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TargetTracking¤

Compare any production metric to targets — every plant has daily/shift targets.

Module: ts_shape.events.production.target_tracking Guide: Reporting Guide

When to Use¤

Use as a generic target vs actual comparison module. Works with any production metric (output, quality, OEE) against per-shift or daily targets. This is the go-to module when management sets numeric goals and you need to report achievement rates over time.

Quick Example¤

from ts_shape.events.production.target_tracking import TargetTracking

tracker = TargetTracking(
    df=production_df,
    start_time="2024-01-01",
    end_time="2024-01-31"
)

# Compare actual production to shift targets
shift_targets = {"morning": 500, "afternoon": 480, "night": 400}
comparison = tracker.compare_to_target(
    metric_uuid="counter-001",
    targets=shift_targets
)

# Achievement summary over time
summary = tracker.target_achievement_summary(
    metric_uuid="counter-001",
    daily_target=1400
)

# How often do we hit the daily target?
hit_rate = tracker.target_hit_rate(
    metric_uuid="counter-001",
    daily_target=1400
)

Key Methods¤

Method Purpose Returns
compare_to_target(metric_uuid, targets) Actual vs target per shift with delta and percentage DataFrame
target_achievement_summary(metric_uuid, daily_target) Daily achievement percentage over the analysis period DataFrame
target_hit_rate(metric_uuid, daily_target) Percentage of days/shifts where target was met or exceeded float

Tips & Notes¤

Adjust targets for product mix

A flat daily target works when producing a single product. If your line runs multiple variants with different cycle times, pass product-weighted targets to get meaningful achievement rates.

Related modules

See Also¤