Innovative Processes in Renovation
Sector: Commercial • Location: Spain
Source: Keep.EU
Four objectives:
- to analyse LEAN Construction systems (production management systems) and their integration into the BIM rehabilitation project management process developed as part of the INFOMAT project. The BIM (Building Information Modeling) process uses a digital model to describe a rehabilitation project by concentrating all technical, organizational and financial information. This makes
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Four objectives: 1. to analyse LEAN Construction systems (production management systems) and their integration into the BIM rehabilitation project management process developed as part of the INFOMAT project. The BIM (Building Information Modeling) process uses a digital model to describe a rehabilitation project by concentrating all technical, organizational and financial information. This makes exchanges more fluid and saves time and quality. 2. Transfer to initial training and encourage cross-border university exchanges: Cross-border training and organisation of a cross-border BIM challenge with the engineering schools concerned. 3. Transfer to the professional sector: Application of methodologies and professional training on a pilot site in Bayonne. 4. Facilitate the creation of a network for the development and dissemination of new methodologies for work in rehabilitation. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | Medium |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |
