Inventory Optimization Workshop: Optimize your inventory
planning using demand metrics!
- Contact
us for pricing and schedule!
- Duration 3 hours - Online Web Workshop The objective of this workshop is to review the close link
between forecast accuracy and inventory optimization and discuss
the implications of forecast error for inventory strategies –
Lead time uncertainty, safety stock, and planning to forecast.
The workshop will also look at the mechanics behind the various
demand metrics.
You will learn
The
mechanics of various demand metrics used in a manufacturing
organization
The
pros and cons of the demand metrics and how forecast bias can be
controlled
The
limitations and dangers of using Weeks Forward Coverage as an
Inventory Policy Parameter
How
carefully designed demand metrics can be leveraged in inventory
management and planning
Detailed Outline of the Workshop:
Accurate and timely demand plans are a vital component of an
effective supply chain. Forecast accuracy at the SKU and DC level
is critical for proper allocation of resources, both working capital
as well as strategic assets.
Inaccurate demand forecasts often can result in supply imbalances
which could ultimately cause inferior customer service and bloated
inventories. In this session, we will discuss the process of
evaluating demand plans, the pros and cons of different demand
accuracy metrics, and the time-lag with which accuracy should be
measured. We will also consider metrics that identify and track
forecast bias.
With the above background, we will discuss how demand metrics can
be leveraged in designing scientific inventory planning parameters.
Typically, Organizations set safety stock in a set number of weeks
or months to cover unexpected demand. Such methods of safety
stock calculation as measure of weeks-forward coverage, also called
WFC, can often be unscientific and extremely dependent on the
judgment of the planner. Conceived in the slide-rule era, the WFC
magnifies the effect of an inaccurate forecast.
Here, we review some scientific methods of setting safety stock
strategies that are dependent on the history of demand error by sku.
We also show how forecast bias will qualitatively affect safety
stock policy.
Please
contact us for a customized on-site
or web workshop.
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