Industry 4.0

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  • The impact of IoT and Industry 4.0 on Predictive maintenance and condition monitoring

    Mahdieh Sedghi

  • http://www.mckinsey.com/

    0% < 1% < 1% ~ 1% 60% 100%

  • http://www.gartner.com/technology/home.jsp

  • Ubiquitous Independent Logistics Grid

    Supply Chain Big Data Analytics

    Wearable User Interface in Logistics

    Transportation Forecasting

    Warehouse Robots

    Warehouse Resource Planning and Scheduling

    Community Management

    Supply Chain Execution Predictive Analytics

    Mobile Asset Optimization

    SCM BPO

    3D Printing in Supply Chain Real-Time (Mobile-Synchronized) Route Optimization

    Supply Chain Execution Convergence

    TMS Multimodal/International

    Warehouse Control Systems

    Dock Scheduling

    Mobile Technology

    Business Process Networks

    Track-and-Trace and Serialization

    Carrier/Supplier Appointment Scheduling

    Global Logistics Visibility

    Enterprise Manufacturing Intelligence

    Information Hubs for SCE

    Railcar Fleet Management Solutions

    Transportation Benchmarking Services

    Over-the-Road Carrier-Centric TMS Suites

    Distributed Order Management

    RFID for Logistics and Transportation

    SCM BPaaS

    MDM of Product Data

    Foreign/Global Trade Compliance

    Sourcing Optimization

    SaaS Supply Chain Execution

    Shipper-Centric Multimodal TMS

    Slotting Optimization Workforce Management Systems for

    Logistics Yard Management

    Yard Management

    InnovationTrigger

    Peak of Inflated

    Expectation

    Through of Disillusionment

    Slope of Enlightenment Plateau of Productivity

    Hype Cycle for Supply Chain Execution Technologies, 2015

    http://www.gartner.com/technology/home.jsp

  • .

    500 .

    . 50

  • 4%

    7%

    11%

    4%

    2%

    9%

    4%

    4%

    2%

    7%

    31%

    9%

    4%

    0% 5% 10% 15% 20% 25% 30% 35%

  • 92%

    8%

    (CMMS)

    CMMS

  • 60 80 82 83 84 85 86 87 88 89 90 91 92 93 94

    0

    1

    2

    3

    4

    5

    6

    60 80 82 83 84 85 86 87 88 89 90 91 92 93 94

    0

    5

    10

    15

    20

    25

    30

    35

    40

    CMMS

    CMMS

  • 49%

    37%

    14%

    DCS SCADAPLC

  • http://www.gartner.com/technology/home.jsp

  • +

    Industry 1.0

    Industry 2.0

    Industry 3.0

    Industry 4.0

    70

    Industry 4.0-

    https://www.accenture.com/gb-en/blogs/blogs-digital-industry- 4-0

  • :

    Industry 4.0-

  • Industry 4.0

    http://www.aethon.com/industry- 4-0- means-manufacturers/

  • http://www.industries- 4ynA_euqinU/rohtua/moc.008

  • http://www.industries- 4ynA_euqinU/rohtua/moc.008

  • /

    /

    real

    time

    Augmented reality for MRO1

    -

    3D

    Real time

    Batch

    -

    Lots

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    McKinsey

    http://www.mckinsey.com/

  • http://www.SAP.com/

  • 4.0

  • .

    . .

    .

  • http://www.predictiveanalyticstoday.com/what-is-predictive-analytics/

    /

  • 3D

    McKinsey

    /

    /

    real

    time

    Augmented reality for MRO1

    -

    3D

    Real time

    Batch

    -

    Lots

    /

    http://www.mckinsey.com/

  • 84%

    49%

    56%

    18%

    11%

    CMMS

    SCADA

    (IOT)

  • 46%

    47%

    7%

    .

    . .

  • )(

    Predictive) maintenance) .

    . .

    .

    .

  • :

    :

    .

    http://www.IBM.com/

  • Decision management

    /

    Analytical Data Store

    Business analytics

    Statistical analytics

    Event RulesModelsWork Flows

    http://www.IBM.com/

  • .

    .

    ..

    ..(SPC)

    .

  • . .

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    .

    . .

    .

  • .

    .

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  • .

    .

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  • . .

    .

    . .

  • . . .

  • . API 581.

    .

  • (RUL)

    ..

    ..

  • .

    .

    . .

    .

    .

  • .

    : .

  • 40 30 (ROI) 10 30 25 75 40 35 25 20

    http://reliabilityweb.com/articles/entry/unleash_the_power_of_predictive_analytics/