E-mail: info@inevitable-project.eu
E-mail: info@inevitable-project.eu
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Deliverable 6.5 Mid-assessment of the social acceptance of new tools in productive plants
The present document constitutes the deliverable D6.5 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE;
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Deliverable 6.3 Mid-quantification of the environmental impact of improved manufacturing processes routes
The present document constitutes the deliverable D6.3 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE;
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Delivarable 6.1 Mid-quantification of the economic impact of improved manufacturing processes routes
The present document constitutes the deliverable D6.1 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE;
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Deliverable 3.3 Communication interfaces
In deliverable D3.3 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE; Grant agreement no.: 869815)
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Publications
D. Gradišar, M. Glavan. Material Requirements Planning Using Variable-Sized Bin-Packing Problem Formulation with Due Date and Grouping Constraints. Process. 8(10), 2020. J. Fabjan. Modelling of
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D10.1 Communication and dissemination plan
Deliverable D10.1: “Communication and dissemination plan” in the framework of the SPIRE project entitled “Optimization and performance improving in metal industry by digital technologies” (Project
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D10.5 TRAINING MATERIALS
The deliverable contains details on the activities of Task 10.2 of WP10 concerning the preparation of the training materials and programs, which are derived from
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D10.4 DATA MANAGMENET PLAN
This Data Management Plan (DMP) defines the data management policy that will be used within theINEVITABLE project. Moreover, the DMP lists the most important datasets
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Systematic approach to the preparation of requirements and specifications for digital upgrades
Manufacturing companies need to digitally upgrade production systems and uptake new technologies (like cognitive solutions) in order to stay competitive and to improve their business
Full list of Services
- INEVITABLE brochure
- Deliverable 10.3 Project advertising material
- Innovation6: Smart lean management system to integrate in manufacturing industry
- Innovation5: Camera based stirring monitoring and decision support
- Innovation4: Aided stirring control based on real time data processing
- Innovation3: The advisory tool for predicting nozzle clogging and improve castability
- Innovation2: Cold rolling mill assistant
- Innovation1: EAF refining monitor
- Demo5: Cognitive systems for non-ferrous investment casting process
- Demo4: Predictive process models for refining and continuous casting of liquid steel
- Demo3: Decision support and optimization systems in refining and continuous casting
- Demo2: System for supervision, optimisation, diagnosis and condition monitoring of Cold rolling mills
- Demo1: Optimization framework for electric arc furnace
- Deliverable 9.4 Guidelines for digital architecture implementation in the industry
- Deliverable 7.4 ZRM diagnostic, condition monitoring and control algorithms
- Deliverable 6.4 Final quantification of the environmental impact of improved manufacturing processes routes
- Deliverable 6.2 Final quantification of the economic impact of improved manufacturing processes routes
- Deliverable 6.6 Final assessment of the social acceptance of new tools in productive plants
- Inside SIJ Acroni (video)
- Deliverable 9.3 Report on finished industrial trials and evaluated operation of the cognitive system
- Deliverable 8.3 Finished industrial trials and evaluated operation of the supervisory system
- Deliverable 8.4 Guidelines for the advisory system and its components
- Training materials
- Deliverable 7.3 ZRM process model documentation
- Deliverable 3.4 Long-term data sets and sensor evaluation
- Deliverable 7.6 EAF model and optimization user interfaces
- Deliverable 7.5 Recoded EAF model and optimization framework
- Deliverable 6.5 Mid-assessment of the social acceptance of new tools in productive plants
- Deliverable 6.3 Mid-quantification of the environmental impact of improved manufacturing processes routes
- Delivarable 6.1 Mid-quantification of the economic impact of improved manufacturing processes routes
- Deliverable 3.3 Communication interfaces
- Publications
- D10.1 Communication and dissemination plan
- D10.5 TRAINING MATERIALS
- D10.4 DATA MANAGMENET PLAN
- Systematic approach to the preparation of requirements and specifications for digital upgrades
- Project presentation
- Monitoring and control
- Digital infrastructure
- Data collection and sensor technologies
- D7.2 ZRM software and hardware platform documentation
- D9.2 COGNITIVE SYSTEM TO ACHIEVE MULTI-CRITERIAL OBJECTIVES
- D8.2 ADVISORY SYSTEM FOR OPTIMIZATION AND CONTROL OF PROCESS OPERATION
- D4.3 ON-LINE MONITORING AND PREDICTIVE CONTROL TOOLS DEVELOPED
- D4.4 MULTI-CRITERIAL OPTIMIZATION ALGORITHMS DEVELOPED
- D4.5 DECISION SUPPORT SYSTEMS SET-UP
- D5.3 DESIGN PRINCIPLES FOR DATA INFRASTRUCTURE
- D5.2 DESIGN PRINCIPLES FOR COMMUNICATION INFRASTRUCTURE
- D3.2 ACQUISITION AND STORAGE TECHNOLOGIES
- D4.2 PREDICTIVE PROCESS MODELS
- D3.1 VALIDATED DATA ACQUISITION AND SENSOR TECHNOLOGIES
- D4.1 ANALYSIS SOFTWARE FOR PROCESS AND SENSOR DATA DEVELOPED
- Deliverable D2.4 Final requirements & specifications for Use case 2
- D2.2 FINAL REQUIREMENTS & SPECIFICATIONS FOR USE CASE 1: IMPLEMENTATION OF THE EAF AND ZRM OPTIMIZAT
- D2.6 FINAL REQUIREMENTS & SPECIFICATIONS FOR USE CASE 3: DEPLOYMENT OF DIGITAL COGNITIVE ARCHITECTUR
- D9.1 PREDICTED KPIS FOR DIFFERENT REFERENCES AND BATCHES
- D8.1 PREDICTED CASTABILITY AND CLEANLINESS LEVEL
- D7.1 ZRM BASIC CONTROL SYSTEM UPGRADE
- D5.1 CONSOLIDATED SET OF REQUIREMENTS
- D2.1 MID REQUIREMENTS & SPECIFICATIONS FOR USE CASE 1: IMPLEMENTATION OF THE EAF AND ZRM OPTIMIZATIO
- D2.3 MID REQUIREMENTS & SPECIFICATIONS FOR USE CASE 2: SMART SENSOR AND MODELBASED DECISION SUPPORT
- D2.5 MID REQUIREMENTS & SPECIFICATIONS FOR USE CASE 3: DEPLOYMENT OF DIGITAL COGNITIVE ARCHITECTURE