Magnus Löfstrand
Magnus Löfstrand Position: Professor School/office: School of Science and TechnologyEmail: bWFnbnVzLmxvZnN0cmFuZDtvcnUuc2U=
Phone: +46 19 303283, +46 707 959429
Room: T2265

About Magnus Löfstrand
Magnus Löfstrand, born 1974, is Professor of Mechanical Engineering at Örebro University. After earning his PhD in 2007, Löfstrand was a researcher in Computer Aided Design at Luleå University of Technology until June 2013, mostly involved in research projects combining mechanical engineering and various IT solutions. This background led to his employment at Uppsala University, Uppsala data base laboratory until June 2015, at which time he was employed at Umeå University, Department of Computing Science, Logic and Applications. He left Umeå University when recruited to Örebro University.
Keywords
Mechanical Engineering, Product Development, Production Development, System Availability, Process, Information, Data Analytics, Digitalization, Circular business models, Digtal twin.
Research
Löfstrand has a background in product and production development for various types of value-added products. His research is mostly focused on approaches to support and improve industrial system availability and cost. Approaches include simulation of industrial system availability and using data analytics, to support industrial development of availability based industrial business offers, mainly in the process and production industry.
In terms of the design process, the research facilitates improved concept generation and concept evaluation, and enables improving the basis for industrial decision-making. In this way, the studied industrial process can be realized more quickly and efficiently, resulting in improved industrial competitive advantage. Please see the Löfstrands research for more information.
Teaching
Löfstrands teaching experience includes having thought in and coordinated the final year course SIRIUS – Creative product development for eleven years. The course incorporated real companies, real projects and real designs, taking engineering projects through all aspects of the product development process, from idea to a finished working prototype, in close collaboration with industry. (Certain times, students from Chalmers University, Product and production development, and students from Stanford University, Center for Design Research also participated.)
Löfstrand has also tought and examined Engineering product development and has assisted in various Computer Aided Design courses. Löfstrand further has experience from teaching PhD student courses and from PhD student supervision. Please see Löfstrands teaching for more information.
Teaching at Örebro University
Magnus Löfstrand teaches in the Industrial Engineering and Management master program, and is the examiner of the overaching course
- Process Development and Innovation, 30 ECTS Credits
He teaches two courses within it, both senior (ie. fifth) year:
- RAMS modelling of systems and processes, 9 ECTS credits (examiner)
- Scientific method, reporting and academic writing 6 ECTS credits (examiner)
Löfstand is furthermore teaching and examining:
- Machine Design for MSc in Engineering, 9 ECTS credits, third year
Finally he is superivsing and examining BSc and MSc theses in the following educational programs:
Bachelor of Science in Engineering (3 years, 180 ECTS credits)
- Mechanical Engineering
- Industrial Design and Product Development
- Industrial Engineering & Management
Master of Science in Engineering (5 years, 300 ECTS credits)
- Industrial Engineering and Management
Professional education
MSc, Mechanical Engineering, Luleå University of Technology, 2002
PhD, Computer Aided Design, Luleå University of Technology, 2007
Academic appointments
Associate Professor (Docent), Product and production development, Chalmers University of Technology, Gothenburg, 2015
Professor of Mechanical Engineering, Örebro University, 2016
Professional organizations and assignments
Member, American Society of Mechanical Engineers (ASME)
Collaborations
Research projects
Active projects
- AVANS MAXI: Mechanical Engineering Master program in Data-driven Engineering Design
- A general digital twin driving mining innovation through statistical and logical modelling
Completed projects
- Production Centred Maintenance for predictive maintenance decision support to maximise production efficiency
- Production Centred Maintenance (PCM) for real time predictive maintenance decision support to maximise production efficiency
- A digital twin to support sustainable and available production as a service
- DITRA - Arena för distribuerat ingenjörsarbete
- iStreams - Searching and analysing on-line high volume industrial streams
- LiM - Logic in Manufacturing
- NFFP4 - National Aviation Engineering Research Programme 4
- NSS - Nordic Safety and Security
- Predictive Maintenance for Service Business Models and Extended Product Life
- SAPPA - Service Architecture for Product and Production Availability
- Smart Vortex
- SSPI - Scalable search of product life cycle information
- The Faste Laboratory
- The Polhem Laboratory