The Challenge
A rubber products manufacturer with eight compressors and twelve production lines received a monthly utility bill showing only the total. When it climbed 22% over 18 months, management asked the operations team to investigate. The operations team had no tools to answer the question.
The manufacturing cost model showed compressed air as 8% of total variable cost. The actual figure — when finally measured — was 13.4%. The discrepancy had accumulated over years as production mix shifted toward higher-air-demand products. Investment decisions made on the basis of the 8% assumption had systematically undervalued air efficiency improvements and overvalued other interventions.
What Changed
Sub-metering at 22 branch points — every major line and process section — with cost attribution to product and shift. A live utility cost model updated in real time.
The first month of data revealed that Line 4 (a rubber extrusion line) was consuming 31% of all compressed air while producing 18% of output value. Its air demand had grown as process settings drifted. A demand audit led to a combination of leak repairs, pressure regulator adjustments, and equipment scheduling changes that reduced the line's air consumption by 26% within eight weeks.
Results
13.4% vs 8% assumed
within 8 weeks
for all 12 lines
for 4 high-air SKUs
“Utility costs allocated by assumption rather than measurement embed errors into every decision downstream — pricing, investment cases, process improvement priorities. The cost of measurement is a fraction of the cost of those errors. Line-level data is not a nice-to-have; it is the foundation of accurate manufacturing economics.”