List of active Special Sessions at FAIM2017 conference (submission paper is open via EasyChair conference management system):
Collaborative robots for smart manufacturing
Abstract: Robots are a key element to achieve manufacturing competitiveness, especially if they are able to interact and collaborate with humans in a shared workspace, creating a co-working partnership. The paradigm for robot usage has changed from an idea in which robots work with complete autonomy to a scenario in which robots collaborate with humans. This means taking the best of each partner, human and robot, by exploring the cognitive and dexterity capabilities of humans (focus on value-added tasks) and the capacity of robots to produce repetitive work and provide assistance. Humans should be able to cognitively and physically interact with robots using gestures, touch commands and task demonstration. Robots should be able to navigate autonomously in the factory floor to pick up the required parts and tools and prepare kits. The demand for collaborative robots is growing exponentially in the diferent areas of manufacturing domain. Collaborative robots are central in the flexible factory of the future and in Industry 4.0.
Data Science in Semiconductor Manufacturing & Data Science in Manufacturing
Chairs: Chen-Fu Chien, National Tsing Hua University (Taiwan) - Chia-Yen Lee, National Cheng Kung University (Taiwan)
Abstract: Semiconductor manufacturing is capital-intensive and characterized by the short product life cycle, rapid technology migration, long production lead-time, and complex production networks. These characteristics bring more challenges and difficulties to the manufacturing management. This session focuses on how the data mining and machine learning techniques support problem-solving and enhance the core competence in semiconductor manufacturing industry. The topics include process diagnosis, yield improvement, equipment health monitoring, and demand-supply mismatching.
Engineering Collaboration for Smart Manufacturing
Abstract: Alliances are now a permanent feature of businesses. In the past decades, the manufacturing industries like automotive, aerospace or shipbuilding were even more shifting to a distributed environment, building an extended enterprise around the globe with increasing agility of all stakeholders. This organizational and geographical fragmentation has progressed to an unparalleled extent – global in scope and scale. Thus, the upcoming outsourcing has derived a multi-tier supply network structure involving numerous enterprises around the globe. Even product development takes place in global development partnerships. OEMs accomplish the development of new products at many locations in several countries across the world. We expect contribution to the following topics: Requirements for Engineering Collaboration, Concepts of Engineering Collaboration, Methods and Tools for Engineering Collaboration, Collaboration in Cross-Domain Development, Supporting model for collaboration networks, · Knowledge sharing in Engineering Collaboration, and Intellectual Property Protection and legal issues in Engineering Collaboration.
AR Applications in Industry 4.0
Abstract: After 25 years of research, Augmented Reality (AR) is still used mainly in gaming, virtual tourism and navigation. However, AR has a huge potential not yet expressed in CAD design, engineering support, production and maintenance. AR can bring significant benefits in the product lifecycle of the factory of the future. AR is also one of the nine enabling technologies that will power the transformation supported by Industry 4.0 initiative. The objective of this Special Session is to identify challenges, opportunities, and new applications of AR in the industrial and engineering context; disseminate recent insights and findings by the CAD/CAM communities; demonstrate the integration between different disciplines such as engineering, computer science and human factors; define and discuss theoretical, usability and computational issues and cutting edge techniques across multiple and diversified fields. Researchers and experts from academia and industry are invited to share their original work by submitting research and application papers for this special session. We seek studies on, and contributions to, augmented and virtual reality applications in the following topics: Applications and case studies of AR in industry, Methods for industrial AR solutions, Studies on Usability & Validation of AR in CAD\E, Collaborative industrial AR systems, Usability test reports, Methods and workflow from CAD\E to AR, Technical documentation management, Visualization of complex CAD\E data in AR, Innovative metaphors to access to interactive product data, Simplification of CAD\E workflow in service and maintenance procedures, AR in safety‐critical systems, CAD\E data on mobile systems, Cognitive models for understanding the impact of AR on human perception.
ICT-enabled technologies in Smart Factories
Chairs: Paolo Pedrazzoli, Technology Transfer System srl (Italy); Michele Ciavotta, University of Applied Science of Southern Switzerland (SUPSI) (Switzerland)
Abstract: Modern ICT technologies are key enablers for the future of manufacturing; especially simulation, analytics and forecasting, cornerstones of I4.0, will contribute massively to boost productivity and economic growth in the next decade. This section focuses on innovative platforms and methodologies devoted to optimize and predict product-process dynamics, providing smart decision-making support.
3D Reverse Engineering: methods and applications
Chairs: Lapo Governi, University of Florence (Italy); Luca Di Angelo, University of L'Aquila (Italy)
Abstract: Nowadays, with the advent of high-resolution, high-accuracy and low cost 3D scanners, new scenarios are offered in many industrial, biomedical and cultural heritage fields. The performances of such tools have the potential of being able to replace, in some applications, invasive techniques (CT, X-rays, etc.) or poorly automatable ones (CMM) in the digitization of a three-dimensional model. Acquired data, however, need processing and this has proven to be a crucial task in order to obtain meaningful "information". The session focuses on Reverse Engineering equipment, algorithms and applications in different fields, such as, automated inspection, customized product design, re-engineering, biomedical devices and Pattern recognition.
Abstract: What motives investigations around human factors for smart manufacturing? The special session on Human-Centred Manufacturing moves from this general question to find challenging methods and novel enabling technologies linking ergonomics, safety and wellbeing with productivity and process efficiency. They include knowledge management, organization sustainability, business relationship and interdependencies management, process monitoring, manual assembly/disassembly operations, usability of human-machine interfaces, effective virtual training, machine assistance and remote maintenance. The aim of the session is to propose a constructivist and upstanding turn based on human factors to go beyond the traditional paradigm of the factory of the future.
Permeating lean thinking into value networks: an Asian perspective
Abstract: In an increasingly digitalisation industry, the lean philosophy behind this concept and the methodologies to improve value network’s performance will be more important to realize this objective. This session concerns and invites relevant academic research papers, with significant attention given to practical issues and case studies in Asia.
Robots in Added Value Manufacturing
Chairs: Rezia Molfino, Università di Genova (Italy); Sotiris Makris, University of Patras; Carlo Canali, IIT, Genova
Abstract: Robots are playing a unique role in shifting manufacturing towards added value manufacturing. Modern robots combine advanced mechanical structure, mobility and docking ability, motion and task dexterity features with human-like cognition and intelligence capabilities such as sensing, dexterity, memory, trainability, and object recognition. They are becoming smarter, faster and cheaper, so they are being called upon to take on more jobs in industries—such as intelligent manipulation, testing or inspecting products and resources, serving additive manufacturing systems or assembling micro and nano parts, well beyond traditional repetitive, onerous or dangerous tasks, behaving as smart industrial work assistants. In addition, a new generation of collaborative robots is ready to work safely out of their cages, sharing workplaces and working hand-in-hand with human workers.
The special session “Robots in Added Value Manufacturing” welcomes papers in the following areas:
- Innovative robot applications in added value manufacturing
- Smart manipulation
- Robots collaborating with manufacturing resources (humans included)
- Robots for logistics
- Energy efficiency robotics in added value manufacturing
- Robots for zero defect manufacturing
- Robot assisted additive and hybrid manufacturing
- Robots in micro and nano assembly
- Horizon 2020 and FP7 robotized manufacturing pilots
- Cognitive manufacturing systems
- Robot-Human workplaces