Keep strategic and high-margin products in-house
When it may fit: Control and margin matter.
Evidence needed: Contribution and strategic role.
Trade-off: Capacity limits.
Manufacturing Intelligence Brief
How to Compare Outsourcing and In-House Production
Making a product yourself buys control and uses your plant. Buying it frees capacity and converts fixed cost to variable. The right answer is product by product.
1. The business problem
Which of our products should we make ourselves, and which should we buy?
Make-or-buy is a decision made repeatedly, and often by habit. Some products suit the plant’s equipment and skills, and some do not. Outsourcing the wrong product can lose margin and control, and keeping the wrong one can tie up capacity that earns more elsewhere.
The comparison has to include costs that remain when production is outsourced, notably fixed overhead. This is a framework for comparing options, not an investment recommendation.
2. What the evidence can reveal
A make-or-buy comparison uses these elements:
- Calculated In-house direct cost per unit, and the portion that is avoidable if production moves.
- Calculated The outsourced price per unit, with freight, quality and administration costs.
- Calculated Overhead that remains, and capacity that would be freed.
- Information gap Supplier reliability, intellectual property, quality risk and the strategic role of the product.
Capacity freed is only valuable if it can be used on better-earning products.
3. Investigate the problem
In the synthetic plant, Calculated direct cost per unit differs by product: about $22.98 for Sensor Pack, $26.38 for Housing Assembly, $27.32 for Control Module and $27.46 for Bracket Kit. Custom Orders cost about $25.19 a unit in direct cost and sell for about $37.04, with a falling margin of 32.0%.
Illustrative An invented quote: if a supplier offered Bracket Kit at $27.00 a unit, against an in-house direct cost of about $27.46, the plant would save about 46 cents a unit, or about $136,000 a year on 295 thousand units. But overhead of $10.6M would remain, and the saving would be real only if the freed capacity were put to more profitable use or overhead were reduced.
Hypothesis The product that best fits outsourcing is probably a mature, stable, low-margin item that uses plant capacity and has several reliable suppliers. Information gap Supplier quotes, quality history and the plant’s capacity limits are not in the demo. In the scenario, materials are the largest cost at $27.3M, so an outsourced price that avoids some of that exposure may also reduce risk, at the cost of control.
4. Explore the interactive experience
Investigate it yourself.
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 equipment, capital-cost, quote or supplier data, so it is used to show the operating economics that a capital decision depends on. Nothing in it is real, and nothing in it is an investment recommendation.
- In the product table, compare contribution per unit. Which product earns the least per unit of capacity?
- Select Bracket Kit. Would a supplier at a slightly lower unit price be worth considering?
- Ask APIS which products warrant a closer review.
5. Evaluate possible solutions
A product-by-product approach works best.
6. What leadership should do next
Questions to answer
- What does each product cost in-house, avoidable cost only?
- What would a supplier charge?
- What would the freed capacity earn?
- What are the risks?
Data to gather
- Direct and avoidable cost per unit
- Supplier quotes
- Capacity and demand
- Quality history
Steps to take
- Rank products by contribution per unit of capacity.
- Get quotes on the bottom ones.
- Pilot one.
- Review.
7. Engage Two Pillars
Identify Opportunities Across Production, Costs, 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-by-product make-or-buy analysis that counts avoidable cost and freed capacity.
Sources and data notes
- The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
- Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals, and it is not legal, tax or financial advice.