Random Warehouse Picking Productivity Dataset Generator

Description

Generate synthetic shift order counts, integer lines per order, and separate positive picker/packing labor minutes; delegate orders/hour and lines/hour per shift and from aggregate work divided by aggregate hours. Totals are not an unweighted average of shift rates, and no real worker profiles, targets or performance judgments are inferred.

A logistics test dataset combines supplied operating ranges with explicit quantity and unit conventions. Constructed measurements and calculated indicators can exercise reports and calculators without claiming to represent an observed operation or a safe physical plan.

When to use this tool

Use this generator to create reproducible warehouse picking productivity dataset cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

Supply shiftCount, minimumOrders, maximumOrders, minimumLinesPerOrder, maximumLinesPerOrder, minimumMinutes, maximumMinutes in the field shapes below. Set seed when you need an explicit replay.
Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
Read shifts, totals. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Draw shift order counts, integer lines per order and separate positive picking/packing minutes. Delegate work-per-hour calculations for each shift, then compute totals from summed work divided by summed labor time.^[1]

Delegated operations used for this result: orders per hour picker throughput; lines per hour pack station. Their calculation or parsing conventions apply to the corresponding result fields.^{[2, 3]}

Input field	Meaning and units	Accepted input
shiftCount	Shift Count	Required. Safe integer; minimum 1; maximum 128.
minimumOrders	Minimum Orders	Required. Safe integer; minimum 0; maximum 9007199254740991.
maximumOrders	Maximum Orders	Required. Safe integer; minimum 0; maximum 9007199254740991.
minimumLinesPerOrder	Minimum Lines Per Order	Required. Safe integer; minimum 1; maximum 9007199254740991.
maximumLinesPerOrder	Maximum Lines Per Order	Required. Safe integer; minimum 1; maximum 9007199254740991.
minimumMinutes	Minimum Minutes	Required. Safe integer; minimum 1; maximum 9007199254740991.
maximumMinutes	Maximum Minutes	Required. Safe integer; minimum 1; maximum 9007199254740991.
seed	Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.	Optional. Safe integer.

Output field	Interpretation	Returned shape
shifts	Shifts	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 128.
shifts[].ordersPicked	Orders Picked	Required. Safe integer; minimum 0; maximum 9007199254740991.
shifts[].linesPacked	Lines Packed	Required. Safe integer; minimum 0; maximum 9007199254740991.
shifts[].pickerMinutes	Picker Minutes	Required. Safe integer; minimum 1; maximum 9007199254740991.
shifts[].stationMinutes	Station Minutes	Required. Safe integer; minimum 1; maximum 9007199254740991.
shifts[].pickerHours	Picker Hours	Required. Finite number; strictly above 0.
shifts[].stationHours	Station Hours	Required. Finite number; strictly above 0.
shifts[].ordersPerHour	Orders Per Hour	Required. Finite number; minimum 0.
shifts[].linesPerHour	Lines Per Hour	Required. Finite number; minimum 0.
shifts[].id	Literal identifier used to match records, independently of their display labels.	Required. Text.
shifts[].linesPerOrder	Lines Per Order	Required. Safe integer; minimum 1; maximum 9007199254740991.
totals	Totals	Required. Object; no unknown keys.
totals.ordersPicked	Orders Picked	Required. Safe integer; minimum 0; maximum 9007199254740991.
totals.linesPacked	Lines Packed	Required. Safe integer; minimum 0; maximum 9007199254740991.
totals.pickerMinutes	Picker Minutes	Required. Safe integer; minimum 1; maximum 9007199254740991.
totals.stationMinutes	Station Minutes	Required. Safe integer; minimum 1; maximum 9007199254740991.
totals.pickerHours	Picker Hours	Required. Finite number; strictly above 0.
totals.stationHours	Station Hours	Required. Finite number; strictly above 0.
totals.ordersPerHour	Orders Per Hour	Required. Finite number; minimum 0.
totals.linesPerHour	Lines Per Hour	Required. Finite number; minimum 0.
randomness	Replay metadata: source is seed or context; seed is the normalized 32-bit seed or null for a context source.	Required. Object; no unknown keys.
randomness.seed	Optional numeric replay seed; normalization and precedence are explained below.	Required. Safe integer. or Null.
randomness.source	Source	Required. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json

{
  "input": {
    "shiftCount": 3,
    "minimumOrders": 0,
    "maximumOrders": 20,
    "minimumLinesPerOrder": 1,
    "maximumLinesPerOrder": 4,
    "minimumMinutes": 30,
    "maximumMinutes": 120,
    "seed": 42
  },
  "output": {
    "shifts": [
      {
        "id": "shift-1",
        "linesPerOrder": 2,
        "ordersPicked": 12,
        "linesPacked": 24,
        "pickerMinutes": 107,
        "stationMinutes": 90,
        "pickerHours": 1.7833333333333334,
        "stationHours": 1.5,
        "ordersPerHour": 6.728971962616822,
        "linesPerHour": 16
      },
      {
        "id": "shift-2",
        "linesPerOrder": 3,
        "ordersPicked": 3,
        "linesPacked": 9,
        "pickerMinutes": 54,
        "stationMinutes": 86,
        "pickerHours": 0.9,
        "stationHours": 1.4333333333333333,
        "ordersPerHour": 3.333333333333333,
        "linesPerHour": 6.27906976744186
      },
      {
        "id": "shift-3",
        "linesPerOrder": 2,
        "ordersPicked": 18,
        "linesPacked": 36,
        "pickerMinutes": 52,
        "stationMinutes": 110,
        "pickerHours": 0.8666666666666667,
        "stationHours": 1.8333333333333333,
        "ordersPerHour": 20.76923076923077,
        "linesPerHour": 19.636363636363637
      }
    ],
    "totals": {
      "ordersPicked": 33,
      "linesPacked": 69,
      "pickerMinutes": 213,
      "stationMinutes": 286,
      "pickerHours": 3.55,
      "stationHours": 4.766666666666667,
      "ordersPerHour": 9.295774647887324,
      "linesPerHour": 14.475524475524475
    },
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

Aggregate rates are not unweighted averages of shift rates. Product and aggregate counts must remain safe integers. These are synthetic workloads rather than real worker profiles, targets or performance judgments.
A replay requires the same complete input and implementation. Randomized construction does not guarantee uniform coverage of every feasible output; finite samples can repeat unless a distinct-selection rule is explicitly stated.
The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

Tool behavior and example: Random Warehouse Picking Productivity Dataset Generator — tool.io
Calculation or validation: logistics/orders-per-hour-picker-throughput — tool.io
Calculation or validation: logistics/lines-per-hour-pack-station — tool.io

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