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PartProductionTracking¤

Track production quantities by part number from part-ID and counter signals.

Module: ts_shape.events.production.part_tracking Guide: Production Monitoring

When to Use¤

Use for part-level production reporting. Tracks how many of each part number were produced per hour, day, or custom period. Essential for production planning reconciliation and for computing per-part OEE when a line produces multiple SKUs.

Quick Example¤

from ts_shape.events.production.part_tracking import PartProductionTracking
import pandas as pd
import numpy as np

df = pd.DataFrame({
    "timestamp": pd.date_range("2024-01-01 06:00", periods=480, freq="1min"),
    "part_id": (["PN-100"]*160 + ["PN-200"]*160 + ["PN-100"]*160),
    "part_counter": np.arange(1, 481),
})

pt = PartProductionTracking(df, timestamp_column="timestamp")
hourly = pt.production_by_part(part_id_uuid="part_id", counter_uuid="part_counter", window="1h")
daily = pt.daily_production_summary(part_id_uuid="part_id", counter_uuid="part_counter")
totals = pt.production_totals(part_id_uuid="part_id", counter_uuid="part_counter")
print(hourly.head(10))

Key Methods¤

Method Purpose Returns
production_by_part(part_id_uuid, counter_uuid, window='1h') Count parts produced per part number per time window DataFrame with window, part_id, and quantity
daily_production_summary(part_id_uuid, counter_uuid) Aggregate daily production totals by part number DataFrame with date, part_id, and daily quantity
production_totals(part_id_uuid, counter_uuid) Compute total production by part number over the entire date range DataFrame with part_id and total quantity

Tips & Notes¤

Handle counter resets at part changes

When the part number changes, the counter may reset. The module handles this automatically, but verify your counter signal behavior — some PLCs maintain a running total while others reset per batch.

Related modules

See Also¤