How does LightsOutPlanning support you in the challenge of digital supply chain? Take the chance to leverage your data via smart algorithms and machine learning to be on the edge of real time planning in order to make sound decisions. Discover the key features of the tool; the virtual twin (1), the E2E optimizer (2), the smart parameters module (3), the E2E visibility (4) & the control tower (5). Start your digital supply chain planning journey today! Presentation at Logipharma event 2018 by bluecrux.

1. #LightsOutPlanning
How #LightsOutPlanning
drives
better planning decision
LogiPharma, April 11,2018

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
Koen Jaspers
Founding partner @ bluecrux
+32 479 30 13 41 | koen.jaspers@bluecrux.com

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Companies that trust us
And
you?
… full list on bluecrux.com

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Does this sound familiar?
Major supply chain challenges in Pharma Increasing need for optimize supply chain
Global production
network
Asset Intensive
Increasing
demand volatility
Improve
productivity
Patient
centricity
Multi-level
product structures
Availability/Allocation
Decisions
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

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#WeAreNotThe80sAnymore

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

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#Connecting the dots
Planning
DistributionOperations
Finance
Customer
Workforce
Digitalization

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#NoLongerASupplyChainParty
Isolated Clustered Networked Connected InterConnected

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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

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The future will be
AUTONOMOUS

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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

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TODAY TOMORROW

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

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#LOP enables your team

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Qué?

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Connect. Learn. Aim. Shine.

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5 core competencies
to drive better end-to-end planning decisions
Create a
virtual twin
Get
end-to-end
visibility
Set smart
parameters
Optimize
end-to-end
financials
Monitor the
control tower

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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

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

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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

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Connect your data,
and set smart parameters

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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.

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Optimize your end-to-end
financials

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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.

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Monitor the CONTROL
TOWER

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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%

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Use cases,
creating value from day 1!

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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

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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

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#Coolwater

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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

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

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Step 2: link data & discover
influencing factors
#Coolwater

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Step 3: start looking
outside
#HowIsTheWeather?

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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

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

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Be a digital winner…

38. Any question to go?
Meet us at boot Nr. 2