June 18, 2026 / Dipak Vyas
Your paper machine produces wide rolls. Your customers want narrow ones. Bridging that gap without wasting paper is one of the oldest, most expensive headaches in the craft paper business, and it has a name: the Cutting Stock Problem. Solving it well doesn’t need new machines. It just needs smarter cutting. Here’s how it works and why it matters.
The Cutting Stock Problem in craft paper manufacturing is the challenge of slitting big master rolls into smaller customer widths while wasting as little paper as possible. Every cut leaves an unusable edge strip called trim loss. The goal is to find the smartest mix of cutting patterns that fills every order using the fewest rolls. Done right, paper cutting optimization meaningfully lowers trim waste, cutting raw material cost and boosting output, with no new equipment.
In plain terms: you have big rolls of a fixed width and a list of smaller widths people ordered. How do you cut the big rolls to fill every order while wasting the least?
In a mill, the big roll is your master roll, and you’re dividing its width into the roll sizes customers want. The answer comes out as cutting patterns, recipes like: “cut this width, then this width, then this width, side by side, until the roll is used up.”
Think of wrapping paper. One wide sheet, several gifts of different sizes, and you want the smallest scraps left over. Same puzzle, much bigger scale.
The number of possible cutting combinations grows fast. With a dozen order widths, you already have thousands of valid ways to arrange them. No planner can eyeball the best one, and spreadsheets choke on it.
And the stakes are real. Paper is expensive to make, pulp, water, energy, chemicals all go into every meter. When a strip becomes scrap, you lose everything you spent making it. A mill leaking even a small percentage extra to trim, month after month, is quietly burning a serious sum every year.
Here’s the part that actually matters on the shop floor: cutting decisions are made one width at a time, in isolation. A planner sets the blades for one order, runs it, then resets the blades for the next order. Each setup leaves its own leftover edge, and those small leftovers add up fast.
The smarter approach is to plan blade positions across multiple orders at once, not one at a time. Instead of asking “how do I cut this single width with the least waste,” the question becomes “which combination of order widths, placed together across one roll, fills that roll as completely as possible.”
When order widths are grouped well, they tend to add up close to the full width of the master roll, leaving almost nothing on the edge. When they’re cut in isolation, each pattern leaves its own gap, and those gaps compound across every roll run that day.
This is really a matching problem: pairing the right combination of customer orders to the available roll width, so the blades are doing useful work across the entire roll rather than leaving slivers behind on each pass. The fewer isolated, mismatched cuts you run, the less trim ends up on the floor.
Less wasted paper, cutting straight to your biggest cost.
More output from the same machine, fewer rolls and knife changes.
Lower cost per tonne, every point of trim recovered becomes profit.
Cleaner inventory and more reliable deliveries.
A mill that meaningfully reduces its trim percentage recovers a substantial volume of sellable paper, essentially free extra production from the same machine. It’s also a real sustainability win you can back with numbers.
Modern tools do the planning work no human can do by hand. They group order widths intelligently, balance trim against setup changes, forecast upcoming orders, re-plan in seconds when a rush job hits, and plug into your ERP or MES so plans flow straight to the slitter. Your planner keeps the judgment calls; the software handles the heavy lifting of finding the best combination.
This is exactly the kind of problem ETSMARTCUT, our cutting-stock optimizer, is built to solve, turning leftover scrap into reclaimed material through smarter blade planning, visual cutting layouts, and one-click reporting.
How much can optimization save? Most mills see a significant drop in trim loss, recovering meaningful tonnage over a year at scale.
What is trim loss? The leftover strip too narrow to sell after the ordered widths are cut.
Do I need new machines? No. The gains come from smarter planning, not new hardware.
Can small mills benefit? Yes. Since fiber is the biggest cost, even a modest reduction in trim matters at any size.
The Cutting Stock Problem is a daily, money-moving decision sitting between your machine and your customers. Treat trim as a number you actively manage, pool your orders, and put proper optimization behind your slitting plans. You’ll waste less, produce more, and run greener, all with the equipment you already own.
At Eternal, we build custom software and AI solutions for manufacturers, and trim optimization is exactly the kind of problem we solve. Talk to our team for a cutting optimization assessment. We’ll benchmark your current trim and show you exactly where the savings are hiding.
Dipak is an experienced industry veteran and trusted Odoo ERP Consultant, serving as the co-founder of Eternal Web Pvt Ltd. He specializes in delivering tailored ERP solutions that drive digital transformation for SMEs and enterprises. With extensive expertise in Odoo customization, integration, and deployment, Dipak has consistently helped businesses streamline operations, enhance productivity, and achieve sustainable growth.
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