Case study

Three factories, one unit of production, one outlier

Energy & electricityManufacturing: Automotive, Plastics & Rubber

Same product, same equipment, and one factory used about 40% more energy per unit.

A manufacturer had different energy bills across factories making the same product on comparable equipment. We combine consistent metering with production counts to compare energy per unit and identify the site that needs a closer look.

What the data showed

Hover or arrow-key across the trace to read any interval. The flagged point is the one that started the conversation.

Three factories, one unit of production, one outlier
FLEET BESTREVIEWFactory 1: 214 kWh/tFactory 2: 299 kWh/tFactory 3: 221 kWh/t214299221
ENERGY PER UNIT OF PRODUCTION · BY SITE · MONTHLY
Chart data
IntervalEnergy intensity (kWh/t)
Factory 1214
Factory 2299
Factory 3221
Before and after, in words
BeforeThree bills that could not be compared
AfterOne normalized number that ranks the sites

Background

A manufacturer operates comparable factories making the same product with the same equipment. Their energy bills differ, but each total covers the work done at that site. Our comparison starts by bringing energy readings and production counts together so the team can account for how much each factory produces.

The problem

A larger bill can accompany higher output. Looking at the totals alone leaves the team unable to separate that difference from a change in operating efficiency. The factories need a common basis for comparison before anyone can identify which site deserves attention or explain why its energy use stands apart.

How we found it

We use identical metering points at each facility and bring in production counts for normalization. A shared dashboard compares energy per unit of production across the sites. That lets the team review the same measure for the same output, with the underlying energy and production readings available together.

What changed

The normalized comparison identifies an outlying factory using more energy per unit than the comparable sites. The team can rank the facilities on a common measure and focus the next investigation. The dashboard shows where the difference sits; the operational reason for that difference remains something to examine at the facility.

The lesson

We keep the production input with the energy measurement. It makes the comparison useful to the people who have to explain the difference and decide what to check next. As operating conditions change, the team can return to the same measure and see whether the gap persists. That gives reviews across facilities a consistent starting point for discussing performance and following the effect of subsequent work.

What changed

Before

Three bills that could not be compared

After

One normalized number that ranks the sites

~40%more energy per unit

Factory 2 vs. the two comparable sites, normalized to production.

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