Favor high-contribution products
When it may fit: Capacity is limited.
Evidence needed: Contribution per unit or per machine hour.
Trade-off: Demand may not follow.
Manufacturing Intelligence Brief
Products differ in how much they earn per unit and in total. A contribution comparison shows which products carry the plant and which only take up capacity.
Which of our products really make the money?
Plants often look at total revenue by product. But two products with the same revenue can differ widely in contribution after direct costs, and the product with the most volume may earn less per unit than a smaller one.
A comparison of contribution in total, per unit and as a percentage of revenue, with its trend, shows where the profit really comes from.
A product contribution table has these columns:
Contribution per unit of the scarce resource, such as machine time, is the best guide if capacity is limited.
In the synthetic plant, Calculated Sensor Pack earns the highest contribution margin at 44.9% and the highest contribution per unit at $18.72, on revenue of $9.80M. Housing Assembly is the largest at $19.2M with a margin of 35.4% and $14.47 per unit.
Calculated Control Module and Bracket Kit earn 31.7% and 33.1%, and about $12.68 and $13.56 per unit. Custom Orders had a 52.5% margin in the prior period and now earns 32.0% and only $11.85 per unit, the lowest in the plant, after growing units 35.0%.
Hypothesis If capacity were tight, the plant would want to favor Sensor Pack and Housing Assembly over Custom Orders, which now earn the least per unit. Information gap The demo has no machine-time data, so it cannot show contribution per hour of constrained capacity. Even so, the comparison suggests that pushing volume in Custom Orders at current prices is not the best use of capacity.
4. Explore the interactive experience
Manufacturing Performance Dashboard: a product-line dashboard with downtime and scrap, a scenario simulator for volume, price, materials and scrap, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below is built on a synthetic manufacturer, “Demo Components Inc.,” analyzed by product line. It has no station-level, machine-level or line-level records, so product lines are used to show the method. Nothing in it is real.
Product decisions follow contribution and capacity.
Two Pillars can help manufacturers investigate production performance, cost structure, inventory and capital investment decisions using your own plant data. A good first step is a product contribution analysis that adds capacity use to the margin picture.