Description of three scenarios aligned with the project milestones, KPIs and benchmarking. Outline of the plans for evaluation and benchmarking, in order to analyse results and demonstrate the benefits of PROTEUS prototypes to ArcelorMittal and incremental improvements gained.

1. Industrial Case -
Requirements, Challenges,
Validation & Demonstration
SCENARIO AND KPI DEFINITIONS
TAO CAO
TRILATERAL RESEARCH LTDThis project is funded
by the European Union.
Horizon 2020

2.  Industrial case
 Problem definition
 Functional requirements
 End user objectives
 Scenarios and KPIs
 Scenarios
 KPIs
 Continuous KPI validation
 Three prototypes (M18-M24-M30)
 Final demonstration
2
Outline

3.  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
3
Industrial case (D2.1)

4. 4
Scenario requirements (D2.1)

5.  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
5
Scenario details
and objectives

6.  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
6
Key Performance Indicator (KPI)

7. 7
KPI Table
 Short times
 Reduce defects
 Increase detection rate

8. 8
Continuous KPI evaluation
 M18: WP3
 M24: WP5
 M30: WP4