Vinh Dang
Department / Institute
Group
RESEARCH PROFILE
Vinh Dang currently holds the position of Assistant Professor at the Operations, Planning, Accounting, and Control (OPAC) group in the Department of Industrial Engineering and Innovation Sciences (IE&IS), Eindhoven University of Technology (TU/e). His research centers on the automation of manufacturing processes and material handling operations, the interconnection between these two processes, and the collaboration between autonomous mobile robots (AMRs)/automated guide vehicles (AGVs) and human operators in smart factories and warehouses or services sectors such as smart hospitals. He aims to develop algorithmic methodologies for planning and scheduling automated manufacturing or service systems in smart industries. He has worked on several projects, including Advanced Manufacturing Logistics, Digital Factory of the Future, and Green Transportation Delta - Electrification.
When you start to automate systems using robots, you start to do self-learning things, you make systems much more efficient.
ACADEMIC BACKGROUND
Vinh Dang has held his PhD in Operations Research from Aalborg University in Denmark since 2014. During his PhD, he was involved in the EU-FP7 TAPAS project (Robotics-enabled Logistics and Assistive Services for Transformable Factory of the Future) as the main developer of mission planning and control of mobile robots, which was verified in practice by the company Grundfos A/S in Denmark. He received his M.Sc. degree in Industrial Engineering from Pusan National University in South Korea and B.Eng. degree in Industrial Systems Engineering from the Ho Chi Minh City University of Technology in Vietnam. He was also co-author of the application software Empty Container Optimization Management System in the project BK21 – Brain Korea 21 (Development of Maritime Logistics Network Optimization Technology).
Recent Publications
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Decentralized learning multi-agent system for online machine shop scheduling problem
Journal of Manufacturing Systems (2023) -
Order Release Strategies for a Collaborative Order Picking System
(2023) -
Workload Control in High-Mix-Low-Volume Factories Through the Use of a Multi-Agent System
(2023) -
A simulation-based approach to design an automated high-mix low-volume manufacturing system
Journal of Manufacturing Systems (2022) -
A Matheuristic for AGV Scheduling with Battery Constraints
European Journal of Operational Research (2022)
Ancillary Activities
No ancillary activities