Remanufacturing workshop management in blockchain and digital twin-based cloud remanufacturing service platform

Area of Science:

• Industrial Engineering
• Computer Science
• Environmental Science

Background:

• Cloud remanufacturing platforms drive digital transformation and sustainability.
• Challenges exist in secure data sharing, process monitoring, and uncertainty management within intelligent remanufacturing workshops.
• Intelligent workshops are crucial components of cloud remanufacturing service platforms.

Purpose of the Study:

• To investigate a novel management mode for remanufacturing workshops on cloud platforms.
• To address secure data sharing, process monitoring, and uncertainty challenges using advanced technologies.
• To explore the integration of blockchain and digital twin for enhanced remanufacturing operations.

Main Methods:

• Developed an overall framework for the cloud remanufacturing service platform.
• Designed a dual-chain blockchain structure for secure storage of transaction and workshop data.
• Integrated digital twin technology with smart contracts for real-time monitoring, remote collaboration, and data analysis optimization.

Main Results:

• Established a digital twin-based architecture for the remanufacturing workshop.
• Achieved real-time monitoring and enhanced data analysis capabilities.
• Demonstrated a viable management mode for automotive remanufacturing workshops.

Conclusions:

• The combination of blockchain and digital twin technologies effectively addresses key challenges in cloud remanufacturing.
• This integrated approach enhances the security, transparency, and efficiency of remanufacturing processes.
• The proposed management mode offers a pathway for advancing intelligent and sustainable remanufacturing operations.