1. What you will learn
This lesson helps you define what you want from production planning and cost control in outcome terms, and then run a short diagnostic on your unit to find where you stand. You will finish with an outcome map of three to five results, each tied to a number you can read from your own records.
2. The idea explained
An outcome is a change in the business that you can see in the numbers, such as fewer late deliveries, lower material wastage or a known cost for each product. It differs from an activity, such as attending training or buying a new machine. Owners often set activity goals because they are easy to tick, but a machine bought without a planned improvement in output, quality or cost is only spending. The outcome map forces you to start from the result you want and work backward to the actions that could produce it. For a production business, most useful outcomes fall into five families: delivery reliability, unit cost, quality, capacity use and cash tied up in stock and work in progress.
A diagnostic is a structured look at the current position across those families. It does not need to be long. For each family you ask three things: what number tells me how I am doing, what is that number today, and what would a good number look like for a unit like mine. The third question is the hardest, because good depends on your product and market. Instead of copying figures from a book or a competitor, use your own best month as a first target. If your best month had 3 per cent rejections, then achieving that every month is a fair first goal, and it is one you have already proved is possible.
The diagnostic also looks for the constraint, the single factor limiting the unit most at present. It might be demand, which means machines sit idle for want of orders. It might be capacity, which means orders wait for machine time. It might be cash, which means you cannot buy material even when orders exist. Or it might be management time, meaning you are the only person who can decide. Naming the constraint prevents you from spending effort on things that do not move the result.
Apply it
3. How to apply it in your own business
Start with a page headed outcomes I want in ninety days. Write no more than five lines. Each line must have a measure, today's value and a target value, for example late deliveries per month from six to two. If you do not know today's value, the first action under that outcome is to find it, which is itself progress. Put the outcomes in priority order, and mark the one that would matter most if you could only achieve one.
Then run the diagnostic. For delivery reliability, count orders in the last month and how many left after the promised date. For unit cost, take your top product and add material, labour and a fair share of overhead. For quality, count rejected and reworked pieces. For capacity, compare hours the main machine actually ran with hours available. For cash, note stock value and money owed by customers. Write each result beside the outcome it informs.
Finally, name your constraint by asking a plain question: if I got ten more orders tomorrow, could I make and deliver them, and could I afford the material? If the answer is no because machines are busy, capacity is the constraint. If no because there is no money for material, it is cash. If yes, then demand is your limit, and production improvements alone will not grow the business. Write the answer and one sentence explaining it.
Worked example
4. Worked example
Take a small foundry that casts pump parts. The owner, Vikram, writes four outcomes: late orders from six a month to two, rejection from 8 per cent to 5 per cent, known cost for his top three parts, and stock value reduced by 20 per cent.
His diagnostic shows: 30 orders last month, of which 6 were late, which is 20 per cent late. He cast 1,000 pieces and 80 were rejected, which is 8 per cent. His melting furnace ran 160 hours of the 208 available hours in the month, so use was 160 divided by 208, about 77 per cent. Stock of finished and semi-finished parts was valued at 350,000 rupees.
A 20 per cent reduction of stock would free 70,000 rupees, since 20 per cent of 350,000 is 70,000. That amount is not profit; it is cash released from inventory, and only useful if it does not cause stock-outs on orders.
Vikram asks the ten-more-orders question. He could not make them, because the finishing shop is congested even though the furnace has spare hours. His constraint is finishing capacity, not the furnace, so buying a bigger furnace would waste money. All numbers are hypothetical.
He therefore places his first action in finishing: measure how long each part waits for grinding, and see whether a second grinder or a better order of work would help.
Vikram also learns something about honesty in targets. He had wanted to write a goal of zero late orders, but his data shows six late orders a month, and his own best month had three. Setting the first target at two is a stretch, yet it is not a fantasy, and he can revisit it after the ninety days once the real causes of lateness are visible.
He then shares the page with his finishing supervisor and asks her to add anything the numbers do not show. She points out that most late orders involved one customer whose drawings change often. That is a new fact, and it goes into the diagnostic as a note beside delivery reliability.
5. Common mistakes and how to fix them
The first mistake is setting activity goals like buying a machine, which do not say what result you expect. Rewrite each as a number in the business that should change. The second mistake is copying targets from another unit, so use your own best month as the first benchmark.
The third mistake is choosing ten outcomes, which spreads attention thin. Keep to five at most and rank them. The fourth mistake is treating every problem as a capacity problem and buying machines, when the true constraint is cash, demand or the way work is queued.
The fifth pitfall is setting outcomes once and never looking at them again. Put a review date in the calendar at thirty and sixty days, and update today values without changing the targets unless you can explain why.
Key takeaways
6. Board summary
An outcome is a change you can see in the numbers, not an activity. Five families: delivery, unit cost, quality, capacity use and cash in stock. Use your own best month as the first benchmark for good. Name the constraint: demand, capacity, cash or your own time. Keep at most five outcomes and rank them.
Check your understanding
7. Practice and self-check
Q1. What is the difference between an outcome and an activity? Answer: An outcome is a visible change in a number; an activity is something you do. Q2. Name three of the five outcome families. Answer: Delivery reliability, unit cost, quality, capacity use or cash tied up in stock. Q3. Six of 30 orders were late; what per cent is that? Answer: 20 per cent. Q4. 80 of 1,000 castings were rejected; what is the rate? Answer: 8 per cent. Q5. The furnace ran 160 of 208 hours; what is the use? Answer: About 77 per cent. Q6. A 20 per cent stock cut on 350,000 rupees frees how much? Answer: 70,000 rupees. Q7. Is freed stock money the same as profit? Answer: No; it is cash released, not earnings. Q8. What question reveals your constraint? Answer: Could I make, deliver and afford material for ten more orders tomorrow? Q9. Why did Vikram not buy a bigger furnace? Answer: The constraint was finishing capacity, not melting. Q10. What is a fair first benchmark? Answer: Your own best month.