrial-engineering/design-of-experiments.js",
    "specialization": "industrial-engineering",
    "references": [
      "- Montgomery, Design and Analysis of Experiments\n- Box, Hunter & Hunter, Statistics for Experimenters\n- NIST/SEMATECH e-Handbook of Statistical Methods"
    ],
    "example": "const result = await orchestrate('domains/science/industrial-engineering/design-of-experiments', {\n  experimentObjective: 'Optimize injection molding cycle time while maintaining quality',\n  responseVariables: ['cycle-time', 'part-weight'],\n  factors: ['temperature', 'pressure', 'cooling-time'],\n  designType: '2k-factorial'\n});",
    "usesAgents": [
      "doe-planner",
      "factor-analyst",
      "design-selector",
      "randomization-specialist",
      "experiment-executor",
      "doe-analyst",
      "optimizer",
      "confirmation-executor",
      "doe-reporter"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "skill-area:organizational-design",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "domain:industrial-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "role:operations-analyst",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "workflow:architecture-decision-record",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "specialization:industrial-engineering",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:industrial-engineering--design-of-experiments",
      "to": "lib-agent:shared--optimizer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}