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Brian Dooley
British Telecom
Head of Supply Chain Planning
A Demand-Driven Journey
• The case for change
• Enabling demand driven
• End-to-end demand driven
planning
• Results
• Key takeaways
AGENDA
Supply Chain Insights Global Summit 2017
#Imagine2030
The Case for Change
0%
20%
40%
60%
80%
100%
FC Error SKU Mix
SKUS <20% Err SKUS 20%-50% Err SKUS > 50% Err
Problem statement: Our forecasts are not
accurate enough
SKU level forecast accuracy is destroying flow:
• Schedule break ins
• Expedites
• Stock outs and over stocks
Clearly the solution is obvious
Improve forecast accuracy
$ “If I had asked people what they wanted,
they would have said faster horses”
Henry Ford
Or are we solving the wrong problem
Supply Chain Insights Global Summit 2017
#Imagine2030
Enabling Demand Driven
Red
Base
Red
Safety
Yellow
Green
Determines supply order generation
frequency & size, is the larger of:
- MOQ
- Desired order cycle
- ADU x Lead Time x Lead Time factor
The heart of the demand coverage
in the buffer
- Always sized as 100% ADU x
Lead Time
The embedded safety in the buffer
- Red zone base established
based on lead time factor
= ADU x Lead Time x Lead Time
factor
- Red zone safety is determined by
variability factor
= Red zone base x variability
factor
OnHandStockOpenPurchaseOrders
Open
Customer
Orders
Net Flow
Net Flow = On Hand + Open PO’s
– Open
Customer Orders
Triggering a Purchase Order
When net flow drops out of the
green zone a PO is placed to take
the net flow position back to the top
of green
DDMRP
Supply Demand
Putting the supply chain capability in place to respond and adapt to ACTUAL customer demand
Supply Chain Insights Global Summit 2017
#Imagine2030
End to End Demand Driven Planning
DDMRP
daily
DDS&OP
weekly/monthly
Adaptive S&OP
quarterly
Actual
Demand
Strategy
Technology
Orchestr8 configuration
& Parameter settings
Variance analysis Forward projections
Simulation & what-if
Agreed operating
envelope to support
business plan
Demand forecasts
Supply Chain Insights Global Summit 2017
#Imagine2030
Results & Key Takeaways
Demand Driven has and is delivering
• Supply chain ‘de-risked’ from forecast
accuracy
• Strong positive impact on cash flow and
ROCE
• Maintained or improved service levels
• Significant inventory reduction
• Release of supply chain capacity by not
producing, buying and storing the wrong stuff
• Cost reduction – lower planning effort with
improved outcomes – lower expedite costs
Key Takeaways
• Demand driven does not been better
forecasting (or more expensive forecasting
tools)
• The change management challenge is huge
• Including within the planning community
• Just try it
• Education and POC in Excel
• SaaS software solutions make enterprise
rollout robust and quick
• Happy planners

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A Demand-Driven Journey - Brian Dooley, Head of Supply Chain Planning for British Telecom

  • 1. Brian Dooley British Telecom Head of Supply Chain Planning A Demand-Driven Journey
  • 2. • The case for change • Enabling demand driven • End-to-end demand driven planning • Results • Key takeaways AGENDA
  • 3. Supply Chain Insights Global Summit 2017 #Imagine2030 The Case for Change 0% 20% 40% 60% 80% 100% FC Error SKU Mix SKUS <20% Err SKUS 20%-50% Err SKUS > 50% Err Problem statement: Our forecasts are not accurate enough SKU level forecast accuracy is destroying flow: • Schedule break ins • Expedites • Stock outs and over stocks Clearly the solution is obvious Improve forecast accuracy $ “If I had asked people what they wanted, they would have said faster horses” Henry Ford Or are we solving the wrong problem
  • 4. Supply Chain Insights Global Summit 2017 #Imagine2030 Enabling Demand Driven Red Base Red Safety Yellow Green Determines supply order generation frequency & size, is the larger of: - MOQ - Desired order cycle - ADU x Lead Time x Lead Time factor The heart of the demand coverage in the buffer - Always sized as 100% ADU x Lead Time The embedded safety in the buffer - Red zone base established based on lead time factor = ADU x Lead Time x Lead Time factor - Red zone safety is determined by variability factor = Red zone base x variability factor OnHandStockOpenPurchaseOrders Open Customer Orders Net Flow Net Flow = On Hand + Open PO’s – Open Customer Orders Triggering a Purchase Order When net flow drops out of the green zone a PO is placed to take the net flow position back to the top of green DDMRP Supply Demand Putting the supply chain capability in place to respond and adapt to ACTUAL customer demand
  • 5. Supply Chain Insights Global Summit 2017 #Imagine2030 End to End Demand Driven Planning DDMRP daily DDS&OP weekly/monthly Adaptive S&OP quarterly Actual Demand Strategy Technology Orchestr8 configuration & Parameter settings Variance analysis Forward projections Simulation & what-if Agreed operating envelope to support business plan Demand forecasts
  • 6. Supply Chain Insights Global Summit 2017 #Imagine2030 Results & Key Takeaways Demand Driven has and is delivering • Supply chain ‘de-risked’ from forecast accuracy • Strong positive impact on cash flow and ROCE • Maintained or improved service levels • Significant inventory reduction • Release of supply chain capacity by not producing, buying and storing the wrong stuff • Cost reduction – lower planning effort with improved outcomes – lower expedite costs Key Takeaways • Demand driven does not been better forecasting (or more expensive forecasting tools) • The change management challenge is huge • Including within the planning community • Just try it • Education and POC in Excel • SaaS software solutions make enterprise rollout robust and quick • Happy planners