Understanding Materials, Labor, Machine, and Overhead Costs in Dental Labs

Ask a lab owner what a zirconia crown costs to make and you will often get a confident answer for the price and a hesitant one for the cost. That is not a failure of attention. Lab costs are genuinely hard to see, because a single case draws on materials, people, equipment and the building around them, all at different rates.

This article explains the four main cost types, a practical way to turn each one into a cost per case, and why it pays to keep “what it should cost” separate from “what it did cost”. It is general information, not accounting advice. Your accountant should confirm how these ideas map onto your books.

The four cost types

Materials

Materials are the easiest to see: zirconia discs, lithium disilicate blocks, alloys, resins, model materials, consumables. The challenge is not identifying them but measuring how much of each a case actually uses.

For each material, decide on a unit (a disc, a gram, a millilitre) and a standard unit cost, usually based on what you normally pay. Then estimate how many units a typical case consumes. A disc that yields a known number of units, for example, gives you a cost per unit from the disc price.

Remember waste. Offcuts, failed mills and expired stock are real costs. Many labs handle this with an explicit allowance rather than pretending usage is perfect.

Labor

Labor is usually the largest and least visible cost. To use it per case, you need two numbers:

1. An hourly cost for each type of labor, such as design, finishing or ceramics. Start from what you pay, including employer costs, and convert it to an hourly figure. If someone is paid per month, you need to know how many hours they actually work in that month, which depends on your working calendar.
2. The time a case takes at each step. Estimates are fine to start with. Improve them by timing a sample of real cases.

Labor cost per case is then simply hourly cost × time for each step, added up.

Machines

Mills, printers, furnaces and scanners cost money whether they run or not. A simple approach is an hourly machine cost: take the yearly cost of owning and running the machine (depreciation or lease, maintenance, service contracts, energy) and divide by the hours you realistically expect to use it in a year.

The denominator matters. If you divide by the hours the machine could run, every case looks cheap and the cost of idle time disappears. If you divide by the hours it does run, a quiet month makes every case look expensive. Many labs use a realistic planned capacity and review it periodically.

Overhead

Overhead is everything that keeps the lab running but is not tied to a specific case: rent, utilities, software, insurance, administration, delivery vehicles. It still has to be paid for by the work you produce.

The usual approach is to allocate overhead using a driver that reflects how work consumes it, such as labor hours, machine hours or number of cases. The choice of driver should be explicit and documented, because it changes which products look profitable.

From cost types to a cost per case

Once each cost type is expressed per unit of work, a cost per case is a sum:

• material units × standard unit cost
• labor time × hourly labor cost, per step
• machine time × hourly machine cost, per step
• allocated overhead, using your chosen driver

This only works if you know how each product is made: which steps it goes through and what each step uses. That is why costing and production structure belong together. A process template that lists the steps for a crown is also the skeleton of its cost. Our guide to production workflows covers how to define those steps.

Standard cost and actual cost

There are two different questions, and they need two different answers:

• Standard cost: what should this case cost, given our normal prices, rates and times?
• Actual cost: what did we actually spend?

Keep them separate. A standard cost is planned and stable, which makes it useful for pricing and comparison. Actual costs, such as what you paid for a delivery of material, the overtime you paid last month or the repair on the mill, are facts that happened. Comparing the two shows you where reality differs from your plan.

If you blend actual figures into your standard, for instance by replacing a missing standard with last month’s actual, you lose that signal. It is better to treat a missing input as missing and fix it than to fill the gap with a number that only looks right.

Common pitfalls

• Treating labor as free because salaries are fixed. Labor time is the scarcest resource most labs have. Costing it makes trade-offs visible.
• Ignoring idle capacity. Expensive equipment that sits idle still has to be paid for by the work that does run.
• One overhead rate for everything. A single percentage on top of every case hides which work actually consumes your resources.
• Changing inputs without control. If anyone can edit a rate at any time, nobody can trust the result. Changes to standard inputs should be reviewed before they take effect.

How Byinux approaches this

Byinux cost management models materials, labor, machines and overhead as separate cost sources. Labor sources hold a cost amount and basis (hour, day, week or month) that is normalized to an hourly standard using the facility’s working calendar. Machine sources describe the standard machine resource a step requires, separately from the physical machine assets you own. Allocation rules and capacity drivers make overhead spreading explicit. Configured sources follow Save → Draft → Publish, and actual cost facts are recorded separately from the standard.

The tool matters less than the discipline: know how each product is made, express each cost per unit of work, and keep the plan and the facts apart.