WOULDN'T YOU LIKE TO KNOW how the stock market was going
to behave tomorrow, whether or not there's going to be an accident on your way
to work, and if your flight is going to be delayed--and for how long? It goes
without saying--we live in a world fraught with uncertainty!
To deal with uncertainty, more often than not you build
some buffer into your life. For instance, you keep extra money in the bank just
in case the car needs major repairs. You plan to arrive at the airport 90
minutes early just in case there's a traffic jam, and you schedule your meeting
for two hours
after
you are due to land, just in case.
Companies also buffer against uncertainty. Perhaps the
most common buffer companies use is safety inventory--carrying extra inventory
just in case demand exceeds the forecast, just in case manufacturing has a
breakdown, and just in case a supplier delivery is late or short in quantity.
"A Modern View of Inventory" in the July 2004 issue of
Strategic Finance outlined the various roles of inventory and described
techniques for computing target inventory levels. This article zeroes in on
actual computation techniques to determine safety inventory levels. I'll explain
a new one that addresses inventory uncertainty and compare it with common
calculation techniques. A sample data set will demonstrate that the new
technique far outperforms other methods, so you can use it to drive business
value by achieving your customer service goals with less inventory. Let's begin.
THE ROLE OF SAFETY INVENTORY
Safety inventory protects against inventory uncertainty
by ensuring there is enough product available to maintain desired service
levels. Many factors contribute to inventory uncertainty, but three main
elements give rise to the differences between planned inventory and actual
inventory levels: demand deviations, supply deviations, and inventory accuracy.
Traditionally, the analysis of safety inventory levels has focused primarily on
demand and demand uncertainty, while supply uncertainty and inventory accuracy
aren't typically addressed explicitly in the analysis of safety inventory.
What causes the deviations? Actual demand differing from
forecast demand is the most common source of demand deviations. Supply
deviations, however, arise for a variety of reasons, including:
* Late delivery,
* Short shipments,
* Production delays,
* Production yield differing from planned, and
* Substandard materials and production.
Finally, discrepancies between actual inventory and
inventory records in corporate systems occur frequently and are often
significant. Since computer systems generally initiate the operations and
activities impacting inventory (e.g., procurement, production planning,
logistics), it's necessary to account for inventory accuracy when computing
safety inventory levels.