Manufacturing

Delivery times slipping — again?

When deliveries slip, the reflex is to tighten planning: more meetings, more expediting, more frequent status updates. But planning can’t save a flow that is broken. Long and unreliable delivery times are almost always a symptom of too much work in progress, an overloaded bottleneck or unstable processes — and none of that is solved in the planning meeting.

Does this sound familiar?

Expediting and “red orders” have become a fixed role or routine

The lead time is many times longer than the pure process time

Forecasts and plans are constantly reshuffled, and everyone chases the same rush orders

One particular process always has a queue in front of it — and idle time behind

Behind the symptom

The typical root causes

Too much started

Little’s law is merciless: lead time = work in progress ÷ throughput. The more you start to “get ahead”, the longer the queues become — and the later everything is delivered.

The bottleneck isn’t managed

The whole factory’s output is determined by the slowest process. If the bottleneck stands idle during breaks, waits for material or produces scrap, delivery performance is lost that can never be recovered.

Rush orders create more rush orders

Every time an order jumps the queue, all the others are delayed — and then also become rush orders. Expediting is a spiral that amplifies the problem it tries to solve.

The way out

What actually works

01

Limit work in progress

Set a ceiling on how much may be in progress, and release new orders only when something is finished. It feels counterintuitive — and it is the fastest route to shorter lead time.

02

Find and protect the bottleneck

Identify the real constraint and make sure it never stands idle: staffed breaks, material ready, quality secured before — the rest of the flow must be subordinated to its rhythm.

03

Stabilise before you promise

Measure the actual lead time and its variation, and promise customers what the flow can hold. Credible delivery times are built on stable processes — not on optimistic plans.

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