Industrial Case - Requirements, Challenges, Validation & Demonstration SCENARIO AND KPI DEFINITIONS

TAO CAOTRILATERAL RESEARCH LTD

This project is funded by the European Union. Horizon 2020

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Industrial case Problem definition Functional requirements End user objectives

Scenarios and KPIs Scenarios KPIs

Continuous KPI validation Three prototypes (M18-M24-M30) Final demonstration

Outline

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Background: coils produced in Hot Strip Mill (HSM) are likely to have flatness defects

Problem: failure to detect coil defects leading to high rejection rate

Facility: Hot Strip Mill Volume: Thousands of process parameters Real-time

Objective: to reduce coil rejection rate through effective measures

Prediction coil flatness in production (HSM) in real time

Online visualization Early detection of defects allows to prevent

subsequent defective coils Faulty coils can be reassigned for another use

once detected Direct cost savings

Industrial case (D2.1)

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Scenario requirements (D2.1)

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Scenarios as defined in D2.1 have been expanded to cover technological development and prototypes evaluation

Three scenarios (aligned with milestones in PROTEUS project) will be evaluated

Scenario details and objectives

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The purpose of KPI To measure performance of an activity To determine actual performance against objectives

KPIs should Stem from real business problems: baseline of the coil defects Demonstrate measurable progress and improve future performance

KPIs definition to evaluate PROTEUS prototypes and identify progress beyond the state of the art. This will allow us to demonstrate: Shorter time periods: data processing/prediction/visualization Increase performance and reduced costs: increase the defect coil detect rate, precision,

recall, f-score

Key Performance Indicator (KPI)

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KPI Table Short times Reduce defects Increase detection rate

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Continuous KPI evaluation M18: WP3 M24: WP5 M30: WP4