This is the full presentation of Anneleen Tronquo (Partner bluecrux) & Valerie Vandenbroucke (Product Manager LightsOutPlanning bluecrux), presented at Logipharma 2019 (Wednesday 10 April, 2019). Learn how a virtual twin can enlighten your Supply Chain, using practical case studies.
2. 2
Good morning!
Anneleen Tronquo Valérie Vandenbroucke
Anneleen.Tronquo@bluecrux.com Valerie.Vandenbroucke@bluecrux.com
Practice lead @LightsOutPlanningPartner @ bluecrux
10. 10
5 core capabilities
to drive better supply chain decisions
Create a
virtual twin
Set smart
parameters
Get
end-to-end
visibility
Optimize
end-to-end
financials
Monitor the
control tower
13. IT Landscape
Business Context
Network Products
▪ Global
▪ 20+ Internal & 50+
External
Manufacturing Sites
▪ 120+ Distribution
Centers
▪ 33.000+ Routes
▪ 150+ Brands
▪ 10.000+ SKUs
▪ 5 different ERP
systems
▪ 1 APS target system
14. Business Challenges
Scattered IT landscape
no E2E view on brand flows
Non-harmonized definitions of
planning sensitive parameters
Inaccurate and missing
planning master data
1
2
3
23. Demonstratedasset throughput and forward
looking influencing factors
‘Golden’ batch sizes & output rates for
low volume SKU’s
Determine demonstrated throughput and
key influencing parameters
Qualitative Benefits
• ↑ Asset throughput
• ↓ Energy use & cost
Quantitative Benefits
• Capacity: 262 TDS/dy -> 282 TDS/dy
• Yield accuracy 49,9% -> 50,2%
Qualitative Benefits
• ↑ Scheduling accuracy
• ↑ Factory output
Use cases, creating value from day 1!
CASE 1 CASE 2
OperationsOperations
Determine actual product average batch size to be used
in Master Production Scheduling for low volume SKU’s
Real release times between secondarypacking
and qualityrelease
Determine real lead times and
scrap rate and identify key influencing parameters
Qualitative Benefits
• ↑ remaining shelf-life for retail customers
• ↑ visibility into site Quality Release WoW
• ↑ ‘available’ plant capacity
• ↓ Safety stock due to accurate LT parameters
Quantitative Benefits
• 10% Quality Release Time reduction
• 2% Scrap Rate improvement identified
CASE 3
QA
LOP Virtual Twin & Smart Parameters LOP Virtual Twin & Smart Parameters LOP Virtual Twin & Smart Parameters
24. E2E financiallyoptimal supply network based on
true capacities
Qualitative benefits
• E2E thinking & acting across SC, OPS, Sales, FI, Proc.
• Awareness created at C-level to start formal IBP
• Key enabler for IBP process
Quantitative benefits
• BU1: +10% EBIT improvement identified (25%
realized during project mode / first 6 months)
• BU2: +8% EBIT improvement identified
Use cases, creating value from day 1!
CASE 5
Network
Determine the E2E financial optimized network based
on actual supply parameters
Planning Sensitive Parameters & Multi
Echelon Inventory Optimization
Determine the E2E planning sensitive parameters
for an optimized supply network
Qualitative benefits
• ↓ E2E lead time
• ↑ Planning performance
• Removal of double stock points
• Better supply chain visibility & control
Quantitative benefits
• Inventory savings: 20 MIO USD or 7% of addressable
PoV inventory (in $ value)
• PoV payback period: 3 months
CASE 4
Supply
LOP Virtual Twin & Smart Parameters LOP Virtual Twin & E2E Financial
AI based order patternrecognition & forecasting
Qualitative benefits
• Improved order quantity prediction
• Better insights into influencing factors
• Peak alert mechanisms
Includes:
• Advanced machine learning
• Neural networks
CASE 6
Demand
Use AI/ML to improve sales prediction & influencing
factors
LOP Virtual Twin & Smart Parameters
25. End-to-end value chain mapping as a dynamic
virtual twin
Use cases, creating value from day 1!
CASE 8
Network
Map the end-to-end brand flows from API till final
DC/Customer across multiple legacy systems
AI based demand management incl. leading
indicators
Use AI/ML to improve sales prediction & influencing
factors
Qualitative benefits
• ↑ Fct performance
• ↑ Level of automation
• Increased forecast ability & reduced bias
• Better supply chain visibility & control
Quantitative benefits
• LOP outperforms traditional TOY FCT with 50+%
CASE 7
Demand
LOP Virtual Twin & Smart Parameters LOP Virtual Twin
Qualitative benefits
• ↑ Flow visibility
• ↑ Network synchronization
• Better supply chain accuracy & control
• Platform for further value creation
Quantitative benefits
• Planning accuracy increase / frictionless planning
Your Case ?
Chooseyour digital starting point
Connect your data now &
start creating value
26. Bluecrux & LightsOutPlanning -what makes us different?
2
Predesign
Get the journey started
Design
Pave the way
Implement
A 1+1 = 3 collaboration
Embed
Your knowledge
Definition
Your planning sensitive
parameters
Create virtual Twin
Create clarity on your network
Smart parameters
Capture the value of your
APS
Govern & sustain
Using our LOP platform Sustain
Define
We support your
OMP BUSINESS DESIGN & TRANSFORMATION
We support your
DATA FACTORY
We support your journey towards
TOUCHLESS PLANNING
# Data is the new oil…
Our proud
CUSTOMERS
We bring a unique & holistic set of capabilities leveraging planning design expertise, advanced data methods & strong implementation skills