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A team lead weighs two projects, reviewer time, and partial outsourcing.

Economics for Business, Episode 8: Turn Theory into a Decision Plan

Bring relevant costs, opportunity costs, delivery capacity, the market, cash, and risk into one decision plan, using hypothetical software and make-or-buy cases.
October 17, 2026 by
Tomz

Economics for Business · Part 8 of 8

A job that looks worthwhile on paper may not fit this month

A new project appears to leave money after added expenses, but the team's only reviewer is busy delivering older work. A factory has a well-priced order, but must buy materials two months before the customer pays. Revenue less cost can make both choices look ready even when people or cash are insufficient.

The final episode combines the earlier ideas into one decision sheet: alternatives, scarce resources, cost, market, cash, and stop conditions. All examples are hypothetical exercises, not actual business results or personalized investment advice.

Write down the alternatives before the numbers

“Is this project profitable?” is too narrow if the real choices are to take it now, delay delivery, outsource a part, or decline. Compare all feasible options over the same period, quality standard, and scope, including the option of doing no extra work.

State what can change this period, what remains fixed, and what must wait. A permanent hire creates an ongoing obligation, so one project's first-month revenue is not enough to decide. Building a reusable component also needs money, time, and evidence that reuse is likely.

Once the options are listed, separate added revenue, relevant added cost, and the return on the best alternative forgone. Do not add opportunity cost again if it is already represented in the existing cost base. Work using a fully occupied resource cannot be added without consequences.

Added revenue
is not enough
delivery must fit
A decision also needs relevant costs, limited resources, quality, and the period when cash must be funded.

Hypothetical systems team with limited reviewer hours

Suppose an SI team or Odoo Partner has 80 uncommitted reviewer hours in one month after setting aside work already promised. Project A brings THB 240,000 in revenue, THB 150,000 in other added costs, and needs 60 reviewer hours. Project B brings THB 180,000, has THB 110,000 in other added costs, and needs 40 reviewer hours.

On this basis, added revenue less added cost leaves THB 90,000 for A and THB 70,000 for B. Neither subtracts existing expenses, and neither figure is "net profit." Assume each project's price and cost remain as stated, projects cannot be divided into smaller pieces, and there are no other job options this month.

With only the current team, the constraint is "A and B cannot be taken together" because the projects need 100 reviewer hours, 20 more than are free. They could take A alone or B alone. Dividing the differences by reviewer hours gives THB 1,500 for A and THB 1,750 for B per hour. This compares returns on review time but does not by itself make B the better choice: B leaves 40 hours that may have no other use.

If a qualified outside reviewer can really provide 20 hours this month for THB 30,000 including fees, rechecking, and coordination, taking both projects leaves THB 130,000: THB 90,000 + THB 70,000 - THB 30,000. That is THB 40,000 above A alone, provided the rest of the team also has capacity.

The figure calls for further checks, not an instruction to hire. If the contractor is unavailable, cannot access the data, or takes longer to review than allowed, the option may fail before it starts. Compare delaying B with the customer's consent too, without assuming delay is free.

A team lead compares two projects, reviewer hours, and an option to outsource part of the review
An attractive option must fit actual delivery capacity, including the readiness of other work steps.

Money left after a job does not mean cash is available along the way

Suppose A collects a THB 72,000 deposit but must pay THB 120,000 in added cash costs before its next receipt. Its cash gap during that period is THB 48,000, even though the earlier added-revenue-minus-added-cost figure is positive.

Before taking both projects, make a dated receipts-and-payments schedule for the whole business, including older work. Each job's cash gap may fall on a different day, so total revenue less total cost is not the lowest cash balance. Borrowing or changing collection milestones carries costs and conditions that belong in the plan.

Existing salary cost may not change with this one decision, but salaries still need cash payment. When considering a permanent hire, include pay and other ongoing obligations in a new long-run analysis. Do not substitute the short-run comparison above for a full-year operating budget.

Hypothetical case: Making may cost less but displace existing work

Suppose a factory receives a new order for 1,000 units at THB 120 each. Making them has THB 70,000 in added cost for materials, setup, quality checks, and other items that change with the order, leaving THB 50,000 before existing costs. But shared machine time would displace THB 25,000 in contribution from older work. The net added benefit against declining the order is therefore THB 25,000.

Buying from an outside manufacturer costs THB 90,000 including freight and acceptance checks, leaving THB 30,000. Assume it preserves all the old work, so it exceeds making by THB 5,000. Both options must deliver 1,000 good units on time with no other changes, and the THB 25,000 from old work must be a real return forgone, not gross sales.

If expected losses from an outside supplier's quality or delivery risk exceed that difference, buying may no longer win. Estimate the risk from test evidence and agreement terms; do not invent a number to force the outcome you prefer.

If orders become steady, another option is a new machine. Assess its capital cost, useful life, maintenance, confirmed volume, and the time value of money. Buying a machine is not the answer merely because in-house cost per unit looks lower.

Separate what is known from what needs testing

A forecast table looks certain because it contains numbers, but contractor prices, acceptance time, and reuse volume may be unconfirmed. Put the data owner and check date beside each important assumption. Prepare a base, better, and worse case without calling the base case guaranteed.

Pick the conditions that change the answer: a higher outside fee erasing the advantage, volume below the cost-equality point, or late customer payment pushing cash below an acceptable balance. Those are the numbers to follow; not every figure needs equal attention.

Name the decision maker, information to confirm, and review point before starting. If quality or permission to access data is mandatory, treat it as a pass-or-fail gate before calculating money, rather than offsetting a failure with a low-price score in a weighted table.

A factory compares making and buying while keeping its existing work in the plan
A make-or-buy choice must include displaced work and its effect on cash.

End the series with a reusable decision sheet

Across eight episodes, we began with limited resources, separated output from cost, examined revenue and returns, then considered scale, markets, and price. These ideas meet when a business chooses where to put its capacity and money under the conditions it actually faces.

I would take one pending decision and enter it in the table below. Leave unknowns blank, then collect the information that could change the answer. Knowing what evidence is missing is more useful than filling every cell with a guess.

This series ends with production, cost, market, and firm-level decisions within its stated scope. It does not cover all economics. Interest rates, inflation, exchange rates, and effects on other people need more data and additional frameworks. Do not use these examples alone to decide those matters.

One decision sheet: state the conditions before approving
SpecifySystems-team exampleManufacturing example
Options and periodTake A, B, both with outsourced review, or delay this monthMake, buy, or decline this order
Actual constraintReviewer hours and capacity in other team stepsMachine hours, quality, and delivery date
Money changed from baselineAdded revenue, added cost, and return on work forgoneOrder cost and contribution from older work displaced
Cash gapPayments before each receipt and total business cashMaterial deposits, customer credit, and collection cycle
Unconfirmed informationOutside reviewer's availability and rechecking timeTest units and outside supplier capacity
Stop or review conditionQuality failure or cost that changes the returnScrap beyond the limit or delivery harming older work

Common questions

Can we always choose the job with the highest contribution per hour?

No. Jobs may be indivisible, several constraints may apply, or there may be no work for hours left over. Compare feasible combinations, including quality, cash, and existing obligations.

When should we move from outsourcing a task to hiring a permanent team?

When volume and continuity are evidenced well enough to assess the long-run obligation. Compare costs across the full period, needed skills, cash, and risk. The contribution of one job does not justify an ongoing hire by itself.

Concept sources

This episode applies choices under limited resources, opportunity cost, and short- and long-run costs to a decision sheet. OpenStax 2.1, 7.1, and 7.5 below offer more background. The software, SI, Odoo Partner, and manufacturing cases are hypothetical comparisons, not operating results or tests from real organizations.

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