In this session we look into how to leverage your data data to optimise your supply chain.
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2. How much stock should I hold?
What I expect to sell before more stock is available
+
Buffer in case I sell more than expected
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3. How much stock should I hold?
Lead time sales
+
Safety stock
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4. Let’s talk safety stock
How much safety stock do I need?
E xpe c t ed s a l e s
250
200
150
100
50
0
Expected Stock v Time
0 2 4 6 8 10 12
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5. Let’s talk safety stock
How much safety stock do I need?
E xpe c t ed s a l e s != a c tua l s a l e s
250
200
150
100
50
0
Expected Stock v Time
0 2 4 6 8 10 12
250
200
150
100
50
0
Actual Stock v Time
0 2 4 6 8 10 12
Safety
stock
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6. Let’s talk safety stock
How much safety stock do I need?
E xpe c t ed s a l e s != a c tua l s a l e s
Conf idenc e i n h a v i n g e n o u g h s to c k = S e r v i c e l e v e l
Wa n t h igh e r s e r v i c e l e v e l s ? Ke e p mor e s a f e t y s toc k
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7. Calculating safety stock
The standard AX approach
Ca l c u l a t e
minimums u s i n g
t h e s a f e t y s toc k
journa l .
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8. What we just saw
Calculate minimum stock levels based on
Historical issues and receipts
Target service level
Analyse impact on inventory value
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9. There are some challenges with this!
We u s e d t h e s ame s e r v i c e l e v e l f o r a l l i t ems .
E v en i f t h e y a r e r e a l l y e xpens i v e …
a n d v e r y s low mov ing !
T h i s i s t h e h e a r t of a n S&OP game pl an …
B u t i t ignor e s t h e s a l e s for e c a s t !
W e h a v e m i n i m u m s … wh a t about ma x imums ?
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10. An integrated view
For sales and operations planning
Supply
Performance
Demand
Planning
Actual
Sales
Statistical forecast baseline
Manual forecast adjustment
- Promotions
- NPD
- etc
Supply
Planning
Review
- Lead times
- Forecast accuracy
- Minimum stock
- Economic order quantities
Forecast
Accuracy
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11. Step 1: Demand planning
Use any demand forecasting tool.
If you don’t have one use standard AX 2012 R3.
What you need to know
Simple demand forecasting with an Excel front end for review and adjustment
Detects seasonality
Doesn’t incorporate promotions
2 algorithms
Operational planning – short horizon
Business planning – long horizon
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12. Step 2: Review supplier performance
Use cube
Review % on time, late, and early
Revise lead times where the statistics suggest you should
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13. Step 3: Review supply parameters
Lead time sales
+
Safety stock
Forecast sales
within the lead
time.
Service level x
Confidence in
Forecast x
Confidence
Lead time.
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14. The maths
Some common calculations
Item coverage minimum = safety stock + lead time forecast sales
Item coverage maximum = minimum + economic order quantity
Safety stock = std. dev. (forecast variance) x std. dev. (lead time
variance) x service factor x lead time factor
Service factor = function(service level)
There are a number of possibilities as to what the function should be. We assumed a the error was
normally distributed and used an equivalent of the Excel function NORMSINV
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15. The Dark Cockpit Principle
Use data to
turn the lights
on!
Make
information
actionable.
Focus and
automate.
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16. We’re forgetting something!
We u s e d t h e s ame s e r v i c e l e v e l f o r a l l i t ems .
E v en i f t h e y a r e r e a l l y e xpens i v e …
a n d v e r y s low mov ing !
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17. How else can we leverage data in our
supply chain?
Warehouse workforce planning
Calculate average picking time
Estimate effort based on upcoming forecast
Range planning
Use the inventory value cube
Identify the worst performing products based on revenue contribution rank
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18. What we covered
S&OP and the Dark Cockpit Theory
Demand Planning Supply Planning
Demand
Forecasting
Demand
Review
Inventory
Planning
Workforce
Planning
Range
Planning
Focus Focus
Automate
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19. Thank you
Email: douglas.daley@intergen.com.au
Twitter: @TeamIntergen