A neural network approach for collaborative cells: an innovative online rescheduling strategy for maximizing productivity

Abstract

Transitioning from Industry 4.0 to Industry 5.0 signifies a significant change in how technology integrates with workplace dynamics. While Industry 4.0 focused on streamlining production through automation, Industry 5.0 centers on human-centric approaches. This entails designing work environments that prioritize human comfort and efficiency by incorporating technology that complements human capabilities. Collaborative robots, known as cobots, play a pivotal role in this shift, aiding humans in tasks while fostering increased human involvement. However, maximizing the benefits of cobots necessitates workspace designs that optimize both human and robotic resources’ needs and preferences. A promising strategy involves implementing a dynamic task allocation system. This approach employs a neural network to adaptively reallocate tasks to prevent any loss in performance. Such advancements represent a significant stride towards establishing production settings that prioritize the effectiveness of human workers.