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Scalable and energy-efficient task allocation in industry 4.0: Leveraging distributed auction and IBPSO
Qingwen Li1, Tang Wai Fan1, Lam Sui Kei1
1Department of Construction and Quality Management, School of Science and Technology, Hong Kong Metropolitan University, Homantin Kowloon, Hong Kong SAR, China.
Plos One
|January 17, 2025
Summary
This study introduces novel algorithms for robot task assignment in Industry 4.0 smart factories. The methods enhance efficiency and reduce costs for both basic and complex collaborative tasks.
Area of Science:
- Robotics and Automation
- Artificial Intelligence
- Industrial Engineering
Background:
- Industry 4.0 presents challenges in dynamic task allocation for multi-robot systems.
- Efficient task assignment is critical for smart factory operations and sustainability.
Purpose of the Study:
- To develop a decentralized auction algorithm (AOCTA) for flexible task distribution.
- To introduce an improved Binary Particle Swarm Optimization (IBPSO) for complex, collaborative tasks.
- To enhance energy efficiency and reduce computational costs in robotic task management.
Main Methods:
- Design of the Auction Decentralization Algorithm (AOCTA) for dynamic task allocation.
- Application of an improved Binary Particle Swarm Optimization (IBPSO) for multi-robot coalition formation.
- Extensive simulations to validate the proposed methods.
Main Results:
- AOCTA ensures efficient and flexible task distribution in dynamic environments.
- IBPSO optimizes coalition formation, improving energy efficiency and reducing computational cost.
- Simulations demonstrate significant improvements over conventional methods in efficiency, task completion, and scalability.
Conclusions:
- The proposed methods offer a comprehensive solution for dynamic task allocation in smart manufacturing.
- This research advances sustainable smart manufacturing by addressing operational efficiency and environmental impact.
- The developed algorithms facilitate the evolution of innovative and efficient manufacturing systems.
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