Demand Planning Course - 2 day Training Workshop
This comprehensive demand planning course includes the content
of the 1 day introductory course and covers additional forecasting methods,
and forecast accuracy measurement. Although
essentially a demand planning course this training also includes
aspects of supply planning including the basics
of inventory management and safety stock calculation. The role of demand planning within a typical S&OP process
Who should attend:
The two day demand planning training is suitable for those looking
to gain an in-depth understanding of demand planning and forecasting
methods and process. It is our most popular course and is attended by people from
a wide range of job roles in areas such as demand planning, forecasting,
operations and supply chain. Delegates come from many
different industry sectors spanning consumer goods, pharmaceuticals, high
tech, financial sevices and industrial sectors.
For prices please complete a
request form giving the course(s) of interest and the expected number of
delegates. Alternatively, feel free to email us at
Knowledge of a wide range of forecasting
methods for demand forecasting over the short term and medium term
Understanding of how a suitable forecasting
model can be chosen and it's parameters calibrated.
Appreciation of basic methods for inventory
management and calculation of safety stocks taking volatility into
Sufficient insight to support consideration of potential improvements to the
company's existing methods and procedures.
Typical Course Content:
The purpose of forecasting, short-term and
medium term. Alternative approaches to demand forecasting
including subjective methods, causal analysis and time series
The importance of a good seasonal analysis.
Different ways of dealing with seasonality. Example of a simple
way to calculate a set of seasonal indices and make use of this in
Curve fitting as a way of projecting the sales
trend. This covers straight line fitting plus a number of other
types of curve.
Time series forecasting starting with simple moving average
as a basic method of demand forecasting.
Introduction to exponential smoothing
including worked example of some simple forms of this family of
Forecasting for new products and some
practical ways of dealing with this difficult subject.
Discussion around demand forecasting for promotions
and some methods for dealing with
The need to cleanse historical data prior to statistical
Forecast accuracy measurement
and the most effective measures to use in accuracy reporting. A worked example is
given to illustrate the most usual methods.
Further examples of time series forecasting
with exponential smoothing
including some worked examples and explanation of the full range of
possibilities in this extensive family of methods. Dealing with
abnormal historical data.
Some basic methods for inventory planning
including choice of the
timing and size of stock replenishment orders. Calculation of
safety stocks for fast moving and slow moving items. Forecasting
and planning for intermittent demand.
Calculation of a stock development plan in
conditions of infinite supply or constrained supply. Management
of abnormal demand.
If the company operates in a consumer goods
market, the availability of EPOS data and its
potential use in forecasting and planning.
Forecasting in the context of a sales and
operations planning process. Considerations around demand forecasting
for the medium term as opposed to short term horizon.
The six steps in a typical demand forecasting
process and consideration of best practice in forecasting for
the specific company.
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