Title: Sales Forecasting
1Sales Forecasting Production Planning
Presented by Dr. K. Lai
2For the business game, you need to enter your
decision numbers onto a Decision Form
3Excel spreadsheet templates are available
- Several templates will be provided
- Historical Data Worksheet
- Sales Forecast Worksheet
- Shipment Orders Worksheet
- Production Schedule Worksheet
- An Excel file containing these templates can be
downloaded online at - http//www.calstatela.edu/faculty/klai/CL497.htm
- Additional lecture notes, along with some flow
charts, can also be downloaded from there.
4Use your own data from both industry and company
reports
- After opening the BPG program, you can view all
the reports available as electronic files on the
Decision Disk - Report J (see p.210 of the Players Manual for a
sample) - Historical Data for Years 1 and 2 GDP, CPI,
product sales, and product prices. - Report D (see p.215 of the Players Manual for a
sample) - Companys Current Operating Information
Output, inventory, and product sales - Report F (see pp.217-8 of the Players Manual for
a sample) - Recent Industry Information Real GDP, exchange
rates, product sales, and product prices. - Do not use any data from the trial run. The game
will be reset with new data after the trial run.
5To view company and industry data
6A top-down approach will be used for sales
forecasting
- Industry Level
- The method starts with sales forecasting at the
industry level for each market area - M1 (Merica 1)
- M2 (Merica 2)
- M3 (Merica 3)
- M4 (Nystok, Pandau, or Sereno)
- Company Level
- From industry sales forecasts, company sales
forecasts for the corresponding market areas can
then be obtained as - Company Sales Forecast
- Industry Sales Forecast Expected Market
Share
7Need to account for seasonal effects on sales
- See Section 1.A of the Lecture Notes on
Forecasting. - Seasonal Indices (p.105 of the Players Manual)
- Q1 (Winter) 0.92
- Q2 (Spring) 1.01
- Q3 (Summer) 0.91
- Q4 (Fall) 1.16
8Use a regression model to forecast industry sales
- See Section 1.B of the Lecture Notes on
Forecasting. - Dependent variable (Y)
- SA Sales Seasonally Adjusted Industry Sales
- Independent variables Predictors (X)
- Real GDP Real Gross Domestic Product
- Avg Price Industry Average Price
- Time Time Trend Index
- Note Real GDP is an often used indicator for
the general demand and business conditions. The
Time variable can capture demand changes
generated by demographic trends.
9Try a few different forecasting equations and
identify the best one
- Model 1
- SA Sales ?0 ?1 ? Real GDP ?2 ? Avg Price
- Model 2
- SA Sales ?0 ?1 ? Time
- Model 3
- SA Sales ?0 ?1 ? Time ?2 ? Real GDP
- Model 4
- SA Sales ?0 ?1 ? Time ?2 ? Real GDP ?3 ?
Avg Price - All these forecasting equations are to be
estimated using Excel on the Sales Forecast
Worksheet.
10Step-by-step forecasting exercise
- When using the Excel template for forecasting,
you should read Sections 2.A to 2.E of the
Lecture Notes on Forecasting for step-by-step
instructions. - We will go through all the steps when looking at
the template later - To start, prepare initial data on regression
variables using available historical data (see
Section 2.A). - After setting up the data, estimate the
forecasting regression equation using Excel (see
Section 2.B). - Try different models and select the model that
fits the data best (see Section 2.C). - Enter additional assumptions and your market
share projection (see Section 2.D). - Repeat the forecasting exercise steps 2 to 4
after adding new data every quarter (see Section
2.E).
11After obtaining company sales forecasts, we next
determine how much to produce
- Read Additional Notes on Production Planning
(download it from http//www.calstatela.edu/facult
y/klai/CL497.htm). - For our production analysis, we will use the
following two Excel templates together - Shipment Orders Worksheet
- This is used to estimate the need of each market
area in terms of shipments of new product units
to these market areas in coming quarters. - Production Schedule Worksheet
- This is used to determine the production
schedule needed to satisfy forecasted product
demand and inventory needs for each market area
over the next few quarters.
12To determine a production target, we need to
think about inventory management
- How much inventory to hold in each market area?
- Carrying too little inventory may lead to costly
stockouts - Stockouts can result in not only a loss of
present sales but also a loss of some future
sales. Some dissatisfied customers may not come
back. - Carrying too much inventory can be costly too
- Warehouse storage cost
- Financing cost for tying up working capital
- Product obsolescence.
13Choose an inventory ratio that balances between
over- and under-stocking costs.
- Choose an inventory-to-sales ratio for each
market area (when using the Shipment Orders
Worksheet) - Under normal situations, a ratio from 25 to 45
should be sufficient for the game. - An example Suppose the ratio is chosen to be
25. If the sales demand is forecasted to be
100,000 units, then - Desired Inventory 100,000 25 25,000
units. - The choice of inventory-to-sales ratios will
affect how many product units to be shipped to
different market areas.
14How should production be scheduled?Should
production capacity be expanded?
- See Chapters 7 8 of the BPG Players Manual
(read also Section 3 of the Lecture Notes on
Production Planning) - Normal operations 40 hours per line each week
- Schedule overtime Up to 8 hours per line
- Add second work shifts (Take 1 quarter to
complete) - Create new production lines (Take 1 quarter)
- Reactivate some idle lines (Take 1 quarter)
- Add more space to a plant (Take 2 quarters)
- Build a new plant (Take 3 quarters)
15Company Sales Forecasts by Market Area
Desired Inventory Ratio
Estimated Shipment Orders to Sales Offices by
Market Area
Planned Production Target
Production Scheduling Lines, Overtime, and
Second Shifts
Production Capacity Expansion New Lines or
Plants?
Production Cost Analysis
Capital Budgeting Analysis
16Hope you will enjoy the Business Policy Game!
- We will next look at
- how to use our Excel templates.