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EMEA USERS CONFERENCE • BERLIN, GERMANY © Copyright cdn. · PDF file 2016. 9. 28. · CPS cyber-physical systems M2M ... Wearables Cryptocurrencies Consumer 3D Printing...

Sep 30, 2020

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  • © Copyright 2016 OSIsoft, LLC EMEA USERS CONFERENCE • BERLIN, GERMANY

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 2

    PI in the Sky: What Cloud Computing,

    Big Data and I4.0 Mean for the Process

    Industry

    Dr. Felix Hanisch

    Covestro Deutschland AG

    2016 OSIsoft EMEA User Conference

    Berlin, Germany

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 3

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 4

    What‘s the

    hype?

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 5

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 6

    What‘s the

    hype?

    What does it

    mean for

    Chemicals?

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 7

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 8

    What does it

    mean for

    Chemicals?

    • Data

    • Context

    • Action

    What‘s the

    hype?

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 9

    Have a look …

    What‘s the

    hype?

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 10

    Industrie 4.0 Buzzword Bingo

    What is Industrie 4.0?

    IoT internet of

    things

    smart

    city

    PAAS platform as a

    service

    Big

    Data

    Google cloud CPS cyber-

    physical

    systems

    M2M machine-to-

    machine

    embedded

    systems

    Auto

    PnP auto plug and

    play

    mobile social

    machine

    sensor data-

    driven

    operations

    analytics

    SoA service

    oriented

    architecture

    (no)milk

    in fridge I4.0

    industrie 4.0

    • Industrie 4.0 focuses on the production of

    intelligent products, methods & processes

    • Cyber-physical systems enable the intelligent

    factory

    • At its interfaces, the factory becomes part of an

    intelligent infrastructure

    • The Four V‘s of Big Data

    Volume – scale of data

    Velocity – streaming data analysis

    Variety – different forms of data

    Veracity – uncertainty of data

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 11

    In a state between goldrush and panic …

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 12 1

    2

    2016 │ PI in the Sky │ Dr. Felix Hanisch

    IN 2030, COMPUTERS

    WILL BE MILLIONS

    OF TIMES MORE

    POWERFUL THAN TODAY. Source: Die Welt online

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 1

    3

    Digital Revolution

    OUR ANSWER:

    Covestro develops materials to improve efficiency, user

    friendliness, design and safety.

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 14

    Hype Cycle for Emerging Technologies 2015

    Hype Cycle for Emerging Technologies, 2015

    Source: Gartner (August 2015)

    Innovation

    Trigger

    Peak of Inflated

    Expectations

    Trough of

    Disillusionment Slope of Enlightenment

    Plateau of

    Productivity

    As of July 2015

    Plateau will be reached in:

    EXPECTATIONS

    Smart Dust

    Virtual Personal Assistants

    Digital Security People Literate technology

    Bioacoustic Sensing

    Quantum Computing

    Brain-Computer Interface

    Human Augmentation

    Volumetric Displays 3D Bioprinting Systems for Organ Transplants

    Smart Robots Affective Computing

    Connected Home IoT Platform

    Biochips Citizen Data Science

    Neurobusiness Software–Defined Security

    Digital Dexterity Micro Data Centers

    Smart Advisors

    Autonomous Vehicles Internet of Things

    Speech-to-Speech Translation

    Machine Learning

    Wearables

    Cryptocurrencies

    Consumer 3D Printing

    Natural-Language Question Answering

    Hybrid Cloud Computing

    Augmented Reality

    Cryptocurrency Exchange Autonomous Field Vehicles

    Virtual Reality

    Gesture Control

    Enterprise 3D Printing

    less than 2

    years

    2 to 5

    years

    5 to 10

    years

    more than 10

    years obsolete before

    plateau

    TIME

    IoT Platform

    Machine Learning

    Augmented Reality

    Advanced Analytics With Self-Service Delivery

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 15

    IN THE SKY PI E

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 16

    Internet of Things / Industrie 4.0

    Some (I)IoT visions are long-term reality in the process industry …

    Smart fridge orders milk Vendor managed inventory

  • 2016 │ PI in the Sky │ Dr. Felix Hanisch 17

    Big Data Analytics

    … others are not.

    ? ? ?

    ?

    ?

  • Digital strategies require integration from suppliers to customers

    Identify biggest value potential in own operations [email protected] up-/down stream

    Supply Inbound Production stages Outbound Order Pull

    B2B Integration

    Supplier Logistics

    V e

    rt ic

    a l In

    te g

    ra ti

    o n

    Logistics Customer Final

    customer Unit i

    Raws

    Unit …

    Intermediates

    Unit n

    Finished goods

    Integration of own production sites and external partners

    APS

    ERP

    MES / DCS

    PSS

    APS

    ERP

    MES / DCS

    PSS

    APS

    ERP

    MES / DCS

    PSS

    APS

    ERP

    MES / DCS

    PSS

    APS

    ERP

    MES / DCS

    PSS

    APS

    ERP

    MES / DCS

    PSS

    APS

    ERP

    MES / DCS

    PSS

    APS

    ERP

    MES / DCS

    PSS

  • Industry 4.0

    How to navigate digitization of the manufacturing sector

    Virtually

    guided

    self-

    service

    Smart

    energy

    consump-

    tion

    Intelligent

    IoTs Real–time

    yield optimi-

    zation

    Routing

    flexibility

    Machine

    flexibility

    Remote

    monitoring

    and control

    Predictive

    maintenance

    Augmented

    reality for MRO1

    Human–robot

    collabo-

    ration

    Remote monitoring

    and control Digital

    performance manage-

    ment Automa- tion of

    knowledge work

    In situ

    3D

    printing

    Real–time SC

    optimi- zation

    Batch

    size 1

    Statistical process control (SPC)

    Advanced process control (APC)

    Digital quality

    management

    Data–driven

    demand

    prediction

    Data–driven

    design to

    value

    Customer

    cocreation/open

    innovation

    Concurrent

    engineering

    Rapid experimen- tation and simulation

    Predictive

    mainte-

    nance

    Remote

    mainte-

    nance

    Virtually

    guided

    self-

    service

    Resource /

    process

    Asset

    utilization

    Labor

    Inventories

    Quality

    Supply/

    demand

    match

    Time to

    market

    Service/

    aftersales

    Source: Industry 4.0 How to navigate digitization of the

    manufacturing sector. McKinsey Digital 2015

    Resource /

    process

    Asset

    utilization

    Labor

    Inventories

    Quality

    Supply/

    demand

    match

    Time to

    market

    Service/

    aftersales

  • Industry 4.0

    How to navigate digitization of the manufacturing sector

    Source: Industry 4.0 How to navigate digitization of the

    manufacturing sector. McKinsey Digital 2015

    1. Cf. McKinsey Global Institute: Big data:

    The next frontier for innovation, competition,

    and productivity

    2. McKinsey analysis

    3. McKinsey analysis

    4. Cf. McKinsey Global Institute: Disruptive

    Technologies

    5. See, for example, ABB case study

    6. Cf. T. Bauernhansl, M. ten Hompel,

    B. Vogel-Heuser (Hrsg.): Industrie 4.0

    in Produktion/Automatisierung/Logistik

    (2014)

    Indicative quantification of value drivers

    Productivity increase

    by 3 – 5%5

    30 – 50% reduction of

    total machine

    downtime2

    45 – 55% increase of

    productivity in technical

    professions through

    automation of knowledge

    work4 Costs for inventory holding

    decreased by 20 – 50%3

    Costs for quality

    reduced by 10 – 20%6

    Forecasting

    accuracy increased to

    85+%3

    20 – 50% reduction

    in time to market1

    10 – 40% reduction of

    maintenance costs1

    Resource /

    process

    Asset