Address:
Haed Tavakkoli-Moghaddam from the Department of Automation, Production and Computer Sciences (DAPI in French) and the LS2N, will present his research about :
"Assembly line balancing with collaborative robots"
Abstract : Human-robot collaboration (HRC) has become a transformative strategy in modern manufacturing, promising to enhance efficiency, flexibility, and overall productivity in assembly line operations. This study explores developing and applying innovative mathematical models designed to optimize task scheduling and resource allocation in assembly systems that integrate human workers and collaborative robots (cobots). The research addresses the challenges of balancing assembly lines while considering setup times, potential cobot downtimes, and budget constraints, ultimately seeking to improve operational efficiency and product quality. The current study introduces several novel contributions to assembly line balancing and human-robot collaboration.
Organizer(s)
Thesis co-acreditation from IMT Atlantique with the doctoral school SPIN
Keywords : Assembly line balancing; human-robot collaboration; Budget-constrained; Failure prediction; Sequence-dependent setup times; Meta-heuristic algorithms; Deep Q-networks; Deep uncertainty quantification