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Production and OEE

What is Machine downtime?

Machine downtime is time a machine is not producing when it should be. Planned versus unplanned downtime, common causes, and a free downtime cost calculator.

Quick answer

Machine downtime is any period when a machine is not producing while it is scheduled to. Unplanned downtime comes from breakdowns, material shortages or missing operators; planned downtime covers changeovers and scheduled maintenance. Its cost is the margin on parts not made plus idle labour, expediting and overtime to catch up.

Updated 30 October 2026. Written by the Ajinkya Technologies engineering team, reviewed by Amey Kadle.

How to estimate the cost of downtime

Monthly downtime cost ≈ downtime hours × good parts per hour × margin per part + downtime hours × idle labour cost per hour

Worked example: 1,200 minutes (20 hours) of unplanned downtime a month on a machine making 120 good parts an hour at ₹150 margin per part loses 2,400 parts, or ₹3,60,000 of margin. With ₹2,000 an hour of idle crew cost, the total is about ₹4,00,000 a month.

Downtime cost calculator

Free and instant. Nothing is stored or sent.

All stops, including short ones if you know them.

Selling price minus variable cost.

Crew wages while the machine is down.

Currency
Good parts not made
2,400 per month
Lost margin
₹3,60,000
Idle labour
₹40,000
Total downtime cost
₹4,00,000 per month

Machine downtime explained

Downtime is the largest and most visible OEE loss, but the reported figure is usually smaller than the real one. Long breakdowns get written down; the many short stops of one to five minutes rarely do, and neither does time lost waiting for material, inspection approval or a forklift.

Causes fall into a few families: equipment failure (mechanical, electrical, hydraulic), process problems (jams, tooling, quality holds), supply (material, utilities, upstream starvation), people (no operator, skills, breaks not covered) and planning (changeovers, trials). Each family has a different owner, which is why downtime needs a reason code that maps to who can fix it.

The practical sequence is to measure automatically first, so the totals are true; ask for reasons only for stops above a threshold; rank losses by minutes or cost; and fix the top loss before chasing the rest. Predictive maintenance reduces failure downtime, changeover reduction cuts planned downtime, and line level visibility shows when a stop on one machine starves or blocks the next.

Key concepts

  • •Planned versus unplanned downtime
  • •Short stops are the most underreported
  • •Reason codes mapped to an owner
  • •Cost = lost margin plus idle labour and catch up
  • •Starving and blocking spread one stop down the line

Questions

What is the difference between planned and unplanned downtime?

Planned downtime is scheduled in advance, such as changeovers or preventive maintenance. Unplanned downtime is unexpected, such as breakdowns, jams or material shortages.

How do you calculate the cost of downtime?

Multiply downtime hours by the good parts you would have made per hour and by the contribution margin per part, then add idle labour, overtime and expediting costs. The calculator above does the first two.

Why is our downtime higher when measured automatically?

Manual logs miss short stops and round long ones. Automatic capture from machine signals records every stop, so the total usually rises before it starts to fall.

What is the fastest way to reduce downtime?

Rank stops by total minutes for a few weeks, then fix the single largest cause. Broad programmes without that ranking spread effort too thin.

References

  • US Department of Energy FEMP: operations and maintenance in federal facilities (opens in a new tab)
  • OEE.com (Vorne): the six big losses (opens in a new tab)

How we help with downtime

Our downtime tracking takes run and stop signals straight from machines, classifies every stop, and shows the cost of each loss per line and shift; one connected line is usually the first step.

Break a machine in the 3D line demoSee the service

Interactive 3D demo with simulated data: watch OEE, counts and the plan react to a stop.

Go deeper

  • How do you reduce machine downtime?

Related terms

What is Six big losses?The six big losses are the most common causes of lost productivity in manufacturing, grouped by the OEE factor they reduce. Availability: unplanned stops and planned stops such as changeovers. Performance: small stops and slow cycles. Quality: production rejects and startup rejects. Tracking them shows where OEE is lost.What is Overall Equipment Effectiveness (OEE)?Overall equipment effectiveness (OEE) shows how much of planned production time is truly productive. It multiplies availability (running time out of planned time), performance (actual speed against ideal speed) and quality (good parts out of all parts). An OEE of 100% means only good parts, at full speed, with no stops.What is MTBF (mean time between failures)?MTBF (mean time between failures) is the average operating time a repairable machine runs between one failure and the next. It equals total operating time divided by the number of failures in the period. Higher MTBF means a more reliable machine. It is used with MTTR to calculate availability.What is MTTR (mean time to repair)?MTTR (mean time to repair) is the average time it takes to restore a failed machine to working order. It equals total repair time divided by the number of repairs. Lower MTTR means faster recovery. Combined with MTBF it gives inherent availability: MTBF divided by MTBF plus MTTR.

Want this measured on your own line?

Tell us your process, machines and ERP. An engineer, not a salesperson, replies within 24 hours with what we would measure first.

Talk to an engineerTry the interactive demos
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