About the conference
The Swedish Production Symposium is arranged for the 10th time. For the first time we have the honor to welcome you to the University of Skövde and the beautiful city of Skövde, located in the middle of south Sweden. Skövde is close to many interesting, both larger and small- and medium sized, manufacturing companies such as Volvo and CEJN. Travelling by train, Skövde is two hours from Stockholm and one hour from Gothenburg.
After the SPS2020 organized by the Jönköping University, this will be the second time that SPS is jointly organized with the Product Development Academy (PDA) in Sweden.
Swedish Production Symposium (SPS) is a bi-yearly conference primarily organized by the Swedish Production Academy (SPA).
Submission Guidelines
The overall theme for SPS2022 is "Industry 5.0 Transformation – Towards a Sustainable, Human-Centric, and Resilient Production". We invite authors to submit original scientific work or descriptions of industrial applications which are unpublished or not simultaneously submitted to another journal or conference. You are welcome to submit one or more papers whereas each submission has to fall in the scope of one of the following topics:
A. Resource- efficient production
B. Flexible production
C. Virtual production development
D. Humans in the production system
E. Circular production systems and maintenance
F. Integrated product and production development
G. Industrial optimization and decision-making
H. Cyber-physical production systems and digital twins
I. Innovative production processes and additive manufacturing
J. Smart and resilient supply chains
K. Linking research and education
Special Sessions
1. “Artificial Intelligence and Industrial Analytics in Industry 4.0”.
Moderators: Associate Professor Sunith Bandaru and Professor Amos Ng, both from School of Engineering Science, University of Skövde, Sweden.
With the Industry 4.0 vision, the collection and comprehensive evaluation of data from many different sources - production equipment and systems as well as enterprise - and customer-management systems will become standard to support real-time decision-making. The importance of sophisticated Industrial Analytics (IA) and Big Data will continue to increase in order to transform data into knowledge and insights.
Artificial intelligence (AI) is a disruptive technology and one of the main drivers of advanced industrial developments. AI is at the center of the smart factory and efficient processing of the exponentially growing amounts of data would not be possible without AI. Over time, AI will be gradually implemented in almost every aspect of industrial operations. As we see it, AI will not replace humans but enhance them. By combining the power of the human brain and the artificial brain, we create the real game-changer. This special session will collect all the contributed and invited papers related to IA and AI in manufacturing. Presentations from any ongoing projects and/or Ph.D. studies associated with IA and AI are particularly welcome.
2. “Development of resilient and sustainable production systems”.
Moderators: Professor Kristina Säfsten and Associate professor Kerstin Johansen, both from School of Engineering, Jönköping university, Sweden.
Resilience and sustainability are essential requirements for competitive manufacturing in the future. Sustainability was identified as a megatrend more than a decade ago. We take a triple bottom line perspective and include social, economic, and environmental aspects in relation to the production system. Furthermore, in the wake of the corona pandemic the need for resilient production systems has become evident, meaning production system with an ability to change or adapt during times of stress, disruption, or uncertainty. To be competitive, the quest for profitability cannot be neglected but must be considered in parallel. A well-known fact is that it is during the development of a production system we have the best opportunity to create requested ability from the production system.
During this special session we will focus on development of resilient and sustainable production systems, contributing to profitability and a competitive position for the manufacturing company. We welcome papers that elaborate on how this can be done. Focus may be on the production system development process, the balance between the different requirements, the content and design of such a production system, required production technologies, relevant competitive priorities, and other related aspects.
3. "Boundary crossing and boundary objects in product and production development"
Moderator: Assistant Professor Paraskeva Wlazlak, School of Engineering, Jönköping University, Sweden.
Managing specialized knowledge across boundaries is a key challenge for today’s manufacturing companies. Companies need ability to swiftly adapt their products and production systems to new and quickly changing requirements. Integration and boundaries between product and production development addressed from a knowledge perspective are the focus of this special session. This session aims at exploring how engineers dealing with product and production development devise and use means and mediators to support boundary-crossing knowledge integration in product and production development. A mean to support knowledge integration is through boundary objects, a potential concept still underdeveloped in product and production development. Boundary objects are means of representing, learning about, or transforming knowledge to deal with the consequences of differences and dependencies at a boundary between two specialized knowledge domains. Boundary objects are contextual, i.e., they are not effective in all contexts and depend on the boundary that they need to deal with. It is well known that there is varying complexity at a boundary which requires boundary objects with different characteristics to support knowledge integration across those boundaries.
To this special session we especially welcome contributions delving into design and use of boundary objects to support boundary crossing and knowledge integration between product and production development. Both successful and less successful examples are valuable. Furthermore, we welcome contributions looking into contextual factors that affect the use of boundary objects in product and production development.
Scientific committee
Members from the Swedish Production Academy (SPA) and Product Development Academy - Sweden (PDA), as well as additional reviewers of papers submitted to SPS2022.
Ainhoa Goienetxea, University of Skövde
Aitor Iriondo Pascual, University of Skövde
Alessio Bucaioni, Mälardalen University
Alexander Kaplan, Luleå University of Technology (SPA)
Amir Nourmohammadi, University of Skövde
Amos Ng, University of Skövde (SPA)
Anders Jarfors, Jönköping University (SPA)
Anders Skoog, Chalmers University of Technology
Anders Warell, Lund University (PDA)
Andreas Archenti, KTH Royal Institute of Technology (SPA)
Andreas Lind, University of Skövde/Scania
Anna Runnemalm, University of Skövde
Anna Syberfeldt, University of Skövde (SPA)
Anna Öhrwall Rönnbäck, Luleå University of Technology (SPA and PDA)
Ayca Özcelikkale, Uppsala University
Babak Kianian, Lund University
Bengt Lindberg, KTH Royal Institute of Technology (SPA)
Bengt-Göran Rosén, Halmstad University (SPA)
Bernard Schmidt, University of Skövde
Björn Fagerström, Lund University (PDA)
Björn Johansson, Chalmers University of Technology (SPA)
Carin Andersson, Lund University (SPA)
Dan Högberg, University of Skövde (SPA and PDA)
Dan Lämkull, University of Skövde/Volvo Cars
Ehsan Mahmoodi, University of Skövde
Erik Sundin, Linköping University (SPA)
Fredrik Elgh, Jönköping University (PDA)
Gary Linneusson, Jönköping University
Glenn Johansson, Lund University (SPA and PDA)
Gunnar Bolmsjö, Linnaeus University (SPA)
James Yang, University of Skövde/Texas Tech University, USA
Jan-Eric Ståhl, Lund University (SPA)
Jessica Bruch, Mälardalen University (SPA)
Jetro Kenneth Pocorni, Linnaeus University
Jinming Zhou, Lund University (SPA)
Johan Stahre, Chalmers University of Technology (SPA)
Johan Ölvander, Linköping University (PDA)
Keith Case, Loughborough University, UK
Kerstin Johansen, Jönköping University
Kjell Andersson, KTH Royal Institute of Technology (PDA)
Kosmas Alexopoulos, University of Patras, Greece
Kristina Säfsten, Jönköping University (SPA)
Lars Hanson, University of Skövde/Scania
Lars Pejryd, Örebro University (SPA)
Lena Abrahamsson, Luleå University of Technology (SPA)
Leo De Vin, Karlstad University (SPA)
Lihui Wang, KTH Royal Institute of Technology (SPA)
Lina Gharaibeh, University West
Luis Ribeiro, Linköping University
Magnus Wiktorsson, KTH Royal Institute of Technology (SPA)
Mahesh Kumbhar, University of Skövde
Malin Löfving, Jönköping University/Träcentrum
Masood Fathi, University of Skövde
Mats Björkman, Linköping University (SPA)
Mats Johansson, Chalmers University of Technology (SPA)
Mattias Strand, University of Skövde
Mauro Onori, KTH Royal Institute of Technology (SPA)
Monica Bellgran, KTH Royal Institute of Technology (SPA)
Nicole Tobisková, University West
Ola Isaksson, Chalmers University of Technology (PDA)
Pavel Krakhmalev, Karlstad University (SPA)
Per Nylén, University West (SPA)
Peter Krajnik, Chalmers University of Technology (SPA)
Peter Thorvald, University of Skövde
Richard Sennington, University of Skövde
Rikard Söderberg, Chalmers University of Technology (SPA)
Stefan Ericson, University of Skövde
Sunith Bandaru, University of Skövde
Tehseen Aslam, University of Skövde
Thomas Beno, University West (SPA)
Tobias Larsson, Blekinge Institute of Technology (PDA)
Torgny Almgren, University of Skövde/GKN Aerospace Engine Systems
Wei Wang, University of Skövde
Victor Azamfirei, Mälardalen University
Xi Wang, KTH Royal Institute of Technology
Yuning Jiang, University of Skövde
Organizing committee
Amos H.C. Ng (Chair)
Anna Syberfeldt (Co-chair)
Dan Högberg (Co-chair)
Magnus Holm (Co-chair, admin. and accounting)
Rena Ahmad (Admin. support)
Jill Elmshorn (Web design and management)
Pernilla Klingspor (Event organizer)
University of Skövde, Sweden