evolving mes supporting digital plant hybrid cloud mes · predix manufacturing data cloud overview...

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Evolving MES supporting Digital Plant – Hybrid Cloud MESGanesh Hegde, Director, Product and Industry Marketing, GE Digital

https://www.manufacturing-summit.com/program-2019

Confidential. Not to be copied, distributed, or reproduced without prior approval.

1. Manufacturing Industry and Technology Key Trends

2. Digital Enterprise

3. Connected Systems and Factories

4. GE Solutions – Hybrid Cloud MES

Agenda

20 October 2019


Intense Pressure to Enhance &

Protect Margins

Heightened Demand & Supply Volatility Mounting Operational Complexity

Sustainability

Powerful industry trends driving change in manufacturing

◼ High demand and supply volatility

◼ High supply network inventories

◼ Focus on operating margins

Consumer/Customer CentricityResponsive, Network-Wide

Collaboration

◼ Manufacturing complexity due to increasing

system integration & product complexity

◼ Batch size 1 or Lot size 1

◼ Shortened product life-cycle. Rapid intro of new

products to market

Mounting Operational Complexity

Product complexity

◼ Unpredictable product lifecycles

◼ Decrease production costs without

compromising service

◼ Ensure compliance & quality

◼ Lack of standardization across multiple plants

Enhance and Protect MarginEfficient, Cost-Effective Factory

Floor Operations


B2B to B2B2CNew Business ModelsIT OT Convergence

Intelligent

Manufacturing

Rapidly adopt to

customer needs.

• Responsive, and

Adaptive manufacturing

Collaboration &

Coordination

End to end closed loop

digital plant operations

delivering quality products

on-time enhancing

customer satisfaction

Synchronized

manufacturing

network

Enterprise

manufacturing data

analysis and analytics

Key Technology Trends

Trends

Impact

https://www.foodprocessing.com/articles/2017/digitalization-the-future-of-food-and-beverage/


Digital Enterprise & Industry 4.0

Cloud, Mobility, Big data

Analytics(AI, ML)

Vertical integration of

smart production systems

Horizontal integration via new next gen global value

chain network

Through engineering

across the value chain

Acceleration through next gen

technologies (AI/Analytics,

IIoT, Cloud …etc.)

Optimize entire value chain vertically and horizontally to:

• Improve yield, quality, time-to-market,and productivity

• Flexible manufacturing addressing diverse market needs

• Encompasses all phases from the idea and the order to development and production, delivery of a product to the end customer, even recycling and related services

Digital Enterprise to optimize entire manufacturing value chain


Connected Factories & Systems: Driving manufacturing excellence

5

• New IoT-driven model: connected products and advanced analytics demand better flexibility and agility

• Globalization and merger / acquisitions require common collaborative manufacturing data platform

• Alignment and integration with overall manufacturing network for successful end-to-end supply chain

• Ability to leverage data across plants/manufacturing network to make informed decisions and trade-offs


Vertically and Horizontally connected of Manufacturing value chainOT Converging into IT, Hybrid Cloud Model

ProductionProduct

Planning

Operation &

MaintenanceProduct

Develop

ment

Yield/Quality

improvements

Sensors

MES

Eqp controls

HMI/SCADA

Local planning Procurement Manufacturing Logistics

Order Mgmt.Visibility

SCM PLMERP APM

Horizontal and Vertical Integration of manufacturing

value chain enabling;

EBOM MBOM SBOMManufacturing

Enterprise

1

23

41. Individualized Production/Process order data executed on

the shop floor

2. Realtime flow of manufacturing data to the enterprise

3. Horizontal flow of information along the value chain

(EBOM to SBOM)

4. Feedback loop - Maintenance, Defect and Failure data

integrated with manufacturing to improve quality

Enabled by latest technologies – IIoT, Cloud, Big data &

Analytics


Logical Steps to Digitization & Key Capabilities Required

7

Automation

Organize and make

your data visible

Vertical & Horizontal

Integration.

Coordinate your Plants,

People and Processes

Optimize Production

Performance and act on

Insights Across the Enterprise

2 . I N T E G R A T E D

O P E R A T I O N S

3 . O P T I M I Z E D

O P E R A T I O N S1 . C O N N E C T

Mfg. Execution(MES-Hybrid

Cloud), Asset mgmt. Data

integration and harmonization

Big data platform, Operational

analytics, Closed loop operational

mgmt.HMI/SCADA, Visualization

Key Capabilities RequiredKey Capabilities Required Key Capabilities Required


MES/MOM evolution Traditional to Hybrid Cloud MES

Level 5Management Planningas product development

Business Planning Level 4 production, material use, delivery and

Manufacturing desired end products

Maintaining records and optimizing theManagement

Monitoring, supervisor control and

Level 1production process

IT

Product Lifecycle Enterprise Resource Managing commercial activities as well

Establishing the basic plant schedule

and Logistics shipping, determining inventory levels

OT

Managing the work flow to produce the

Operations Level 3

production process

Level 2 automatic control of the production

processBatch Continuous Discrete

Control Control Control

Sensing and manipulating the

Level 0 Production process

Hybrid Cloud Model converging OT and IT –manufacturing execution systems solutions enabling mfg. network visibility for IIoT Analytics

Traditional MES and ISA-95 layers

IT

OT

Mo

de

rn M

ES


GE Solution – Hybrid Cloud MES Connected Systems and Factories

Factory A Factory B

MDC

Enterprise Data lake

Manufacturing ERP PLM CRM

• Manufacturing excellence through connected systems,

processes and factories

• Execution on the edge and operational

analytics/analysis on the cloud

• Manufacturing systems often highly fragmented

• Homogenize the shop floor data

• Create Enterprise Manufacturing System of Record

• Customers can integrate manufacturing enterprise

data with other enterprise business data (ERP, PLM

and others)

DashboardsBig

Data/Analytics

Enterprise

Manufacturing


@theEdge

Hybrid Cloud MES – Execution at the edge, Operational analysis in cloud - Enabling connected manufacturing enterprise

On premises systems providing end

to end digitization of the

manufacturing site

* Feedback loop to change the on-

site behavior (guided or automatic)

Low latency ingestion of

transactional data

Hot: S95 Enterprise Data Store (EDS)

Cold: BLOB store

TB

TB TB

TBGB

GB GB

GB

Lower on premise footprint of

both data, TB to GB, and HW

Predix MDC

Manufacturing

Execution@theCloud

Manufacturing

Analytics

{REST} {ODATA}


Enterprise

data

Predix Manufacturing Data Cloud Overview |

Hybrid Cloud MES Enables broader context for your manufacturing analytics

Real time feed of manufacturing

execution events

Real time feed of sensor data,

measurements, etc.

Financial & operational impact of the

manufacturing process

Manufacturing

data

Asset data

Predix

MDC

Data

models


Edge to Cloud (Hybrid Cloud Model)How does this work?

0101011110101010101

0101010111110101010

1010111111010101010

0101001010101010001

Log

CollectorData Ingestion Data

TransformationWe know the models to

transform – We understand

the schema

{REST}

{REST}

{ODATA}

{REST}Raw

Data Store

Manufacturing

Data –MES - Plant Applications

REST APIS95 Data

Models

Confidential. Not to be copied, distributed, or reproduced without prior approval. Predix MDC Overview |

On-Premise to Cloud – Values delivered

Dashboards

OPM & APMDigital Thread

Enterprise Visualization

• Plant drill-down dashboards

• HQ drill-down dashboards

• Big screen dashboards

Enterprise Events

• Downtimes event & reasons

• Shift/Crew events

• Schedule events

• Production events

• Quality events & results

Benchmarking dashboards & reporting

• Site to site, line to line, machine to machine

comparison

• Certificate of analysis report

Examples

Asset Performance Optimization

• Changeover optimization

• Predictive maintenance

• Increased yield

• Feedback loop to field

Big Data Analytics

Enterprise Analytics

• Analytics services

• Analytics catalog

Manufacturing Analytics

• Dedicated analytics for F&B, chemicals, CPG, …

• I.e. Dynamic center lining – calculate global

setpoints based on enterprise-wide data

analysis

• Backup of data for regulatory compliancePredix MDC

CloudOn-premises

End slide

evolving mes supporting digital plant hybrid cloud mes · predix manufacturing data cloud overview...

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