Institutionen för ingenjörsvetenskap
I am the leader of the research group Production & Automation Engineering which consists of 40+ researchers working within the area of virtual engineering. The group’s research is to a large extent applied and carried out in close cooperation with industrial partners, mainly within the manufacturing industry. The research covers various areas such as simulation, optimization, robotics, decision-support systems and continuous improvements.
My own research is focused on solving complex real-world optimization problems through soft computing approaches, and on the development of IT-tools for supporting executing optimized solutions in practice. The problems my research is targeting are usually related to production or logistics and found within both the private and the public sector. I am leading several research projects and supervise ten PhD students.
A New Algorithm Using the Non-dominated Tree to improve Non-dominated SortingGustavsson Patrik, Syberfeldt AnnaEvolutionary Computation, 2018, 26(1), 89-116.
A two-step multi-objectivization method for improved evolutionary optimization of industrial problems
Syberfeldt Anna, Rogström JoelApplied Soft Computing, 2018, 64, 331-340.
An optimization model for material supply scheduling at mixed-model assembly lines
Fathi Masood, Syberfeldt Anna, Ghobakhloo Morteza et al.51st CIRP Conference on Manufacturing Systems (1258-1263). Elsevier, 2018.
Human-robot collaboration – towards new metrics for selection of communication technologies
Gustavsson Patrik, Holm Magnus, Syberfeldt Anna et al.51st CIRP Conference on Manufacturing Systems (123-128). Elsevier, 2018.
Operators perspective on augmented reality as a support tool in engine assembly
Danielsson Oscar, Syberfeldt Anna, Holm Magnus et al.51st CIRP Conference on Manufacturing Systems (45-50). Elsevier, 2018.
Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty
Flores Garcia Erik, Ruiz Zúñiga Enrique, Bruch Jessica et al.51st CIRP Conference on Manufacturing Systems (334-339). Elsevier, 2018.
A comparative evaluation of the GPU vs. the CPU for parallelization of evolutionary algorithms through multiple independent runsSyberfeldt Anna, Ekblom TomInternational Journal of Computer Science & Information Technology (IJCSIT), 2017, 9(3), 1-14.
A Decision Support System for Sustainable Waste Collection
Strand Mattias, Syberfeldt Anna, Geertsen AndréInternational Journal of Decision Support System Technology, 2017, 9(4), 49-65.
Adaptive instructions to novice shop-floor operators using Augmented Reality
Holm Magnus, Danielsson Oscar, Syberfeldt Anna et al.Journal of Industrial and Production Engineering, 2017, 34(5), 362-374.
Assessing Instructions in Augmented Reality for Human-Robot Collaborative Assembly by Using Demonstrators
Danielsson Oscar, Syberfeldt Anna, Brewster Rodney et al.Manufacturing Systems 4.0 - Proceedings of the 50th CIRP Conference on Manufacturing Systems (89-94). Elsevier, 2017.