Lead time in the supply chain: how to reduce component risk in industrial automation

October 15, 2026. 7 mins read

Every plant runs on the assumption that a failed part can be replaced before it costs money. That assumption is getting harder to hold. Lead time in the supply chain has stretched and grown less predictable.

Deloitte put the average lead time for production materials at 79 days in April 2024, down from a peak of 100 days in 2022 but still well above the 65 days that were normal in 2019 [1]. For a line that depends on a specific drive or controller, that gap between a failure and a delivery is where component risk in industrial automation turns into lost output.

Costs increase fast once a line stops. Siemens found that the time taken to get production running again after an unplanned stop rose from 49 minutes in 2019 to 81 minutes, partly because emergency replacements are harder to source than they used to be [2]. A long lead time is the difference between a short stop and a line down for weeks waiting on a part.

This article sets out how to manage that risk in practice. It covers what lead time risk is, why automation components are more exposed than general goods and the steps a plant can take to shorten the gap. If you’re interested in the wider strategy those steps sit inside, our complete guide to sourcing and managing automation components in a disrupted supply chain covers the full sourcing picture.

What is lead time risk in the supply chain?

Lead time risk is the chance that a component cannot be obtained quickly enough to avoid an unacceptable stop. It combines how long a part takes to arrive, and how variable that time is.

A part with a long but reliable lead time can be planned around. A part whose lead time swings from days to months under pressure is far more dangerous, because the plan built on the short figure fails exactly when the supply chain tightens. Good lead time management starts with separating the two, because the variability is usually the part that hurts.

For industrial automation, the risk is sharper than for most goods. Demand for any single spare is low and irregular, the parts are specialised and the original manufacturer may have moved on. When you order a common consumable, a late delivery is an inconvenience. When ordering a discontinued I/O module for a line that is already down, the lead time decides how much production you lose.

Why long lead times hit automation hardest

Automation components carry lead time risk that general goods do not, for reasons built into how they are made and used. The parts sit in service for years, depend on constrained electronics and are produced in small runs. A delay a retailer absorbs in days can keep a plant waiting for weeks.

The main pressure points are consistent across plants:

Low production volumes - Specialised controllers and drives are built in smaller batches than consumer parts, so there is little spare stock in the channel when demand spikes.
Semiconductor dependence - Programmable controllers and drives rely on chips, and when chip supply tightens, the finished components inherit the delay.
Long service life - An asset installed years ago still needs spares, long after the part has left mainstream production and stock has thinned out.
Single points of failure - Many critical parts are bought from one supplier in one region, so a single delay becomes a line stoppage with no qualified alternative on file.

A long lead time on a low-volume part bought from a single source is the combination that turns a routine failure into an extended outage, and it is more common than most plants assume. The semiconductor shortage proved the point at scale. Our piece on learning from the global chip shortage draws out the lessons for parts buyers.

How can plants reduce lead time and the risk that comes with it?

To reduce lead time and the exposure it creates is a sequence, not a single fix. The aim is to know the real risk on every critical part, then close the largest gaps first. A practical programme runs in order:

Map the real lead time for every critical component, using actual order history instead of the supplier's quoted figure.
Identify the parts where that lead time is longer than the plant can survive on the spares it already holds.
Rank those parts by what the line loses if each one fails, so effort goes where a stop is most expensive.
Line up a second route to the highest-risk parts through EU Automation, so one supplier delay does not stop the line.
Hold buffer stock for the few components with the longest lead times and the highest criticality.
Track actual delivery performance over time and adjust the rankings and buffers as lead times move.

The first step is the one most plants skip. Quoted lead times and real lead times diverge sharply under stress, and a plan built on the catalogue number breaks the moment supply tightens. Order history tells you what happened, which is the only figure worth planning against.

Engineer inspecting a FANUC servo drive before shipping a replacement automation component

When does holding buffer stock make sense?

Buffer stock is the most direct way to bridge a long lead time, but it is not free, so it has to be selective. Holding inventory ties up capital and storage space, and carrying costs typically run at 20% to 30% of the inventory value each year [3]. You don't want to spend funds buying a part for it to sit on a shelf for a decade, so the question is which parts earn their place in the store.

The answer comes from criticality and lead time together. A part that is cheap to hold, slow to arrive and critical to a line is an obvious spare. A part that arrives in days or rarely fails usually is not.

The formal version of this judgement is the reorder point, which the ASCM Supply Chain Dictionary describes as the demand expected during the lead time plus a safety-stock allowance for variability [4]. In a maintenance store, the same logic applies to single critical spares. The longer and less predictable the lead time, the more cover you need to hold.

Stock the parts whose absence would be most expensive, and no more. A plant that tries to hold everything ties up cash it does not need to, while a plant that holds nothing gambles the line on every delivery. The balance point sits between the two, and it is different for every asset.

Why a qualified second source matters

A second source is the other half of lead time risk management, and it addresses the danger that buffer stock cannot. Even a well-stocked plant runs out eventually, and a single supplier in a single region is a concentrated risk the day that supplier cannot deliver.

McKinsey's 2024 survey found that 73% of supply chain leaders were making progress on dual-sourcing, a sign of how widely single-source exposure is now treated as a problem worth fixing [5].

Speed of response is the reason it matters so much. The same research found it takes companies an average of two weeks just to plan and execute a response once a disruption hits [5]. A qualified alternative already on file removes most of that delay, because the sourcing decision has been made before the failure rather than during it.

For obsolete and hard-to-find parts in particular, a second route to the component is often the only thing standing between a planned repair and an emergency upgrade. EU Automation supplies current, hard-to-find and obsolete industrial automation components, which gives plants a reliable alternative source for the parts that a single supplier can no longer deliver in time.

Building lead time risk into asset management

Lead time risk is best handled as part of a wider asset management plan rather than a scramble after each failure. ISO 55000, the international asset management standard, frames the goal as realising value from assets across their whole life cycle and weighing total lifecycle cost rather than the cost of a single repair [6]. A spare held against a long lead time failure is part of that lifecycle cost, not an overhead to cut in isolation.

Seen that way, lead time management stops being a procurement chore and becomes a reliability decision. The components most likely to stop a line, the ones with the longest and least predictable lead times, are exactly where planning effort pays back. Our complete guide to industrial maintenance strategies sets out where those decisions sit within the bigger maintenance picture.

Conclusion

Lead time risk is one of the few supply chain exposures a plant can largely design out in advance. It comes down to knowing the real lead time on every critical part, ranking those parts by the cost of a stop, qualifying a second source where one supplier is too much risk and stocking only the spares whose absence would hurt most.

Handled this way, a long lead time becomes a planned-for number rather than a crisis discovered the day a part fails. Automation components make the work harder, because they are specialised, long-lived and prone to thin supply, but the method is the same and the payoff is a line that keeps running while others wait.

Lead time planning only pays off if the part arrives when the schedule says it should. EU Automation supplies the parts behind that plan, from everyday spares to modules the original maker has long discontinued, so a replacement booked in advance is never held up by an empty shelf. That is what turns a known lead time into a date a plant can plan for.