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Open source supply chain planning software
Introduction for forecast planners
© 2016 frepple.com
Agenda
 Forecasting workflow
 Statistical forecasting
 Forecast review and analysis
 Forecast consumption
 A day in the life of a forecast planner
 Cockpit screen
 Forecast editor screen
 Forecast overview report
 Other screens
© 2016 frepple.com
Forecasting workflow
Demand
history
Proposed
Sales
Forecast
Sales
Forecast
+
Actual
orders
Demand for
production
planning
Statistical
Forecast
calculation
Forecast review
and analysis
Forecast
consumption
Workflow steps:
1. Statistical forecast generation
2. Forecast review and analysis
3. Forecast consumption
© 2016 frepple.com
Forecasting workflow
 Statistical methods to extrapolate demand history
 Moving average – flat forecast
 Single exponential – flat forecast
 Double exponential – trending demand
 Winters – seasonal demand
 Croston – intermittent demand
 Pick-best based on SMAPE forecast error
 Auto-tuning of parameters
 Outlier detection and trimming
 Calculation at lowest level or aggregate level
1
Statistical
Forecast
Generation
Sales history
Expected
future sales
© 2016 frepple.com
Forecasting workflow
 Forecast planners and sales people review the forecast
and edit it with extra information
 Review outliers in the demand history
 Add forecast values for new products
 Add promotions
 Exclude exceptional one-off sales from the demand history
 Review and editing at any level in product, location,
customer and time dimension
 Sales manager reviews
forecast for his region
 Account manager reviews
forecast for his customers
 Product manager reviews
forecast for a product range
 General manager reviews
overall forecasted sales value
 …
2
Forecast
Review
Product
Customer
Location
© 2016 frepple.com
Forecasting workflow
 Net open sales orders from forecast
 Short term demand consists primarily of customer sales
orders.
 Longer term demand consists primarily of sales forecast
 The forecast consumption logic reconciles both
into a demand signal that is consistent and
complete across the planning horizon
3
Forecast
consumption
Gross forecast: 100
Orders already received: 20
=> Net forecast: 80
© 2016 frepple.com
Agenda
 Forecasting workflow
 Statistical forecasting
 Forecast review and analysis
 Forecast consumption
 A day in the life of a forecast planner
 Cockpit screen
 Forecast editor screen
 Forecast overview report
 Other screens
© 2016 frepple.com
Cockpit screen
 All users workflows
start their work on the
cockpit screen
 Every user can
configure a personal
dashboard with the
widgets that fit his/her
tasks
 For a forecast planner
the following widgets
can be useful:
 Forecast overview
 Forecast error
 Late orders
 Short orders
© 2016 frepple.com
Forecast editor: top section
 The forecast editor is
the main screen for
demand review and
editing
 The top section allows
fast and intuitive
navigation in the
location, item and
customer hierarchies
 The bottom part of the
screen shows the
detailed information of
the selected
intersection in the
© 2016 frepple.com
Forecast editor: bottom section
 The bottom part allows
easy editing of the
selected intersection
 forecasted demand
 historical demand
 Statistical forecast
method
 Use tabs to
 Review attributes
 Edit forecast
 Leave comments
 Show the editing
history
 Use the ‘recalculate’
button to preview the
impact of your changes
on the forecast
© 2016 frepple.com
Forecast overview report
 The forecast editor
shows a single
intersection at a time
 The forecast report
allows the planner to
quickly review and edit
lots of intersections
 Display results
 Flexible filtering
capabilities
 In units or in $-value
 Graph or table
 Export data to Excel
spreadsheet or CSV-file
 Import data from Excel
spreadsheet or CSV-file
© 2016 frepple.com
 Other screens used for occasional review and analysis,
depending on the forecast planners responsabilities:
Other screens
 Alerts for demand outliers
 Drill down to review the outlier
 Alerts for customer sales orders
that will be shipped late or short
 Drill down provides detail on the
delivery plan
 Identrify the contraints causing the
delivery delay
 Sales order list showing all
customer sale orders
 Normally this list will be populated
with an automated interface from the
ERP system
 Inventory planning screen
 Also has the capability to edit forecasts
for a item+location
 For forecast planners also responsible
for some aspects of the replenishment
planning this may be useful
alternative/extension for the forecast
editor screen
 Order quoting screen
 Displays the expected delivery date for
a new customer order you are about to
enter in the ERP system
 Computes a feasible delivery date
considering all capacity, material and
lead time constraints
© 2016 frepple.com
Try it out yourself
Online demos can be accessed at:
https://manufacturing.frepple.com
https://distribution.frepple.com
User : admin
Password : admin
Hint:
Use the “guided tour” to walk through
the “day-in-the-life” workflows

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Frepple overview for forecast planners

  • 1. Open source supply chain planning software Introduction for forecast planners
  • 2. © 2016 frepple.com Agenda  Forecasting workflow  Statistical forecasting  Forecast review and analysis  Forecast consumption  A day in the life of a forecast planner  Cockpit screen  Forecast editor screen  Forecast overview report  Other screens
  • 3. © 2016 frepple.com Forecasting workflow Demand history Proposed Sales Forecast Sales Forecast + Actual orders Demand for production planning Statistical Forecast calculation Forecast review and analysis Forecast consumption Workflow steps: 1. Statistical forecast generation 2. Forecast review and analysis 3. Forecast consumption
  • 4. © 2016 frepple.com Forecasting workflow  Statistical methods to extrapolate demand history  Moving average – flat forecast  Single exponential – flat forecast  Double exponential – trending demand  Winters – seasonal demand  Croston – intermittent demand  Pick-best based on SMAPE forecast error  Auto-tuning of parameters  Outlier detection and trimming  Calculation at lowest level or aggregate level 1 Statistical Forecast Generation Sales history Expected future sales
  • 5. © 2016 frepple.com Forecasting workflow  Forecast planners and sales people review the forecast and edit it with extra information  Review outliers in the demand history  Add forecast values for new products  Add promotions  Exclude exceptional one-off sales from the demand history  Review and editing at any level in product, location, customer and time dimension  Sales manager reviews forecast for his region  Account manager reviews forecast for his customers  Product manager reviews forecast for a product range  General manager reviews overall forecasted sales value  … 2 Forecast Review Product Customer Location
  • 6. © 2016 frepple.com Forecasting workflow  Net open sales orders from forecast  Short term demand consists primarily of customer sales orders.  Longer term demand consists primarily of sales forecast  The forecast consumption logic reconciles both into a demand signal that is consistent and complete across the planning horizon 3 Forecast consumption Gross forecast: 100 Orders already received: 20 => Net forecast: 80
  • 7. © 2016 frepple.com Agenda  Forecasting workflow  Statistical forecasting  Forecast review and analysis  Forecast consumption  A day in the life of a forecast planner  Cockpit screen  Forecast editor screen  Forecast overview report  Other screens
  • 8. © 2016 frepple.com Cockpit screen  All users workflows start their work on the cockpit screen  Every user can configure a personal dashboard with the widgets that fit his/her tasks  For a forecast planner the following widgets can be useful:  Forecast overview  Forecast error  Late orders  Short orders
  • 9. © 2016 frepple.com Forecast editor: top section  The forecast editor is the main screen for demand review and editing  The top section allows fast and intuitive navigation in the location, item and customer hierarchies  The bottom part of the screen shows the detailed information of the selected intersection in the
  • 10. © 2016 frepple.com Forecast editor: bottom section  The bottom part allows easy editing of the selected intersection  forecasted demand  historical demand  Statistical forecast method  Use tabs to  Review attributes  Edit forecast  Leave comments  Show the editing history  Use the ‘recalculate’ button to preview the impact of your changes on the forecast
  • 11. © 2016 frepple.com Forecast overview report  The forecast editor shows a single intersection at a time  The forecast report allows the planner to quickly review and edit lots of intersections  Display results  Flexible filtering capabilities  In units or in $-value  Graph or table  Export data to Excel spreadsheet or CSV-file  Import data from Excel spreadsheet or CSV-file
  • 12. © 2016 frepple.com  Other screens used for occasional review and analysis, depending on the forecast planners responsabilities: Other screens  Alerts for demand outliers  Drill down to review the outlier  Alerts for customer sales orders that will be shipped late or short  Drill down provides detail on the delivery plan  Identrify the contraints causing the delivery delay  Sales order list showing all customer sale orders  Normally this list will be populated with an automated interface from the ERP system  Inventory planning screen  Also has the capability to edit forecasts for a item+location  For forecast planners also responsible for some aspects of the replenishment planning this may be useful alternative/extension for the forecast editor screen  Order quoting screen  Displays the expected delivery date for a new customer order you are about to enter in the ERP system  Computes a feasible delivery date considering all capacity, material and lead time constraints
  • 13. © 2016 frepple.com Try it out yourself Online demos can be accessed at: https://manufacturing.frepple.com https://distribution.frepple.com User : admin Password : admin Hint: Use the “guided tour” to walk through the “day-in-the-life” workflows