B.9: Decision Support System: Difference between revisions
Created page with "• '''Short Description''': • '''Reference, URL''': • '''Applicable Business Category''': • '''Application in relevant Projects/Initiatives''': • '''Asset Type'..." |
No edit summary |
||
| (2 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
• '''Short Description''': | • '''Short Description''': The Decision Support System (DSS) manages an extended Digital Battery Passport imposing an economic overlayer to dynamically estimate the value of the battery for recycling and remanufacturing. The tool exploits AI to merge data available on the battery in terms of materials composition and state-of-health, with data characterizing the market quotations to obtain a decision support system which guides operational choices in function of the most profitable expected scenario. | ||
• '''Reference, URL''': | • '''Reference, URL''': https://www.cobat.it/ | ||
• '''Applicable Business Category''': | • '''Applicable Business Category''': Manufacturing | ||
• '''Application in relevant Projects/Initiatives''': | • '''Application in relevant Projects/Initiatives''': Yes, Circular TwAIn | ||
• '''Asset Type''': As a Service | |||
• ''' | • '''AI Breadth''': ML | ||
• ''' | • '''Learning Ability''': N.A | ||
• ''' | • '''Related technologies''': N.A | ||
• ''' | • '''Applicable Research Area''': Collaborative AI | ||
• '''Applicable | • '''Applicable Technical Category''': AI Services | ||
• ''' | • '''License Information''': N.A | ||
• ''' | • '''Related to circularity and sustainability''': Yes | ||
• '''Audience''': Battery Manufacturers, Battery Recyclers | |||
• '''Audience''': | |||
Go back to the '''[[AI portfolio of reference implementations]]''' | Go back to the '''[[AI portfolio of reference implementations]]''' | ||
Latest revision as of 09:20, 28 April 2025
• Short Description: The Decision Support System (DSS) manages an extended Digital Battery Passport imposing an economic overlayer to dynamically estimate the value of the battery for recycling and remanufacturing. The tool exploits AI to merge data available on the battery in terms of materials composition and state-of-health, with data characterizing the market quotations to obtain a decision support system which guides operational choices in function of the most profitable expected scenario.
• Reference, URL: https://www.cobat.it/
• Applicable Business Category: Manufacturing
• Application in relevant Projects/Initiatives: Yes, Circular TwAIn
• Asset Type: As a Service
• AI Breadth: ML
• Learning Ability: N.A
• Related technologies: N.A
• Applicable Research Area: Collaborative AI
• Applicable Technical Category: AI Services
• License Information: N.A
• Related to circularity and sustainability: Yes
• Audience: Battery Manufacturers, Battery Recyclers
Go back to the AI portfolio of reference implementations
