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Week 34 · Aug 18–24, 2026
⚡ DEMO MODE · Sample data · Power Apps + Power BI
PRODUCTION INTELLIGENCE Built by Mytrii for Frontier Foods Production · OEE · Utilization · Labour — demo mockup
Site OEE
78.4%
Target 85%
Availability
91.2%
Runtime / Planned
Performance
88.6%
Actual vs ideal speed
Quality
97.1%
Good units / total
SITE OEE — WEEK 34
78.4%
vs 85% target
OEE BY LINE
LOSS WATERFALL — PLANNED TIME TO GOOD OUTPUT (HRS, WEEKLY)
Bridges planned production time down to good-output-equivalent time, through each loss category.
DAILY OEE % AND 15-DAY OEE AVERAGE
DAILY OEE % BY LINE
LABOUR COST vs OUTPUT — 14 DAYS
LABOUR COST % OF OUTPUT VALUE — BY LINE
OEE vs UTILIZATION — 14 DAYS
DOWNTIME HOURS — 14 DAYS
OUTPUT vs TARGET — 14 DAYS
RUNTIME BREAKDOWN — TOTAL AVAILABLE TIME (HRS, WEEKLY)
Same bridge logic as the OEE loss waterfall, isolated to time (not output-equivalent).
RUNTIME HOURS vs UNITS PRODUCED — 14 DAYS
RUNTIME HOURS vs TARGET RUNTIME — 14 DAYS
DateLineShiftPlanned HrsRuntime HrsOutput (cases)TargetOEE %Downtime ReasonDowntime Min
LABOUR COST PER UNIT AND PER RUN — BY PRODUCT
Per-unit cost is the labour cost to pack one case. Per-run cost is that same rate applied to a full production run of the item.
SITE UTILIZATION — WEEK 34
82.3%
Runtime / Planned Time
UTILIZATION BY MACHINE — TREND