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#LightsOutPlanning
How
#LightsOutPlanning
drives
your end-to-end network
Logichem, March 21,2018
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
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
#WeAreNotThe80sAnymore
5
The end of the supply chain as we know it…
DEVELOP PLAN SOURCE MAKE DELIVER SELL SUPPORT
DOWNSTREAM
UPSTREAM
6
#NoLongerASupplyChainParty
Isolated Clustered Networked Connected InterConnected
7
#Connecting the dots
Planning
DistributionOperations
Finance
Customer
Workforce
Digitalization
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
The future will be
AUTONOMOUS
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
TODAY TOMORROW
12
Keeping the
lights on
Value
Creation
Traditional
planning
Smart
planning
Innovation
Keeping the
lights on
#MyLifeAsPlanner
13
Qué?
14
Connect. Learn. Aim. Shine.
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
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
Create a virtual twin and get
end-to-end visibility
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
Connect your data,
and set smart parameters
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
Optimize your end-to-end
financials
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
Monitor the CONTROL
TOWER
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
Use cases,
creating value from day 1!
26
#Coolwater
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
Step 1: connect & integrate
the network
#IBP
#E2Ethinking
29
Step 2: link data & discover
influencing factors
#Coolwater
30
Step 3: start looking
outside
#HowIsTheWeather?
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
Most companies spend 70% of their budget
“keeping the lights on” (Gartner)
Don’t be that company!
33
Be a digital winner…
Any question to go?
36
Use cases,
creating value from day 1!
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
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
How to drive your end-to-end network with LightsOutPlanning

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How to drive your end-to-end network with LightsOutPlanning

  • 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
  • 5. 5 The end of the supply chain as we know it… DEVELOP PLAN SOURCE MAKE DELIVER SELL SUPPORT DOWNSTREAM UPSTREAM
  • 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
  • 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.
  • 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.
  • 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%
  • 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…
  • 35.
  • 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

Editor's Notes

  1. Which brings us to the fact that actually if not already we will start reversing the picture here behind. Where today we all probably have the feeling that we have a lot of knowledge & experience which we put into technology. For example by designing certain processes or procedures. Tomorrow it will start going the other way. Smarter and smarter algorithms will bring us insights that with our mind we would not have been able to see. And we see it already sometimes within our company when we look at each other and say ‘hey? This is strange, or this is new… but then it turns out it actually is… true.
  2. Today, most of the time that planners spend is actually geared to keeping the lights on. It is about: Continuous (master) data errors Disconnected planning Fixed parameter assumptions No financial optimization Functional focus instead of E2E Limited scenario capabilities And sometimes you hear people say that future looks even worse, with all these new technologies coming in to disrupt their planning functions. Well good news, the future looks actually better. And it is filled with: Dynamic master data Connected planning Smart parameter algorithms Financial optimization E2E thinking and acting Scenario driven So that you can focus on what you are good at: thinking creatively about how to create value for the company!
  3. Now, how are we going to take this jump together? We are building a platform that enables companies to take that leap forward, to take that jump. And it is based on all kinds of new Technologies. Which are no longer called SAP, JDA or BI but Spark, Python and Scala.
  4. Of course this is not going to be done overnight. And for 1 thing, it will be driven by use cases. Use cases that build further up on the previous one and build towards that digital core by adding more and more data on the same platforms. Today, several use cases will be discussed in the breakout sessions, but in order to set the scene and also ground this presentation a bit more I want to show you 1 case already.
  5. The case is called #coolwater, and you will understand in a few minutes better why … but ok, it has something to do with water and the temperature of it 
  6. So when you leave this event tonight, after a couple of drinks… I want you to remember 2 things: Most companies spend 70% of their budget keeping the lights on, don’t be that company! Try to be a digital winner. And get started! And don’t forget to Think Big, but to Start Small and to Scale Fast. Thank you very much.
  7. Of course this is not going to be done overnight. And for 1 thing, it will be driven by use cases. Use cases that build further up on the previous one and build towards that digital core by adding more and more data on the same platforms. Today, several use cases will be discussed in the breakout sessions, but in order to set the scene and also ground this presentation a bit more I want to show you 1 case already.