The document discusses the challenges and opportunities in optimizing supply chains, particularly in the chemical industry, through digital transformation and smart planning. It emphasizes the importance of integrating various data sources and creating a virtual twin for end-to-end visibility and decision-making. Finally, it presents use cases demonstrating how data connectivity can enhance operational performance and profitability.

1. #LightsOutPlanning
How
#LightsOutPlanning
drives
your end-to-end network
Logichem, March 21,2018

2. 2
We are living in a world that is getting more
connected everyday…
So is your supply chain & operations….
Geert Wullaert
founding partner @ bluecrux
+32 477 37 65 01 | geert.wullaert@bluecrux.com
Valérie Vandenbroucke
Product Manager of LightsOutPlanning
+32 476 34 14 64 | Valerie.vandenbroucke@bluecrux.com

3. 3
Does this sound familiar?
Major supply chain challenges in chemicals Increasing need to optimize supply chain
Global production
network
Asset Intensive
Increasing
demand volatility
Improve
productivity
Customer
Segmentation
Multi-level
product structures
Availability/fluctuating
price raw materials/energy
End-to-End holistic view
of the supply chain
Business leaders want
what if business decisions
connected to core planning
One version
of the truth
Digital
transformation
Make sound
decisions
Need more
skilled planners
Big data,
machine learning
IOT, blockchain

4. 4
#WeAreNotThe80sAnymore

5. 5
The end of the supply chain as we know it…
DEVELOP PLAN SOURCE MAKE DELIVER SELL SUPPORT
DOWNSTREAM
UPSTREAM

6. 6
#NoLongerASupplyChainParty
Isolated Clustered Networked Connected InterConnected

7. 7
#Connecting the dots
Planning
DistributionOperations
Finance
Customer
Workforce
Digitalization

8. 8
ERP DATA
PLAN DATA
FI DATA
…
CONTEXTUAL DATA
POS DATA
MARKET DATA
SUPPLIER DATA
SENSOR DATA
OPERATIONS DATA
CLIMATE DATA
SOCIAL DATA
YOUNAMEIT DATA
#MyNameIsBlob

9. 9
The future will be
AUTONOMOUS

10. 10
The world is changing fast… and you?
Why don’t you expect
the same for your planning
than for your driving experience?
Waymo,
the new way forward in mobility
(a.k.a. Google Self Driving Car)
Reallocation of time
spent driving to value-
added activities
(reading, working, …)
Better anticipation of
future traffic
Improved safety by reduced
driver
mistakes & risks
Optimized grid utilization
with smart algorithms
& live data
Reduced need for
driving skills

11. 11
TODAY TOMORROW

12. 12
Keeping the
lights on
Value
Creation
Traditional
planning
Smart
planning
Innovation
Keeping the
lights on
#MyLifeAsPlanner

13. 13
Qué?

14. 14
Connect. Learn. Aim. Shine.

15. 15
The digital CORE that empowers your planning systems
ERP DATA
PLAN DATA
FI DATA
…
SUPPLIER DATA
SENSOR DATA
OPERATIONS DATA
Demand Planning
Integrated Business Planning
Supply Planning
Production Planning
…
Anticipated
Demand
Smart
Supply
Connected
Production
Dynamic
Fulfillment
Autonomous
Planning
Optimized
Financials
CLIMATE DATA

16. 16
Let #LOP drive …
…your end-to-end network
Create a virtual
twin
Get
end-to-end
visibility
Set smart
parameters
Optimize
end-to-end
financials
Monitor the
control tower

17. 17
Create a virtual twin and get
end-to-end visibility

18. 18
Create a virtual twin
 Get your supply chain model right and make it
dynamic, by mirroring your physical world in a
virtual twin.
 Build your multi-level end-to-end network
automatically through crawling your
transactional data
 Remove data silos and start to discover your
business from multiple angles
Get end-to-end visibility
 Monitor millions of events every single day
and relate them to your virtual twin.
 Get visibility across your entire network into
the most important business matters.
 Install alerts to proactively highlight unusual
events

19. 19
Connect your data,
and set smart parameters

20. 20
Set smart parameters
 Tap into your key supply chain parameters at any
moment.
 Activate smart algorithms to learn from internal
and external data. Discover influencing factors to
plot forward-looking behavior.
 Drive better supply chain decisions based on real
data & smart parameters.

21. 21
Optimize your end-to-end
financials

22. 22
Optimize end-to-end financials
 Overlay your virtual twin with your financials.
Get bottom-line results by financially
optimizing your end-to-end chain.
 Walk through different proposals for the most
profitable product mix, sourcing allocation,
flows and customers/regions.
 Activate perpetual scenario management and
make the right tactical and strategic business
decisions.

23. 23
Monitor the CONTROL
TOWER

24. 24
Monitor the control tower
 Create your personal situation room
 Receive proactive notifications when new
opportunities are discovered or matters at
hand require your immediate attention.
 Collaborate with colleagues and share your
insights.
75%
92%
Compression R1
Granualtion L2
Compression
Packing1
Packing2
Total Utilization
Utilisation main lines89%

25. 25
Use cases,
creating value from day 1!

26. 26
#Coolwater

27. 27
BUSINESS CONTEXT
 Industrialized network
 Increasing market variability
 Margin pressure
CASE: From Data to Business Value
#Coolwater
Supply Chain – Sales – Operations – Finance – Raw Materials
DATA
 2 Year history
 500 Sensors
 OSI-PI
TECHNOLOGY

28. 28
Step 1: connect & integrate
the network
#IBP
#E2Ethinking

29. 29
Step 2: link data & discover
influencing factors
#Coolwater

30. 30
Step 3: start looking
outside
#HowIsTheWeather?

31. 31
PROCESS
What are the key influencing parameters
for my asset throughput?
Trigger asset improvements
What are the drivers in my (current) network ?
Improve E2E financials
What are best future conditions to maximize
performance?
Continously perform at optimum
CASE: From Data to Business Value
#Coolwater
BUSINESS RESULTS / VALUE
Operational performance increase through better
data accuracy & use of assets
Capacity 262 TDS/d  282 TDS/d
Yield accuracy 49,9%  50,2%
Increased throughput & reduced energy
consumption through better tank temperature
Pre-tank cooling
Less in-line cooling required
External temperature prediction
Linking external to internal data
Increased throughput by better anticipation of
future tank conditions

32. 32
Most companies spend 70% of their budget
“keeping the lights on” (Gartner)
Don’t be that company!

33. 33
Be a digital winner…

34. Any question to go?

36. 36
Use cases,
creating value from day 1!

37. 37
Demonstrated asset throughput and forward
looking influencing factors
Demonstrated batch sizes & output rates for low
volume SKU’s
Determine demonstrated throughput and
key influencing parameters
Identify key influencing parameters
• ↑ Asset throughput
• ↓ Energy use & cost
• ↑ Scheduling accuracy
• ↑ Factory output
Use cases, creating value from day 1!
CASE 1 CASE 2
2 years historical data of production
• Production Line
• Time of Production
• Batch size
• Scrap rate
• Production efficiency
• Focused/non-focused
production line
• Temperature
OperationsOperations
Determine actual product average batch size to be used
in Master Production Scheduling for low volume SKU’s
• Impact of product mix on output rate
• Visualize output rate & average batch size
• Identify gap between actual and planning batch sizes
• Impact on planning accuracy
2 years historical data of production
Demonstrated lead times between secondary
packing and quality release
Determine real lead times and
scrap rate and identify key influencing parameters
Identify key influencing parameters
• ↓ Total LT reduction for fresh business
• ↓ Safety stock due to accurate LT parameters
CASE 3
2 years of material movements
• Production Line
• Time of Production
• Batch size
• Scrap rate
• Production efficiency
• Focused/non-focused
production line
QA

38. 38
Your Case ?
E2E financially optimal supply network based on
actual demonstated capacity
• ↑ Financial EBITDA
• ↑ Operational improvement projects
Use cases, creating value from day 1!
CASE 5
IBP
Determine the E2E financial optimized network based on
actual supply parameters
• Every moment the network is financially optimised.
• Supported by real and demonstrated capacity
• Returns required operational parameters for the
required output rates
Internal data: ERP, APS, MES / External data
Dynamic supply network planning
parameters
Determine the E2E planning sensitive parameters for
an optimized supply network
• Every moment the network is in sync
• Supported by real & demonstrated supply data
• Virtual build-up of the E2E supply network
• Returns dynamic supply planning parameters for the
different planning systems (Lead times, capacities, scrap, ...)
• ↑ Planning performance
• From static to dynamic network planning
CASE 4
3 years historical data of ERP & MES systems
Supply Choose your digital starting point
Connect your data now & start creating value