ON
THE IMPORTANCE OF LEAD-TIMES (PDF
Version)
Introduction
If
your company is like most, you've undertaken
multiple initiatives in the last 5-10 years
to take inventory out of the supply chain. One
or more of these initiatives has probably focused
on improving forecast accuracy or installing
advanced planning systems - both valuable areas
of focus - as the means to reduce inventory
levels.
Unfortunately,
such initiatives frequently gloss over the topic
of lead-times, using worst-case lead-time scenarios
as the assumptions that feed new planning systems.
These assumptions are rarely if ever updated,
and worse yet, little if anything is done to
improve actually lead-time performance. In fact,
lead-time is one of the most important factors
that drive cycle and safety stock, and tremendous
gains can be realized by focusing on and improving
lead-times.
Getting
to know lead-times
Most
people think of "lead-time" as the time it takes
to get a direct material order from a given
supplier or plant. While order-to-delivery is
an important part of lead-time, classic inventory
formulas - which underlie all inventory planning
systems - also include all of the steps between
hitting a reorder point and placing a replenishment
order, as well as the time it takes to receive
inventory, as part of lead-time:

In addition to inventory lead-time, forecast
lead-time also has an important effect on inventory.
Forecast lead-time is the delay between receiving
customer demand information and generating an
updated demand forecast:
The
opportunity in lead-time reduction
There are two types of inventory at every stage
in your supply chain: cycle stock and safety
stock. Cycle stock is the material you need
to cover average demand during the inventory
lead-time period. Safety stock is the material
you keep 'just in case' to cover the variability
in demand (versus forecast) and in lead time
itself during the inventory lead-time period
-- in other words, it's extra material to cover
spikes in demand and unusually long resupply
periods:

Note:
assumes equal cycle and safety stock, and order
quantities set to cover lead time interval
Those forecasting and planning initiatives we
talked about earlier focus on reducing safety
stock through better forecasting, and on getting
the total of cycle and safety stock 'right'
across every product in your supply chain. For
many companies these initiatives significantly
reduce total stock; in other cases, results
have been less pronounced and occasionally counterproductive
(for botched implementations).
Could you get comparable benefits by focusing
on lead-times? Let's say you were able reduce
inventory and forecast lead-times by 50% - a
number of interesting things happen:
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- First,
the cycle stock you need to cover average
demand during the lead-time period drops
by 50%
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- Second,
the period of time your forecast needs
to cover is also 50% less, meaning that
for the same 'quality' forecast, variability
and therefore safety stock is reduced
by 29%*
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- Third,
not only do your forecasts cover a shorter
period of time, they also improve in
quality because that time period is
not so far in the future (think of the
difference between a 1-day and 5-day
weather forecast). A 25-50% improvement
in forecast quality can further reduce
safety stock by the same amount - 25-50%
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In
other words, if you could reduce lead-times by
50%, your company could realize a 48-57% reduction
in total inventory. That means 75-108% faster
turns and 48-57% less money tied up in inventory
and exposed to obsolescence risks.
How
to get the lead-time out
The
good news is that in most cases, reducing lead-times
is not about a massive or capital intensive
restructuring of the physical supply chain.
Reducing lead-times is about speeding up information
flows and changing the way processes work across
and within companies.
That's
where Co-Plenish comes in. We have experience
in improving business processes for the supply
chain, and with relevant supporting technologies,
so we can help you squeeze lead-time out of
your supply chain.
Because
after all, lead-time is money.
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