ISyE Seminar - October 2025
(23-10-2025) Another look into our monthly ISyE seminars! For October's internal ISyE seminar in Zwijnaarde, we heard from our researchers Daniel Guzman Vargas and Sajjad Hedayati.
Our monthly ISyE seminars bring together researchers to share insights on industrial systems and engineering. At our October ISyE seminar in Zwijnaarde, we heard from Daniel Guzman Vargas on "AI in Manufacturing: From Buzzwords to Impact" and Sajjad Hedayati on "Disassembly Scheduling Optimization in Remanufacturing Systems".
In this talk, I will share an expert perspective on the current trends in AI for manufacturing, highlighting the difference between structured and unstructured data, and the complementary strengths of ML, LLMs, and Digital Twins. Drawing on real cases from our work with SMEs, I will show how value emerges when we consider context, structure unstructured knowledge, and validate results under real conditions.
The system features a single intake station for initial product inspection, where cores arrive stochastically, leading to sub-items with random operations processed by multiple resource units comprising machines and operators. The topology includes a parallel machine setting, where multiple machines operate independently, each handling one task at a time, with processing times varying randomly to accommodate the dynamic nature of disassembly tasks.
A big thank you to both speakers for sharing their impactful research!
Daniel Guzman Vargas on "AI in Manufacturing: From Buzzwords to Impact"
Artificial Intelligence is everywhere in today’s industrial discussions (with buzzwords like Large Language Models, Generative AI, and Digital Twins often presented as one-size-fits-all solutions). Yet in practice, data alone does not create value: the key lies in understanding the real problem and matching it with the right tool.In this talk, I will share an expert perspective on the current trends in AI for manufacturing, highlighting the difference between structured and unstructured data, and the complementary strengths of ML, LLMs, and Digital Twins. Drawing on real cases from our work with SMEs, I will show how value emerges when we consider context, structure unstructured knowledge, and validate results under real conditions.
Sajjad Hedayati on "Disassembly Scheduling Optimization in Remanufacturing Systems"
This study explores the optimization of disassembly scheduling in remanufacturing systems, targeting end-of-life product recovery within a circular economy. A stochastic mixed-integer programming model is developed and solved using a discrete-event simulation heuristic.The system features a single intake station for initial product inspection, where cores arrive stochastically, leading to sub-items with random operations processed by multiple resource units comprising machines and operators. The topology includes a parallel machine setting, where multiple machines operate independently, each handling one task at a time, with processing times varying randomly to accommodate the dynamic nature of disassembly tasks.
A big thank you to both speakers for sharing their impactful research!