{
  "example_kind": "original synthetic manual planning case",
  "slug": "arrival-burst-review-window",
  "title": "Inspect an arrival burst inside a review window",
  "scenario": "Synthetic planning case: Eight requests arrive at 09:00. The reviewer processes one per hour from 09:00 to 17:00, with no later arrivals. A receiving requirement asks whether all can finish by 11:00.",
  "layout": "network",
  "dataset": {
    "heading": "Inspect the invented case records",
    "headers": [
      "Checkpoint",
      "Cumulative arrivals",
      "Cumulative reviews",
      "Pending"
    ],
    "rows": [
      [
        "09:00",
        "8",
        "0",
        "8"
      ],
      [
        "11:00",
        "8",
        "2",
        "6"
      ],
      [
        "17:00",
        "8",
        "8",
        "0"
      ]
    ]
  },
  "derivation": "By 11:00, two one-hour reviews have finished. Eight minus two leaves six; spreading the eight arrivals into an average of one per hour would hide the actual burst.",
  "result": "Daily capacity of eight fits the daily total, but only two reviews finish by 11:00 and six remain. The two-hour receiving requirement is infeasible in this scenario.",
  "boundary": "The guide tests a short-window burst against a specific receiving deadline.",
  "limitations": "The example assumes deterministic one-hour service, a ready queue and no breaks. It is not a latency benchmark.",
  "sources": [
    "kanban"
  ],
  "tasks": [
    [
      "Retain the arrival timing",
      "Intake owner",
      "All eight requests enter at 09:00 instead of being averaged across the day."
    ],
    [
      "Check the receiving window",
      "Queue planner",
      "Only two service slots exist before 11:00 under the declared rate."
    ],
    [
      "Resolve the early-window requirement",
      "Decision owner",
      "Change scope, qualified capacity or receiving time explicitly; a daily total is not the answer."
    ]
  ],
  "faqs": [
    [
      "Does a balanced daily total prove acceptable waiting?",
      "No. Arrival timing and the receiving window determine which deadlines can be met."
    ],
    [
      "Can I claim one review per hour in real work?",
      "Not from this invented scenario; actual service conditions need evidence."
    ]
  ],
  "method_references": [
    {
      "id": "kanban",
      "title": "The Kanban Guide",
      "url": "https://kanbanguides.org/the-kanban-guide/",
      "scope": "Workflow and flow-measure context. Queue policies and staffing scenarios are explicitly local examples, not delivery guarantees."
    }
  ]
}