The time elapsed between the start of a process and its completion may seem trivial... until it starts costing you money. That sums up the value of tracking lead time in industry 💸

Late orders, accumulating non-conformities, overloaded teams, unhappy customers: a poorly managed lead time slows down your operations and weakens your competitiveness.  

But then, how do you take action? Where do these delays actually come from? 

Why is it so difficult to anticipate them, reduce them and, above all, make them reliable over time?  

In this article, we dissect the most common causes of lead time slippage together.  

You will discover how to move from a vague view to a clear and actionable understanding of your real lead times, through your quality processes.  

The goal is simple: to give you the options to regain control, speed up your cycles without sacrificing quality and create a more responsive and efficient organisation.  

Are you ready to transform your lead times into a sustainable competitive advantage? then let's get started.

What is lead time?

Lead time, or execution delay, refers to the total time elapsed between the start of a process and its end ⏱️

In other words, from the initial order to the delivery of the final product.  

In an industrial environment, understanding and mastering this lead time is fundamental to optimising the organisation, meeting commitments and improving competitiveness.  

Let’s take an example.

An automotive component manufacturer receives a customer order on Monday morning 📅

They must first gather the necessary parts (supplier lead time), then launch manufacturing (production lead time), then transport the finished product to the customer (delivery lead time). 

If this entire process takes 15 days, then the lead time is 15 days.  

This period of time can hide many sources of inefficiency: production queues, stockouts, waiting for suppliers, logistical delays...  

By mapping the components of lead time, you identify friction points and can implement concrete actions to reduce them.

Difference between lead time, cycle time and throughput time

It is common to confuse lead time, cycle time and throughput time 🤯

Yet, each indicator in your quality reporting has its own specificity.  

Lead time considers the total time, from the customer's point of view: from the received order to delivery. It is the most encompassing.  

Cycle time only measures the active transformation time of a product, i.e., the actual working time of a manufacturing operation—without including waiting times. It therefore reflects internal productivity.  

Finally, throughput time covers the time an item spends in the production chain, taking into account stops, queues or idle time. It provides a complete view of the internal flow.  

To properly manage your industrial operations, these three indicators are complementary. But lead time remains the reference indicator to measure responsiveness as perceived by the customer.

Why lead time is a key indicator in industry

Reducing lead time must be perceived as a strategic challenge 🤓

In an increasingly competitive industrial market, companies that deliver faster win market share, build customer loyalty better and show agility in the face of demand.  

A reduced lead time helps improve customer satisfaction, increase flexibility and gain reliability on commitments. 

In sectors like aerospace or automotive, customers demand precise deadlines and penalise any delay.  

But the challenge is also financial. A long lead time generates more stock, more space occupied, more tied-up capital. 

This impacts your cash flow and increases the risk of obsolescence.  

On the production side, a lead time that is too high can signal poorly sized processes, bottlenecks or strong dependencies on certain suppliers.  

Finally, in a lean or agile strategy, lead time is a central KPI to measure and improve operational efficiency. 

Better than any other indicator, it reveals the elasticity of your supply chain and your ability to respond quickly to demand.  

The most successful industrial companies do not just measure it. They actively manage it at all stages.

The different types of lead time

Lead time can differ because it depends on the context and the point of view adopted 🙄

Identifying their variety helps to better target your levers for improvement.  

Manufacturing lead time refers to the fabrication delay. 

It runs from the production order to the end of assembly. If your machines are running but waiting for components, this lead time increases.  

Procurement lead time, or supplier lead time.

It begins when you place an order with your supplier and ends upon receipt. It depends on the reliability of your partners and the availability of raw materials.  

Customer lead time, or the delay experienced by the customer.

Central, the customer lead time corresponds to the time between the customer's order and the receipt of their product.  

Order lead time.

It covers the entire order cycle, from entry to preparation, manufacturing and delivery. It encompasses internal and external lead times.  

Then, the delivery lead time.

Focused on the logistical dimension, it corresponds to the time required to ship finished goods to the customer, once production is completed.  

Finally, in project management, lead time refers to the time elapsed between the planning of an activity and its actual execution. It makes it possible to set margins of maneuver and smooth resources.  

Understanding these nuances allows you to better prioritise your efforts in reducing delays.

Factors that influence lead time in production

Why does a lead time become too long? 😥

Several causes come into play, often combined.  

First, the availability of raw materials plays a crucial role. A shortage or uncertain supply extends the process right from the start.  

Next comes the actual processing time, which is the capacity of your equipment to produce without interruptions, without recurring breakdowns and without queues.  

The reliability of your suppliers is also decisive. A partner delivering late or with differences in quality disrupts your entire supply chain.  

The inventory level and procurement strategy have a major impact. Too much inventory increases costs, but too little creates interruptions. The balance relies on accurate forecasts and precise steering.  

Logistics performance, from internal transport to final distribution, conditions delivery lead time. Transport delays, slow handling, preparation errors can unnecessarily lengthen the cycle.  

Finally, the level of automation and digitalisation changes the game. 

The more manual and siloed your processes are, the more time you lose between each step. A well-integrated ERP or SaaS system drastically reduces this waste.  

Our industrial clients find that by working simultaneously on these six levers, they reduce their overall lead time by 20 to 40% over a 12-month horizon.

How to calculate lead time?

Calculating lead time allows you to visualise precisely the journey of a product or service, from order to delivery ⏱️

This tangible data is essential to optimise the value chain of your supply chain.

The most common formula is:

Lead time = Procurement time + Production time + Delivery time

It sounds simple. And yet, in industrial reality, each component of this calculation can hide delays, hazards or inefficiencies.

For example, if you have to wait 3 days to receive your raw materials (procurement lead time), spend 4 days in manufacturing (manufacturing lead time), then 2 days in transit (delivery lead time), your overall lead time is then 9 days.

But beware: we also distinguish lead time by flow type. 

A project lead time is calculated differently from a customer order lead time or a production batch lead time.

Let’s take a concrete case: in an electronic components factory, a customer order goes through three stages.

- 2 days to procure specific parts

- 1 day of production cycle on an automated line

- 1 day to test, pack and ship

Result: Total lead time = 4 days

When measuring your execution delay, remember to take into account all sources of waiting: inventory waiting, quality control stations, technical interruptions…

At Yxir, we help our clients map each segment of lead time to measure it precisely and identify optimisation levers in a few weeks.

Lead time vs cycle time: understanding the differences

Lead time and cycle time: these two indicators are often confused 😵‍💫 

However, distinguishing them well means better guiding your improvement actions.

Lead time corresponds to the total delay between order and delivery. 

This is the customer's point of view. It includes active and passive durations: processing, preparation, but also waiting, interruptions, movements.

On the other hand, cycle time focuses on active processing time: is the time required for a production operation, without waiting or transport times.

Let’s use a simple analogy. 

You order a pizza 🍕

- 25 minutes elapse between the moment you call and the moment you receive the hot pizza at home - lead time

- The pizza maker spent 5 minutes preparing and baking it - cycle time

In the same way, in an industrial environment, cycle time allows you to measure the operational performance of a workstation, while lead time offers a broader, customer-oriented and supply-chain-oriented vision.

The two indicators are complementary.

Cycle time helps you improve your internal resources. Lead time helps improve customer experience and reduce waste.

5 techniques for reducing lead time

Reducing lead time is not just about going faster 🏎️

Above all, it is about better orchestrating all processes, avoiding interruptions, optimising resources and improving collaboration within your supply chain.

Here are five powerful levers to activate.

1. Automate and digitalise your key processes

Tools like modern ERP, QMS or no-code platforms make it possible to improve or eliminate manual entries, rework and smooth out the flow of information.

2. Optimise your inventory with predictive algorithms

The traditional approach relies on historical forecasts. 

With artificial intelligence, you can now anticipate demand with more reliability and adjust your inventory levels in real time.

3. Work in real time with your suppliers

The relationship with your suppliers has a strong impact on the performance of your activity: it offers more responsiveness, less waiting. 

Collaborative solutions (supplier portals, automatic alerts, sharing of forecasts) strengthen transparency and reduce procurement lead times.

4. Identify and address bottlenecks

Analyse the stages where products stagnate. 

A simple value stream map often reveals square metres and hours wasted unnecessarily.

5. Apply lean methods like Kanban or Just-In-Time

Lean management methods allow you to synchronise production and demand, reduce work in progress and fluidify flows.

We support our industrial clients with operational tools directly connected to their field reality, so that a 20 to 40% reduction in lead time is not just a goal, but a measurable result.

Tools to measure and manage lead time

Effectively measuring lead time is the starting point of any supply chain optimisation strategy.

The good news? You no longer need complex spreadsheets or manual reporting.

Today, modern tools allow you to visualise your lead times in real time, identify bottlenecks and manage industrial performance indicators.

Indicators to track include:

- Average lead time (global or by product family)

- Gaps between planned and actual lead time

- Evolution of assembly, delivery or supplier lead times

- On-time delivery rate (OTIF)

By combining these indicators, you move from a static view to a dynamic management of lead time, capable of responding to hazards in the supply chain.

Artificial intelligence supporting lead time optimisation

Artificial intelligence or AI is transforming lead time management in industry.

Why? Because it allows a shift from reactive logic to a predictive and autonomous approach.

By digitalising your activity tracking, you gain reliability in customer promises, reduce capital tied up in stock and improve the overall responsiveness of your teams to fluctuating flows.

We believe that tomorrow, artificial intelligence will be the norm in the operational management of industrial lead times.

By this stage, you will have understood: lead time deserves your full attention 😋

In a demanding industrial environment, where pressure on deadlines, quality and costs is intensifying, mastering lead time becomes a capacity to accelerate performance.

But to hope to optimise it effectively, we must first decode its complexity.

Because a delay, or an abnormal lengthening of processing time, is never accidental.

It is often the symptom of a tangle of factors: unreliable suppliers, rigid production schedules, lack of visibility on stock, scattered manual processes, or siloed information systems.

This means one thing: to regain control, it is valuable to analyse the overall lead time in detail.

Steps must be broken down, bottlenecks identified and action taken where the potential for improvement is truly significant.

And this is precisely where digital technologies support you on a daily basis.

Today, thanks to next-generation SaaS platforms, the interconnection of industrial data and the contributions of artificial intelligence, it is becoming possible to automate flow monitoring, detect anomalies in real time and predict delays with unprecedented accuracy.

Far from replacing business experts, these tools strengthen their capacity for attention and decision-making.

They allow for faster action, sometimes even before a blockage occurs.

And above all, they facilitate the implementation of a continuous improvement approach driven by data.

This is the approach we develop at Yxir: intelligent management of quality processes, directly linked to your industrial performance objectives.