2 posts tagged with "cost-reduction"

Energy is the expense that hides in plain sight. Most manufacturers know their monthly utility bill, but few can answer these questions:

• Which machines consume the most energy per part produced?
• How much energy does your factory waste during idle time and changeovers?
• What's the actual cost of running Machine #7 versus Machine #12 for the same product?
• How does your energy consumption compare between shifts, operators, or products?

Without machine-level energy visibility, you're paying a number you can't optimize. And that number is getting bigger — U.S. industrial electricity rates have risen 22% since 2020, and the trend isn't reversing.

This guide shows you how to use IIoT monitoring to find and eliminate energy waste in manufacturing operations — with a realistic target of 15–30% reduction in energy costs within the first year.

Electricity doesn't just power a plastics factory — it defines its profitability. For most plastics processors, energy represents 20–30% of total manufacturing cost, second only to raw resin. Yet the vast majority of plants have no visibility into where those kilowatt-hours actually go. The utility bill arrives, someone winces, and everyone moves on.

That approach worked when energy was cheap. In 2026, with industrial electricity rates climbing past $0.12/kWh in many regions and sustainability reporting becoming a procurement requirement, ignorance isn't bliss — it's margin erosion.

Per-machine energy monitoring changes the equation entirely. When you can see exactly how many kWh each injection molding press, extruder, or auxiliary system consumes per pound of resin processed, you stop guessing and start optimizing.