Digitalization in Food & Beverage 1... · Digitalization in Food & Beverage ... Revolution Second...

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Transcript of Digitalization in Food & Beverage 1... · Digitalization in Food & Beverage ... Revolution Second...

Digitalizationin Food & BeverageFlanders’ FOOD Inspiration Days 19-09-2017

siemens.com© Siemens AG 2017

Digitalizationchangeseverything ”

The next trillion dollars will beearned with data – for our customersand for our industries.

Michael Dell, founder of Dell Inc.”Digital is the major reason why justover half of the companies on theFortune 500 have disappeared sincethe year 2000.

Pierre Nanterme, CEO Accenture

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Welcome to Amazon Go – 2000 new smart grocery storesNo cashiers, no check-out lines …

Computer visionDeep learningSensor fusion

JUST WALK OUT

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The world has changed…

PCS 7 End-users Only © Siemens Belgium SPACE 2014 - 3rd PCS 7 User ConferenceFuturist Gerd Leonhard

Liquid Experiences

Standard in B2C

Social media amplifiesdamage of productrecalls to companies

Brand Reputation

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Consolidated Industry trends within the F&B Industry segments

?

Health-Conscious

Consumers andthe raise of

healthy foods &beverages

The growingconsumption ofPremium Quality

products, andchallenges due to

legislation &compliance to

standards

The decreasingwillingness to pay

for theconsumption ofstandard CPG

products

Large priceincreases in raw

materials in recentyears?

?

Highcomplexity due

to hugepackaging

variety

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Today’s challenges in the e.g. brewing market …

Increasing varietyof products and recipes

High seasonal changesComplex coordination between cus-tomer demands, filling orders & brews

Cost pressure

High quality demandGlobal and regional regulatorycompliancy

Manual production schedulingChanging demand inEurope and the US

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Digitalization drives evolution in the Food & Beverage market

Sources: 3) Barclays report, Nov. 2015

F&B market

Consumer driveninnovations

“Free from” for allIndividualization

Fresh, organic, localSocial and demographical structures

E-commerce

New food processing technologies

Technology driveninnovations

“Freshurety”-sensors in process & packaging

RoboticsIn-Line quality control & Traceability

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Our customers have essential requirements –throughout the manufacturing industry

Security

Speed Flexibility Quality Efficiency

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Source: Agoria Forecasting 2018 event

5 - Nadia Lapage, Secretary general FEVIA, federatie van de Belgische voedingsindustrie:

“De export in de richting van China en de VS is aan een spectaculaire opmars bezig!”

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The evolution toward Industrie 4.0

From Industrie 1.0 to Industrie 4.0 Degree of complexity

1800 1900 2000 TimeToday

FirstIndustrial

Revolution

SecondIndustrial

Revolution

ThirdIndustrial

Revolution

FourthIndustrial

(R)evolution

First mechanicalloom, 1784

First production line,Cincinatti Slaughterhouses,1870

First programmablelogic controller (PLC),Modicon 084, 1969

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Siemens addressing these challenges using digital technologies- Building on Electrification – Automation – Digitalization

1) The cloud-based, open operating system

Digitalization

Automation

Electrification

SiemensSoftware

DigitalServices

Digital enhancedElectrification &

Automation

MindSphere1

DomainKnow-how

Digital

Expertise

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Digitalization Changes Everything, EverywhereThe pace of technological advances is fueling digital transformation

DRONES

3D

PRINTING

INDUSTRIALROBOTS

SENSORS

SMART

PHONES

COST PER UNIT

2013

2014

$40,000

$100

2007

2014

2007

2007

2007

2014

2007

2015

The cost of key technologies is falling

Cost of technology200

100

10

1

0

$ PER 1 MILLION TRANSISTORS

Source: Accenture Technology Vision 2015

Transistor density

’92 ’93 ’94 ’95 ’96 ’97 ’98 ’99 ’00 ’01 ’02 ’03 ’04 ’05 ’06 ’07 ’08 ’09 ’10 ’11 ’12 ‘13 ’14 ’15 ’16

Source: Leading Technology Research Vendor

$100,000

$700

$550,000

$20,000

$30,000

$80

$449

$10

100000

10000

1000

100

10

1000000

1000 TRANSISTOR COUNT

Implications of Moore’s Law

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Gartner Hype Cyclefor EmergingTechnologies 2017

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Exploitation Exploration

Two Reasons companies fail – Knut Haanaes

SweetSpot

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Change has become

exponential

Source: Gerd Leonard

People are LINEAIR

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Integrating and digitalizing the entire value chainis key to staying competitive in the future

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Creating a Digital Twin of the entire value chain

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Six Sigma - Quality Rule - Rule of tens

1) This assumes that the error would otherwise not be detected until operation

ConclusionThe quality of the engineering project must be increased as early as possible in the product life cycle!

Cos

tper

erro

r

Product life cycle

Planning Development Startup Operation

€1€10

€100

€1000 Costs arereduced by up to99%per error1)

PCS 7 End-users Only © Siemens Belgium SPACE 2014 - 3rd PCS 7 User Conference

9/17/201722

Find your Bottleneck

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The Digital Twin in detail

Digital Twin of theproduct

Digital Twin of theproduction process

Digital Twin of theequipment

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Publishing the optimized Digital Twin to all stakeholders,including suppliers, with the collaboration platform Teamcenter

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Digitalizing the entire enterprise value chain

drive continuousimprovement

optimize productsand processes

Our holistic approach in Food & Beverage -A concept addressing the entire enterprise

Productionengineering

Productionexecution

Services3 4 5Productdesign

Productionplanning1 2

drive a tighterintra-companycollaboration

stop thinking insilos

reuse existingdata

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Product design

FormulatedProduct DesignSIMATIC IT R&D Suite

1 2 3 4 5

SpecificationManagement

FormulaWorkbench

R&D DataManagement

LaboratoryManagement

RegulatoryCompliance

SupplierCollaboration

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Product design

Design andsimulatethe product

1 2 3 4 5

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Product design

Build thepackaging inthe virtualworldNX CAD/CAE/CAM

1 2 3 4 5

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Product design

Simulatethe physicalbehaviorSimcenter

1 2 3 4 5

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Digital Twin ofthe product

Digital Twin ofthe production

Digital Twin ofthe performance

Digital Twin

Digital Twin ofthe product

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Production planning

Plan andvalidate yourproductionprocessCOMOS

1 2 3 4 5

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Production planning

Build yourproductionlinesTecnomatixLine Designer

1 2 3 4 5

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Extending the Digital Twin to cover plant and process

Simulate &ProgramRoboticsProcess Simulate

1 2 3 4 5

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Production planning

Simulate andoptimize yourproductionprocessesTecnomatixPlant Simulation

1 2 3 4 5

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Extending the Digital Twin to cover plant and process

SimulateMaterial &Logistic Flow

Plant Simulate

1 2 3 4 5

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Extending the Digital Twin to cover plant and process

1D SimulationPerformanceEngineeringAmesim

1 2 3 4 5

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Digital Performance Twin – 1D Simulation @ Tetra Pak

Jaw system(shaping, sealing

and cuttingphase)

Small change in valve-actuation layout

à higher production ratefrom 6000 towards 10000 p/h

Different pump characteristics

à lower energy consumption+66%increase inproductivity

In-house modelling with Amesim

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Productionplanning

Productionengineering

Productionexecution

Services

Extending the Digital Twin to cover plant and process

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Production engineering

Automaticallygenerate thePLC code forthe TIA Portal

1 2 3 4 5

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Fast andefficientengineeringandcommissioningTIA Portal

Production engineering

Digital Twinof SIMATICS7-1500

1 2 3 4 5

SIMATICS7-1500

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Production engineering

Validate thePLC codein the virtualworldTecnomatix,PLCSIM Advanced,TIA Portal

1 2 3 4 5

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Digital Twin ofthe product

Digital Twin ofthe production

Digital Twin ofthe performance

Digital Twin

Digital Twin ofthe product

Digital Twin ofthe production

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Production execution

Scheduleyour workoperationsSIMATIC IT Preactor

1 2 3 4 5

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Production execution

Run qualityinspectionoperationsSIMATIC ITUnified Architecture

1 2 3 4 5

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Production execution

Gettransparencyabout theperformance ofyour plantSIMATIC ITManufacturingIntelligence

1 2 3 4 5

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Production execution

Efficientand secureproductionwith TIASIMATIC, SIMOTION,SIMOTICS, SINAMICS andSIRIUS

1 2 3 4 5

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Services

MindSphere

Let yourproducts andyour productionspeak to you…MindSphere –the cloud-based, openIoT operating system

1 2 3 4 5

© Siemens AG 2016. All rights reserved.

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Descriptive

è Monitoring & transparency

Predictive

è Understanding & predicting

Data

Dataanalytics

Prescriptive

è Decision support

Closedlife-cycledata-loop

Deductive

è Continuous improvement

ArtificialIntelligence

Full leverage of the closed-life-cycle data-loopand artificial intelligence

Businessvalue

Depth of data-use

Digitalization Maturity

Digital Twin

Complexity

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Services

…about theirquality…

MindSphere –the cloud-based, openIoT operating system

1 2 3 4 5

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Services

…or theirperformance

MindSphere –the cloud-based, openIoT operating system

1 2 3 4 5

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Digital Twin ofthe product

Digital Twin ofthe production

Digital Twin ofthe performance

Digital Twin ofthe product

Digital Twin ofthe production

Digital Twin ofthe performance

Digital Twin

Feed back insights to continuously optimize product and productionMindSphere

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Digital Twin ofthe product

Digital Twin ofthe production

Digital Twin ofthe performance

Digital Twin ofthe product

Digital Twin ofthe production

Digital Twin ofthe performance

Digital Twin

MindSphere

One integrated data modelTeamcenter

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The three main advantages of digitalization

Data into value SimulationData integration

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The Digital Enterprise Suite –our unique portfolio for thedigital transformation

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Think BIG, Start SMALL

Scale

Measurable

Acceptable

Realistic

Time-bound

SMARTSpecific

Make thefuture yours.

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Contact Page (1/3)

Philippe De CosterAccount Manager F&B

Mobile: +32 478 93 33 05

E-mail: philippe.de_coster@siemens.com

https://be.linkedin.com/in/philippe-de-coster-76a6537b/siemens.com/food-beverage

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Contact Page (2/3)

Sven DebusscherAccount Manager F&B

Mobile: +32 475 38 43 77E-mail: sven.debusscher@siemens.com

https://be.linkedin.com/in/sven-debusscher-45a1843/siemens.com/food-beverage

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Contact Page (3/3)

Bart DemaegdtDigital Enterprise Team Coordinator

DCS/MES Technology Manager

Mobile: +32 476 46 83 55E-mail: bart.demaegdt@siemens.com

https://be.linkedin.com/in/bartdemaegdt

https://twitter.com/DemaegdtBartsiemens.com/digitalization