A production schedule should tell the team what the business must produce today to achieve its financial goal. Throughput dollar scheduling, or T$ Scheduling, makes that target visible.
Instead of loading the day with a target number of jobs, square feet, slabs, or labor hours, the business schedules the mix of ready work needed to produce its daily Throughput target without overloading the constraint.
What is Throughput?
Throughput is the money generated through sales after subtracting the expenses that vary directly with those sales. In a fabrication business, the largest Truly Variable Expense is usually the material consumed by the job.
Throughput (T$) = Sales Price − Truly Variable Expense
Throughput is not revenue, gross margin percentage, or a measure of time. It is the contribution a sale makes toward covering Operating Expense and producing Net Profit.
That distinction matters. Two jobs can have similar square footage and require very different amounts of constrained capacity. Two jobs can also have similar selling prices and contribute very different amounts of Throughput. A useful schedule must account for both the economic value of the mix and the capacity that governs whether the work can actually flow.
Turn the financial goal into a daily T$ target
The basic calculation begins with three decisions:
- How much Operating Expense must the business cover during the period?
- How much Net Profit does the business intend to produce?
- How many production days are available?
Daily T$ Target = (Operating Expense + Desired Net Profit) ÷ Available Workdays
If leadership begins with a desired return on sales, convert that return into the desired Net Profit for the period, then use the same calculation.
A simple hypothetical example
Suppose a company expects $300,000 in monthly Operating Expense and wants to produce $60,000 in Net Profit. With 20 available production days, the schedule must deliver:
($300,000 OE + $60,000 desired NP) ÷ 20 days = $18,000 T$ per day
The production planner now has an economic target for each day. The question is no longer simply, “How many jobs can we fit?” It becomes, “Which mix of ready work can produce approximately $18,000 in Throughput while respecting the capacity of the system?”
The capacity test comes before release
A financial target does not create physical capacity. Before the team commits to the schedule, it must compare the proposed mix with the capacity of the constraint, the resource or condition that currently governs total output.
If the daily T$ target requires more constrained capacity than the operation can provide, the target and the present operating system are in conflict. That gap becomes a management question. The business may need to change product mix, pricing, sales focus, work methods, available capacity, Operating Expense, or the timing of the profit goal.
Simply releasing more work does not solve the gap. It creates more work in process, longer queues, shifting priorities, and promises the constraint cannot support.
Why square feet, job count, and utilization can mislead the schedule
Traditional production measures are useful descriptions, but they are weak economic governors:
- Job count treats a small vanity and a complex whole-house project as equivalent units.
- Square footage says little about the Throughput contribution or how the work consumes constrained capacity.
- Labor hours can encourage local efficiency even when the system needs protective capacity and flexibility.
- Equipment utilization can reward producing work the constraint cannot absorb or the customer does not need yet.
T$ Scheduling does not make those measures disappear. It puts them in their proper place. The schedule is governed by the financial requirement of the whole business and the capacity that limits its flow.
How T$ Scheduling works in a stone fabrication operation
1. Establish the target
Leadership determines the Operating Expense, desired Net Profit, and available workdays for the planning period. The resulting daily T$ target makes the economic requirement explicit.
2. Qualify work before it reaches production
Project management protects production from incomplete information and unready jobs. Deposit, material, field conditions, approvals, measurements, and other readiness requirements must be known before a work order is released.
3. Build a feasible work-order mix
The production planner selects ready work that approaches the T$ target and fits the available constrained capacity. The goal is a daily sequence the system can complete, not an optimistic list that depends on expediting.
4. Release with discipline
Work enters production according to the planned sequence and release rules. Limiting work in process protects focus, shortens lead time, and keeps the true condition of the schedule visible.
5. Manage work-order position and risk
In a fabricator’s buffer, the color zones represent the stage of processing a work order is expected to reach each day. The Red Zone is the staging day, including final Quality Control, so the job is ready to go to installation the next morning.
Each work order is then evaluated as On Track, a Threat, or a Hole. A Threat has fallen behind but may still recover if nothing else interferes. A Hole is unlikely to be ready without expediting or a special contingency. That distinction gives production planners time to resequence work, pull qualified work forward, authorize overtime, or use another deliberate response.
6. Learn from the exceptions
Threats, holes, callbacks, cancellations, and recurring constraints become evidence for the Synchronous Flow Improvement Team. The SFIT focuses improvement on the conditions that are actually preventing the business from achieving its goal.
What T$ Scheduling is not
- It is not a reason to load more work into production.
- It is not a substitute for readiness, quality, or customer commitments.
- It is not an assumption that every dollar of Throughput consumes the same amount of constrained capacity.
- It is not the final level of economic analysis.
Once the basic operating discipline is working, Octane and Profitability Index can support more advanced decisions about product mix, pricing, and the use of constrained capacity. The daily T$ target comes first because the team needs a clear, shared economic goal before additional precision becomes useful.
A practical starting checklist
- Calculate Throughput consistently for each work order.
- Agree on the Operating Expense and desired Net Profit for the planning period.
- Calculate the daily T$ target across the actual available workdays.
- Identify the capacity that currently governs output.
- Define what makes a job truly ready for release.
- Build the daily mix around T$, readiness, and constrained capacity.
- Compare every work order with where it should be today.
- Use threats, holes, and callbacks to focus continuous improvement.
Want to make the calculation concrete?
Start with our free Throughput resources, or bring us the numbers and operating problem behind your current schedule. We will help you think through the target, the constraint, and whether a deeper assessment makes sense.
