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Restricted © Primetals Technologies 2016 All rights reserved. primetals.com The Digital Unity – How Customers benefit from a Production Management System Warsaw, June 2017 Restricted © Primetals Technologies 2015 All rights reserved. primetals.com

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Page 1: The Digital Unity – How Customers benefit from a ... · PDF fileladle transfer car, KPI dashboards for mobile devices Example: Online-documentation retrieved via QR-coded equipment,

Restricted © Primetals Technologies 2016 All rights reserved. primetals.com

The Digital Unity –How Customers benefit from a ProductionManagement SystemWarsaw, June 2017

Restricted © Primetals Technologies 2015 All rights reserved. primetals.com

Page 2: The Digital Unity – How Customers benefit from a ... · PDF fileladle transfer car, KPI dashboards for mobile devices Example: Online-documentation retrieved via QR-coded equipment,

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Digitalization is driven by steel producers‘ requirementsand enabled by new technologies

June, 2017 K.Herzog / EA I4.0Page 2

NEW TECHNOLOGIESSTEEL PRODUCERS‘REQUIREMENTS

Communication technologies

Computational power

Internet technologies

Cloud technologies

Big data analytics

Self-learning systems

Mobile devices

Augmented reality

End-customer integration

Lot-size 1

New business models

Know-how management

Supplier integration

New steel grades

Availability of information

Ergonomy/operator support

ACHIEVED BY HOLISTIC AUTOMATION

QUALITY

FLEXIBILITY PRODUCTIVITY

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Three major requirements in steel productionshall be supported by digitalization

June, 2017 K.Herzog / EA I4.0Page 3

• Outstanding quality• Reproducible results• Seamlessly documented

• Flexibility to customer requests- Flexible product specification- Shorter delivery times

• Flexible in used raw materials• Flexible in optimization criteria

- Production- Energy consumption- Equipment lifetime

• Throughput• Yield• Plant availability• Operational costs• Maintenance costs

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A digitalized plant is like an orchestra –The Metals Orchestra

June, 2017 K.Herzog / EA I4.0Page 4

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Metals OrchestraTeach your players to play better

June, 2017 K.Herzog / EA I4.0Page 5

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Metals OrchestraThe Primetals Technologies portfolio

June, 2017 K.Herzog / EA I4.0Page 6

Know more – improve your processes More focus on the essentials Your plant and its digital twin

Smart sensors provide additional informationabout the process or the entire plant.

Smart sensors either directly measure physicalvalues or use existing measures to indirectlycalculate additional information.

Smart sensors are the enablers for theimplementation of advanced automatic functions,process models, as well as condition monitoring.

Repetitive, labour-intensive and dangerouswork is supported by fully-automatedmechatronics solutions.

This gives more room to focus onthe essential tasks.

Process models, digital “twins” of the plant,enable process optimization in real-time aswill as offline simulation.

This means perfect process guidance andfull support for further process development.

Example:Camera-based slag detection and free-boardmeasurement for converter tapping

Example:Automated converter tapping incl.the positioning of the ladle transfer carand alloy charging

Example:Blow-end calculation

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Metals OrchestraThe Primetals Technologies portfolio

June, 2017 K.Herzog / EA I4.0Page 7

Knowing how your plant “feels” Get connected – anytime – anywhere All the necessary information –when and where you need it

Comprehensive information about the conditionof the equipment an the respective processesenables predictive maintenance, which will helpto avoid unplanned outages.

This means improved plant availability andtherefore increased plant productivity.

Advanced communication technologiesallow for information to be transportedbeyond conventional limitations.

From the collection of sensor data in harshenvironments or from mobile equipment todisplaying the information on mobile devices.

From the shop floor to the „manager‘s pocket“

To ensure best possible operation andmaintenance of a plant, a vast variety ofinformation sources is required.The core concept of “smart work” is that allpersonnel will automatically receiveexactly the information they need at thetime to get their job done. This means thatall information is automatically tailored tothe actual needs of the staff.

Example:Converter tilting-drive monitoring,LTC drive-train and railway condition monitoring

Example:Wireless data transmission from theladle transfer car,KPI dashboards for mobile devices

Example:Online-documentation retrieved viaQR-coded equipment,augmented reality applications to guidemaintenance work

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The Digital Unity –The conductor of the Metals Orchestra

June, 2017 K.Herzog / EA I4.0Page 8

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The Digital Unity –The conductor of the Metals Orchestra

June, 2017 K.Herzog / EA I4.0Page 9

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Production Management SystemA comprehensive approach

June, 2017 K.Herzog / EA I4.0Page 10

PRODUCTION EXECUTIONRealtime information about the

production processTransparency across the whole

process chainLogistics

PRODUCT DEFINITION,ORDER DRESSERTransformation of sales orders to

process and quality instructionsCentralized processknowledge base

ORDER & LINE SCHEDULINGCross-plant scheduling of the

order bookThroughput optimization

PLANNINGHolistic planningfrom melt shop to shipping,from demand planning to

material planning

Benefits• Increased utilization of production facilities• Higher productivity with increased flexibility and better quality• Reduced inventory

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Production Management SystemOrder dresser

June, 2017 K.Herzog / EA I4.0Page 11

State-of-the-art technology

• Comprehensive translation of sales orders toproduction orders including routings and processinstructions considering production capabilities,technological rules, standards and quality directives.

• Creating test and sample instructions along theproduction route.

• Calculating material demand for each productionstep

• Considering cost and time models

• Easy system integration with ERP including certifiedSAP I/F

• Modern GUI for easy data administrationThrough Process Know How

Benefits• One central knowledge base with all production related data to determine how to

produce products from casting to finishing lines. - Fewer systems to maintain• Integrated with planning, scheduling, production and quality. - No complicated and

expensive interfaces

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Production Management SystemPlanning and Scheduling

June, 2017 K.Herzog / EA I4.0Page 12

State-of-the-art technology

• State-of-the-art technology• Holistic planning – from melt shop to shipping and from

demand planning to detailed scheduling• Streamlined and consistent decision making across

sales,planning and production processes

• Maximizing throughput, quality and service level• Minimizing costs, energy consumption, stock levels and

lead times• User-friendly, fast and adaptable schedules and plans• Planning evaluation based on KPIs and scenarios

comparison• Central repository of planning rules and priorities

Benefits• Highly specialized optimization models for metals specific production technologies like casting,

rolling, hot charging, etc.• KPI-driven Planning: Plan and schedule calculation can be adapted to specific and dynamic

business goals• Supports multiple demand fulfilment models: make-to-order, make-to-stock, …• Highly adaptable user interfaces optimized for planner's daily tasks

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Production Management SystemProduction Execution

June, 2017 K.Herzog / EA I4.0Page 13

Material and Stock Management

• Administration of all material types• Goods receipt, movement tracking and goods issue on material

and batch level• Management of scrap yards, bunkers, small part areas, semi

finished products and equipment

Schedule Execution

• Fast reaction to production issues bymodifying released line schedules

• Management of line schedule states

Production Order Lifecycle

• Managing production orders during theirlifetime

• Status Management

Production Tracking

• Tracking of material flow• Registration of all production data in the different facilities• Basis for reporting and quality control

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ProductionCoke quality

ProductionTarget basicity

Burden chemistryProductionO2 enrichment

Blast FlowBlast Temp

Required HM Amount,

Si content, HM Temp

Holistic ironmakingEfficient coordination of ironmaking plants

Orepreparation Sinter plant

Stockyard

O2 assign-ment

O2 assign-ment

BFs BOFs

• Optimized production meeting requirements of respective downstream plants

Coke plant

• Cross plant coordination for optimal gas network utilization• Transparent and traceable production decisions• Reduction of costs and increase of production

June, 2017 K.Herzog / EA I4.0Page 14

Stovescoordination

Hot stoves

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Through-Process Optimization (TPO)Quality along the entire production chain

June, 2017 K.Herzog / EA I4.0Page 15

Benefits• Quality management support• Reduced manual inspection, rework and downgrades• Support for quality certification (ISO/TS16949)• Reduced influence of human factor

THROUGH-PROCESS KNOW-HOWProcess and quality optimization

Metallurgical and process rulesProduct development

QUALITY MONITORINGContinuous recording & supervision of

quality parametersAutomatic identification of deviationsRoot cause identificationKPI evaluationStatistical process controlProduct genealy across the entire

process chainData storage for big data analytics

QUALITY CONTROLCorrective actions feed forward

and feedbackRule based expert system

Quality grading

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Through process optimizationProduct genealogy

June, 2017 K.Herzog / EA I4.0Page 16

TPQC keeps track of each productthroughout the production chain andthereby directly supports the TS16949requirements of identification of theproduct throughout the productrealization.

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Through process optimizationExample of a Root-Cause Analysis – CCM

Corrective and Compensational Actions

• Corrective Action: Set of actions for resolving the cause of the problem.

• Compensational Action: Set of actions compensating the nonconformities.

Root-CauseIdentification

nonconformities

Compensational-Action

CorrectiveAction

schedule slab for scarfingto remove surface defectsschedule slab for scarfingto remove surface defects

Possible root-causes:ý Casting speed change > 0.4m/miný Mold level fluctuationsþ Wrong casting powderýWrong SEN typeý Critical analysis

Possible root-causes:ý Casting speed change > 0.4m/miný Mold level fluctuationsþ Wrong casting powderýWrong SEN typeý Critical analysis

change casting powder tomeet grade specificrequirements

change casting powder tomeet grade specificrequirements

Example: slab inspection reveals longitudinal surface cracks on slab

K.Herzog / EA I4.0Page 17 June, 2017

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Through process optimizationKPI Examples

K.Herzog / EA I4.0Page 18

• Overview of productionand quality relatedperformance at a glance

• Indicates effectiveness ofQM-measures related toquality and processimprovements (typicallyrequired by automotiveindustry and acc. qualitystandards e.g. ISO9001,TS16949)

• Reviewing theeffectiveness of correctiveactions with respect toquality and productionefficiency

• Overview of theachievement of businessplan objectives

June, 2017

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Computerized Maintenance Management SystemMaintenance Asset Technology (Mat)

June, 2017 K.Herzog / EA I4.0Page 19

Benefits• Smart Maintenance schedule adjusted to order scheduling and vice versa• Trim your expenses according to the best maintenance strategy for your plant• Maintenance data available for analytics and deep learning

MAINTENANCE MANAGEMENTReal time transparency on work,material, assetsAutomatic work order suggestionsbased on your asset strategiesAdvanced planning, mobile workexecutionData History for every assetLink business data to ERP

MAINTENANCE KNOW HOWPACKAGES

Actionable items for your team fromcondition monitoring information

Analytics on your growingmaintenance know how base

Select maintenance strategyto maximize asset performance

Based on advanced analytics

Increase productivity through smartnetworking with plant data and PMS

1

2

3

4

PREDICTIVE MAINTENANCEPre-set link to CMSAnalytics on CMS data and maint historyenables predicitive maintenance

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The Digital Unity –An outlook

June, 2017 K.Herzog / EA I4.0Page 20

Know the impact of the plantcondition on product quality

Dynamically align productionand maintenance schedule

Feed TPO learning back to ODS

Re-assign products to customerorders in case of deviations

Schedule production based onquality prediction based on

condition prediction

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The Digital Unity enables steel producersto achieve their targets

June, 2017 K.Herzog / EA I4.0Page 21

QUALITY

FLEXIBILITY PRODUCTIVITY

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The information (including, e.g., figures andnumbers) provided in this document containsmerely general descriptions or characteristics ofperformance based on estimates and assumptionswhich have not been verified.

It is no representation, does not constitute and/orevidence a contract or an offer to enter into acontract to any extent and is not binding upon theparties. Any obligation to provide and/ordemonstrate respective characteristics shall onlyexist if expressly agreed in the terms of the contract.

These estimates and assumptions have to beanalyzed on a case-to-case basis and might changeas a result of further product development.

Primetals Technologies excludes any liabilitywhatsoever under or in connection with anyprovided information, estimates and assumptions.The provided information, estimates andassumptions shall be without prejudice to anypossible future offer and/or contract.

Any use of information provided by PrimetalsTechnologies to the recipient shall be subject toapplicable confidentiality obligations and for the ownconvenience of and of the sole risk of the recipient.

Contact

June, 2017 K.Herzog / EA I4.0Page 23

Kurt HerzogHead of Industrie 4.0

Primetals Technologies Austria GmbHTurmstrasse 444031 LinzAustria

T +43 (732) 6592-6781M +43 (664) [email protected]

primetals.com