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Risk map and Risk models
Moxoff
Mathematics as a key factor enabling
innovation in Industry 4.0
Ravenna
March 15th 2018
MatteoLongoni
ChiefRevenuesOfficer
Risk map and Risk models
MOXOFF
Care to guess: what do they have in common?
Risk map and Risk models
MOXOFF
How MATHS can play a STRATEGIC role in driving INNOVATION
What is it all about
Risk map and Risk models
MOXOFF
Alfio QUARTERONI
MOX, Politecnico di Milano
Piercesare SECCHI
MOX, Politecnico di Milano
Luca FORMAGGIA
MOX, Politecnico di Milano
Scientific Board 25 Engineers &
Data Scientists
Spinoff of
Politecnico di Milano
MOX Laboratory
Moxoff Team
Risk map and Risk models
MOXOFF
Modeling
IntelligenceSimulation &
Optimization
Data
IntelligenceSoftware
Engineering
Moxoff Skills
Mathematics
and
Engineering
Risk map and Risk models
MOXOFF
Moxoff Strategy
Risk map and Risk models
MOXOFF
Moxoff and Industry 4.0
Where’s math in the ENERGY INDUSTRY 4.0
Risk map and Risk models
MOXOFF
Moxoff and Industry 4.0
Risk map and Risk models
MOXOFF
Industries risk is to be awash in data from a dizzying array
of sources and businesses are struggling to organize it
The data challenge
Disorganization
• Hugevolumesof
datagoingtowaste
• Difficultyin
transforming
informationinto
actionableinsights
Diversity
• Datasourcesareall
overthemap
• Noeasywayto
convertunstructured
dataintoarelational
databaseformat
Lack of
expertise
• Difficulttofind
peopleskilledindata
scienceandsoftware
engineering
Risk map and Risk models
MOXOFF
Data: big, complex and varied
Risk map and Risk models
MOXOFF
• The analysis of high dimensional, complex data poses new and challenging problems to the statistician:
• Smoothing
• Dimension reduction
• Data alignment and registration
• Landmarks identification
• Classification, Regression, Prediction
• Dependence: spatial or temporal
• Statistical models and methods for non-euclidean data
• Advanced numerical methods for statistical computing
• …
Caveat
Risk map and Risk models
MOXOFF
• The analysis of high dimensional, complex data poses new and challenging problems to the statistician:
• Smoothing
• Dimension reduction
• Data alignment and registration
• Landmarks identification
• Classification, Regression, Prediction
• Dependence: spatial or temporal
• Statistical models and methods for non-euclidean data
• Advanced numerical methods for statistical computing
• …
Caveat
Risk map and Risk models
MOXOFF
I am a data artisan…
Risk map and Risk models
MOXOFF
…working in a creative workshop
Risk map and Risk models
MOXOFF
BUSINESS PROBLEM
TECHNOLOGY
DATA
INTELLIGENCE
• Data reconstruction and smoothing
• Data driven analysis
• AI & Machine learning
• Uncertainty and error reduction
• Forecast algorithm
• …
• Prevention
• Control
• Root Cause Analysis
• Strategy
• Know-how
• ...
• High Performance Computing
• IoT
• Cloud
• Horizontal & Vertical Integration
• …
Business innovation
Risk map and Risk models
MOXOFF
Is it possible to use mathematics to improve predictions of natural
gas demand in different markets?
Success Story
Risk map and Risk models
MOXOFF
Predictions of natural gas demand
Project Goal: optimizationofnaturalgas
logistics,fromdemandforecastingtothe
marketoptimalmanagement.
Innovationaspects
• Newandmoreeffectiveforecastmodels
• Analyticalcapacitiesanddemand
predictionsfromthecurrentdaytothe
nextmonth
• Bestdemandpredictionsforthespecific
periods
• Estimateofvariabilityandassociated
probabilities
Risk map and Risk models
MOXOFF
Is it possible to improve predictions of hydroelectric power plants
production?
Success Story
Risk map and Risk models
MOXOFF
Project Goal: Toimprovepredictionsof
hydroelectricpowerplantsproduction.
Innovation aspects
● Forecastingmodels
● Weatherandgeophysicalconstraints
● Predictioninveryshortterm(72h)
● Capacityplanning
Modeling and forecasting of hydro-power generation
Risk map and Risk models
MOXOFF
Is it possible to identify the sources of signals
from a mix of them?
Success story
Risk map and Risk models
MOXOFF
Innovation aspects
● Classification
● Functional&peakbasedanalysis
● Constrained&UnconstrainedALS
● Blindinitializationtechniques
● Analysisandidentificationofdata
processingtechniques
● Dataprocessingworkflow
identificationtoaddressgeneral
spectralmixtureanalysis
Project Goal:
Developmentandapplicationofsignal
deconvolutionmethodsforchemical
mixturesignaturerecognition,startingfrom
chromatogramdataset.
Blind sources separation problem
Risk map and Risk models
MOXOFF
Is it possible to use Big Data for
Preventative Diagnosis and Maintenance?
Success Story
Risk map and Risk models
MOXOFF
Preventive diagnosis and maintenance
ProjectGoals:
● CageMaintenance:
○ Automaticmonitoringofthecage
conditions.
● AnalysisofAnimalsBehavior:
○ PatternRecognition inanimalactivity,
○ Alertsincaseofanomalousactivity.
Innovation Aspects:
● Robustanduser-friendlysoftware
● Advancedstatisticalanalysis
● Automaticmonitoringofthesystem
● Identificationofcharacteristictrends
● Alertsincaseofanomalousevents
Risk map and Risk models
MOXOFF
Is it possible to improve a packaging system by using
the fluid dynamic models of blood?
Success Story
Risk map and Risk models
MOXOFF
Formation and filling phases control
Innovation Aspects:
● Multi-Physicalmodelingoftheliquid
packagingprocess
● Simulationoftheproductionline
● Fluid-structureinteraction
ProjectGoal:Improvingcontroloftheformation
andfillingphasesofapacketinapackaging
system,preservingtheintegrityofthepackage
andtheaccuracyofthefill.
Risk map and Risk models
MOXOFF
2010 2017
Virtual environment for
furnaces optimization
Fluid-Structure
Simulation
Industria 2015:
Simulation and optimization
IoT – Cloud
Predictive Maintenance
Big Data
HPC - HPDA
Data
Intelligence
Customer
Interaction
Experience and Perspective
Risk map and Risk models
MOXOFF
2000
BRAINIES
Moxoff assets
Risk map and Risk models
MOXOFF
ENERGY
BALANCING
INTERNET OF
THINGS
Industry 4.0 declined in the energy industry
SUPPLY-CHAIN
EFFICIENCY
PREDICTIVE
MAINTENANCE
CONTROL
AUTOMATIONTARGETING
OPTIMIZATION
DATA-DRIVEN
DECISION
MAKING
FIELD FORCE
AUTOMATION
ENERGY
BALANCING
Risk map and Risk models
MOXOFF
www.moxoff.com
+39 02 2399 2966
Spin-off of Politecnico di Milano
Laboratory
Matteo [email protected]
www.moxoff.com
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moxoff_mathematics_for_innovation
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