Erik Flores Garcia
Erik is an assistant professor at the Department of Production Engineering in the research area of Production Logistics at KTH. He holds a PhD in Innovation and Design and M. Sc. in Production and Logistics from Mälardalens Högskola, and a B.Sc. in Mechatronics from the Monterrey Institute of Technology and Higher Education (ITESM). He is passionate about research in close collaboration with industry, and believes that this unique combination can enable industrial transformation and industrialization in a sustainable society. Erik is a member of the Industrial Transformation Platform at KTH. His research interest includes applying cyber physical systems, digital twins, and simulation-based multi-objective optimization to production logistics. For CV details please visit Erik's LinkedIn.
Are you a master's student at KTH?
Are you interested in enabling sustainability of manufacturing with digital tools? Feel free to contact me via email about possibilities for supervision of thesis in the area of logistics. Note that this offer is exclusive for students at KTH conducting their master’s degree.
The Royal Swedish Academy of Engineering Science selected C-PALs as research bringing impactful benefits to industry and society in the topic of sustainable crisis preparedness in it’s list of top 100 research projects for 2021. Watch our presentation here.
Winter Simulation Conferene 2020 - It's that time of the year :) Virtual doubler header! Carlos and I discuss the importance of Simulation Optimization for Reconfigurable Manufacturing Systems. Then, Yongkuk and I present our insight on Designing Digital Twins for improving decisions in Production Logistics. Watch our presentation here.
Dynamic SALSA develops Ai solutions and practical software applications for dynamic scheduling technologies in smart assembly and logistics for the automotive sector. It involves OEMs, SMEs and universities from Sweden (Scania, SiB Solutions and KTH) and the Republic of Korea (Woojin Industrial Systems, Corners Ltd, . Sungkyunkwan University, and Seoul National University). The project establishes a unified framework and interoperable platform, and shop floor applications for end-to-end engineering in smart manufacturing including Ai, digital twins, Industrial Internet of Things, and vision-based system for data gathering. This project is funded by Vinnova.
EXPLAIN includes a new generation of interactive fusion of virtual production modeling methods and machine learning algorithms for decision-making support in production and logistics systems. EXPLAIN includes the participation of KTH, Uppsala University, Seco Tools, Hitachi ABB, AstraZeneca, and Scania. Funding: Vinnova
C-PALs applies cyber physical systems in assembly and logistic supply chains for the automotive industry. This project includes an international consortium of industrial and academic actors from Sweden (Scania, Ericsson, H&D wireless, and KTH) and South Korea (Yura, Dexta, and Sungkyunkwan University). Funding: Eureka SMART & Vinnova.
CDIO course in Sustainable Production Development (ML2308), course responsible | Course web
Degree Project in Industrial Technology and Sustainability, First Cycle (ML150X), course responsible | Course web