Special Sessions
List Of
Special
Sessions
DETAILED DESCRIPTION:
SS1 – Cyber-Physical Systems and Predictive Maintenance for Enhanced Reliability and Availability in Industry 4.0
The development of Industry 4.0 has brought a paradigm change in the industry’s approach to production and maintenance. This new era leverages cutting-edge technologies such as cyber-physical systems (CPS), the Industrial Internet of Things (IIoT) and advanced data analytics to create highly responsive and efficient industrial environments. The focus is on achieving higher levels of system reliability and availability through predictive maintenance and real-time decision making.
Cyber-physical systems (CPS) play a key role in this transformation by integrating computational capabilities with physical processes to enable intelligent monitoring, control and automation of industrial operations. These systems can simulate working conditions in real time, providing valuable insights that improve production efficiency and decision-making. As a result, CPS is becoming a cornerstone in the evolution towards smart factories and intelligent production environments.
Predictive maintenance complements this approach by moving from traditional, reactive maintenance strategies to more proactive ones. By harnessing the power of big data, machine learning and artificial intelligence, predictive maintenance enables early detection of potential equipment failures, preventing costly downtime and extending the life of machinery. This change not only reduces maintenance costs, but also significantly improves overall system reliability and availability. costs, but also significantly improves overall system reliability and availability.
This special session aims to provide a platform for thought leaders, researchers, and industry practitioners to share their latest findings, innovations, and experiences. The session will cover a wide range of topics that are integral to the successful implementation of Industry 4.0 technologies, fostering an environment of collaborative learning and knowledge exchange.
Topics of interest include but are not limited to the following:
- Smart manufacturing and maintenance
- Smart factories and Industrial Internet of Things (IIoT)
- Robotics and mechatronic systems
- Mechatronics systems design
- Mechanical systems design and analysis
- Digital twins
- Multi-Agent Systems (MAS)
- Automation measuring systems and sensors
- Human-Machine Interaction and Machine-to-Machine Communication (M2M)
- Learning control and cognitive computing
- Reliability and risk assessment
- Cybersecurity applications in industrial systems
- Simulation and modeling of production systems
- Artificial intelligence in decision support systems
- Intelligent systems for predictive maintenance
Attendees will benefit from insightful presentations and discussions exploring the latest advances in CPS and predictive maintenance. They will have the opportunity to network with peers, explore innovative solutions and gain a deeper understanding of how these technologies can improve reliability and availability in the context of Industry 4.0. This session will stimulate new ideas, collaborate and advance the industrial sector.
Organizers:
Katarzyna Antosz: Rzeszow University of Technology, PL
katarzyna.antosz@prz.edu.pl
Erika Ottaviano: University of Cassino and Southern Lazio, IT,
ottaviano@unicas.it
Pierluigi Rea: University of Cagliari, IT,
pierluigi.rea@unica.it
Arkadiusz Gola, Lublin University of Technology, Poland,
a.gola@pollub.pl
Alejandro Pereira: University of Vigo Spain, ES,
apereira@uvigo.es
DETAILED DESCRIPTION:
SS2 – Industrial Engineering in Era of Digital Transformation
Nowadays, collaborative engineering approaches, tools and practices are of upmost importance for reaching a sustainable development in the current digitalization era. Thus, the development of Manufacturing, Management, and Maintenance Models, Methods, systems and platforms oriented to a collaborative and sustainable Industry 4.0 (or I4.0 for short) is a challenging outcome. This special session aims at contributing with new insights regarding manufacturing, management and/ or maintenance paradigms (strategies), methods, tools, and practices aligned with the nowadays necessity to create and implement collaborative and sustainable I4.0 manufacturing systems.
Therefore, contributions are encouraged in manufacturing, management and/ or maintenance to reach collaboration and sustainability purposes in I4.0 oriented manufacturing systems. The authors should consider in their original contributions, the clear identification of the collaboration and/or the sustainability and the I4.0 domain, the clear description of the proposed paradigm, method, tool, and/ or practices approached, and its validation in the scope of at least one of the three main domains considered in this special sessions (collaboration, sustainability and industry 4.0) for at least one of the scientific areas underlying this special session (manufacturing, management, and maintenance).
Regarding this structure for the authors’ contributions, are expected new theoretical and practical insights for the stakeholders involved in the I4.0 design, management and/ or implementation of collaborative and/or sustainable manufacturing systems.
Topics of interest include but are not limited to the following:
- Circular economy, economic, environmental, and/ or social sustainability
- Industrial engineering: manufacturing, management and/ or maintenance:
- paradigms: dynamic, integrated, distributed, intelligent, predictive, parallel and real time based management,
- methods,
- tools,
- practices,
- operations,
- critical success factors,
- metatheory,
- organizational change and transformation,
- learning organization,
- Industry 4.0 pillars:
- Cyber Physical Systems,
- Artificial Intelligence,
- Big data analytics,
- Supply chain management,
- Horizontal and vertical integration,
- Cybersecurity,
- New business models,
- Open Design,
- Cloud manufacturing,
- Additive manufacturing,
- Autonomous and Collaborative Robots,
- Simulation and augmented reality.
Organizers:
Justyna Trojanowska, Poznan University of Technology, PL
justyna.trojanowska@put.poznan.pl
Leonilde Varela, University of Minho, PT
leonilde@dps.uminho.pt
Sobowale Ademola Adeniyi, University of Minho, PT
id10361@alunos.uminho.pt
Vijaya Kumar Manupati, NITIE Mumbai, IN
manupativijay@nitie.ac.in
Michał Szaroleta, Łukasiewicz – Poznan Institute of Technology, PL
michal.szaroleta@pit.lukasiwicz.gov.pl
DETAILED DESCRIPTION:
SS3 – Engineering Applications for Medical and Healthcare Devices – ENGCARE 2025
Technologies and applications for medical and healthcare devices are part of the actual human daily life and with an increasing demand. Nowadays, we are able to find them practically everywhere, apart from the healthcare units, as integrated, among others, in our homes, body, mobile devices and vehicles, with the objective of improving our safety, comfort, performance and quality of life.
We invite researchers, academics, and professionals to submit either original research (work in progress or developed) as well as review articles that will contribute to the dissemination of Engineering Applications for Medical and Healthcare Devices.
Topics of interest include but are not limited to the following:
- Medical devices for monitoring, diagnosis, and therapy
- Blockchain in Healthcare Devices
- IoT-enabled Healthcare Devices
- Cybersecurity in Medical Devices
- Sustainable and Eco-friendly Medical Devices
- Human-Machine Interfaces for Healthcare
- Biomedical sensors
- Healthcare sensors
- Mobile healthcare
- Home healthcare
- Wearable healthcare
- In-car healthcare
- Artificial intelligence in medical devices and systems
- Ambient assistive living
- Tele-healthcare
- Serious games for healthcare and medical training
- Medical robotics
- Inclusive technology
- medical devices design
- Safety and usability in medical devices
- AR, VR or MR in healthcare and medical devices
- Emerging Technologies in medical devices and systems
Organizers:
Vítor Carvalho, 2Ai-EST,IPCA & Algoritmi RD- Minho University, PT
vcarvalho@ipca.pt
Filomena Soares, Algoritmi RD- Minho University, PT
fsoares@dei.uminho.pt
Demétrio Matos, iD+-IPCA, PT
dmatos@ipca.pt
DETAILED DESCRIPTION:
SS4 – Optimization in Industry 5.0
This proposed special session will explore optimization techniques and their applications in addressing Industry 5.0 challenges in the areas of Industrial Engineering and Management and Robotics. Potential topics may include, but are not limited to supply chain optimization, production planning, collaboration between humans and robots, resource allocation, and decision-making under uncertainty. The session aims to present innovative approaches that enhance efficiency, reduce costs, and improve overall operational performance. State-of-the-art methods and real-world case studies may help demonstrate the potential of optimization in today’s competitive industrial landscape.
Organizers:
Rui Borges Lopes, DEGEIT/CIDMA, Universidade de Aveiro, PT
rui.borges@ua.pt
Eliana Costa e Silva, CIICESI, ESTG, Instituto Politécnico do Porto and Centre Algoritmi, University of Minho, PT
eos@estg.ipp.pt
DETAILED DESCRIPTION:
SS5 – Statistical and critical thinking impact on decision making under uncertainty
UNESCO’s 2010 report highlighted engineering’s crucial role in facing global challenges, a point reinforced in the 2021 report, emphasizing engineering’s importance for sustainable development and addressing human needs. As the world becomes more data-driven and technology-focused, educators and professionals are called upon to adopt new methodologies to tackle real-world complexity and uncertainty. Central to this is the integration of statistical thinking, critical thinking, machine learning (ML), and artificial intelligence (AI) in decision-making. The rising demand for graduates with both technical and critical problem-solving skills poses a unique challenge for STEM educators.
This special session aims to bring together engineers, educators, researchers, and industry experts to share insights, experiences, and innovative practices regarding the evolving role of statistical methods, critical thinking, and AI/ML technologies in decision-making under uncertainty. We seek to explore how these tools are being integrated into engineering education, business practices, and scientific research, and how they contribute to improving decision-making processes, especially when facing complex, uncertain environments.
Moreover, this session will highlight the importance of education in statistics, focusing on how active learning approaches can cultivate critical thinking skills. In an age where data science and artificial intelligence are transforming industries, fostering a deeper understanding of uncertainty and decision-making is essential for both academia and industry.
Key topics will include the intersection of statistical methodologies with machine learning and AI, and how they are revolutionizing fields such as engineering, finance, environmental sciences, healthcare, and social sciences. The session will also address how education systems can better equip students with the critical thinking skills needed to interpret data and make informed decisions using these advanced tools.
Topics of interest include but are not limited to the following:
- Machine Learning and AI Applications in Decision Making
- The Role of Statistics and Critical Thinking in AI/ML Model Interpretation
- Teaching and Communicating Statistics in the Era of Data Science
- Data Science and Predictive Analytics in Engineering
- Statistical Methods for Uncertainty Quantification in Industry
- AI and Machine Learning in Medical Decision Making
- Educational Approaches for Teaching Statistics and Critical Thinking
- Innovative Applications of Statistics in Business, Engineering, and Social Sciences
- Ethical Implications of AI and Statistical Models in Decision Making
- Impact of Temporal and Spatial Statistics on Environmental Engineering
This session will provide a platform for academia and industry to exchange knowledge, explore new approaches, and discuss emerging challenges and opportunities related to the use of statistics, machine learning, and critical thinking in decision-making under uncertainty. We aim to foster collaboration that bridges the gap between educational methodologies and industry needs in this fast-evolving landscape.
Organizers:
A. Manuela Gonçalves – Centre of Mathematics (CMAT), School of Sciences, University of Minho, PT
mneves@math.uminho.pt
Celina Pinto Leão – Centro ALGORITM, School of Engineering, University of Minho, PT
cpl@dps.uminho.pt
M. Teresa Malheiro – Centre of Mathematics (CMAT), School of Sciences, University of Minho, PT
mtm@math.uminho.pt
DETAILED DESCRIPTION:
SS6 – Innovations in Control, Automation and Robotics
This special session addresses all aspects of control, automation and robotics related to designing safe, reliable and efficient engineering applications. Researchers and students from academia as well as industry experts are invited to share their latest findings, best practices, experiences and visions related to these important fields of engineering.
Topics of interest include but are not limited to the following:
- Modern Control Approaches;
- Modelling and Simulation for Control;
- Case Studies of Control and Automation;
- Robotics Applications;
- Software Tools for Control Systems Design, Automation and Robotics;
- New Trends in Engineering Education related to Control, Automation and Robotics;
- Networked Control systems;
- Industrial Networks;
- Industrial Communication Protocols;
- Cyber-Physical Systems;
- Internet of Things;
- Industry 4.0;
- Industry 5.0.
Organizers:
Frantisek Gazdoš, Tomas Bata University in Zlín, Faculty of Applied Informatics, CZ
gazdos@utb.cz
Jiří Vojtěšek, Tomas Bata University in Zlín, Faculty of Applied Informatics, CZ
vojtesek@utb.cz
DETAILED DESCRIPTION:
SS7 – Sustainable Development: Digitalization and 3D Information in Manufacturing Systems
This special session focuses on actual aspects of the UN Sustainable Development Strategy as it applies to research, innovation, and technology, especially industry and transport. Particular attention is devoted to the challenges of their digitalization within the concepts of Industry 4.0 and Industry 5.0, without which efforts to achieve the global Sustainable Development Goals cannot be realized.
We invite researchers, PhD students, university students, specialists from design offices and research centers, and industry and transport experts to contribute to this session. Share your latest research, innovation results, and new scientific ideas that are relevant to the critical areas of engineering in sustainable development and digitalization.
Topics of interest include but are not limited to the following:
- Current missions, strategies, and practical challenges for sustainable industrial and transport development;
- Modeling, IT technologies, and digital methods for representing, processing, and exchanging information in engineering;
- Technologies for optimizing the life cycle of complexes, systems, and products in industry and transport;
- Scientific and technical solutions to the problems of ecologization, decarbonization, green energy, and alternative energy sources;
- The role of 3D information in sustainable development;
- Digital twins;
- Augmented and virtual reality;
- Internet of Things;
Organizers:
Andrii Marchenko, National Technical University ‘Kharkiv Polytechnic Institute’, Kharkiv, UA
andrii.marchenko@khpi.edu.ua
Sergey Dobrotvorskiy, National Technical University ‘Kharkiv Polytechnic Institute’, Kharkiv, UA
sergiy.dobrotvorskyy@khpi.edu.ua
Yevheniia Basova, National Technical University ‘Kharkiv Polytechnic Institute’, Kharkiv, UA
yevheniia.basova@khpi.edu.ua
DETAILED DESCRIPTION:
SS8 – Industry 4.0: Digitalization, Advanced Product Design, and Smart Manufacturing Technologies
The organizers of this special session invite researchers to submit original research papers, surveys, and case studies in the field of Industry 4.0, focusing on areas that contribute to industrial digitalization and the modernization of manufacturing. This session aims to bring together novel contributions from researchers and practitioners addressing the latest technologies and developments in key areas of smart manufacturing, including advanced manufacturing technologies and processes, mechatronic devices, product design and development, smart materials, data and artificial intelligence, cyber-physical systems, predictive maintenance, sustainability, industrial communication, and IoT/IIoT systems. Submissions are also encouraged on emerging topics such as additive manufacturing and new hybrid processes, advanced robotics, modeling and simulation for smart manufacturing, smart material handling and transportation vehicles, vision-guided robotics, digital twins, machinery health monitoring, and edge, fog, and cloud computing. This session provides a forum for reviewing, disseminating, and identifying critical challenges that drive the industrial digitalization process, fostering the development of sustainable and efficient manufacturing systems.
Topics of interest include but are not limited to the following:
- Additive Manufacturing and New Hybrid Processes,
- Advanced Mechatronics Devices,
- Advanced Product Design and Development,
- Automation and Robotics,
- Big Data, Machine Learning and Deep Learning,
- Case Studies and Testbeds on Smart Manufacturing,
- Cyber Physical Systems,
- Developments in Intelligent Manufacturing Systems,
- Edge, Fog, and Cloud Computing,
- Health Monitoring, Failure Inspection, and Diagnosis of Machinery,
- Industrial Communication Protocols,
- Industrial Vision Systems,
- IoT and IIoT,
- Mechatronics Sensing and Control,
- Modelling and Simulation for Smart Manufacturing,
- Refurbishment And Re-Manufacturing of Machinery,
- Simulation and Digital Twins,
- Smart Actuators and Materials,
- Smart Material Handling and Transportation Vehicles,
- Sustainable Materials, Products and Processes,
- Vision Guided Robotics,
- 5G in Industry.
Organizers:
Pedro Torres, Polytechnic University of Castelo Branco, PT
pedrotorres@ipcb.pt
Nuno Fernandes, Polytechnic University of Castelo Branco, PT
nogf@ipcb.pt
Flávia Barbosa, Institute of Science and Innovation in Mechanical Engineering and Industrial Engineering, PT
fbarbosa@inegi.up.pt
DETAILED DESCRIPTION:
SS9 – Artificial Intelligence, Cognitive Systems and the Learning Brain (AICSLB)
A review of the history of the development of artificial intelligence (AI) reveals that brain science has resulted in significant breakthroughs in AI, including the advent of deep learning. Notwithstanding the considerable advancements that have been made in the field of AI and its applications, a notable disparity persists between the capabilities of AI and those of the human brain. It is of the utmost importance to establish a bridge between brain science and AI research, including a link from brain science to AI and a connection from understanding the brain to simulating it.
The goal of the Session: to strengthen scientific interdisciplinary relations and to facilitate exchange of experience between leading scientists and discussion on acute questions and promising directions in the area of artificial intelligence.
Topics include cognitive modeling (more broadly, cognitive sciences), artificial intelligence (more broadly, computer science), computational neuroscience (more broadly, brain sciences), language sciences, robotics, virtual reality, cybersecurity, quantum computer, mathematical models in economics, sociology, educational sciences, philosophy, art, management, industrial and military applications.
Although some might find the concept of AICSLBEd alienating, the algorithms and models that comprise AICSLBEd form the basis of an essentially human endeavour. AICSLBEd offers the possibility of learning that is more personalised, flexible, inclusive, and engaging. It can provide teachers and learners with the tools that allow us to respond not only to what is being learnt, but also to how it is being learnt, and how the student feels.
Topics of interest include but are not limited to the following:
- Human-Centered AI: Context plays a critical role in enabling AI systems to interact with humans and other agents naturally and appropriately.
- Human-Computer Interaction: The incorporation of context is critical to enhance user experience in AI systems. How can we design AI systems that effectively leverage contextual information to improve the overall user experience?!
- Ethical and Responsible AI: Context is critical for addressing ethical considerations in AI, including issues of privacy, bias, and fairness.
- Explainable AI: Contextualizing explanations is essential to understanding how and why AI systems work, evaluating their effectiveness and efficiency, and helping users achieve their goals.
- Machine Learning and Knowledge Representation: Contextual information must often be inferred from data, thus requiring machine learning approaches for dynamic adaptation of context models and methods for reasoning with uncertainty.
- Ambient Intelligent Systems: AmI systems are characterized by embedded, context-aware, context-sensitive, personalized, adaptive, anticipatory, and socially intelligent technologies.
- Natural Language Processing: Context is vital for natural language processing, improving accuracy and effectiveness in understanding and generating natural language.
As an interdisciplinary topic, contextual AI has clear relations to linguistics and semiotics, cognitive science and psychology, mathematics and philosophy, as well as sociology and anthropology. The MRC workshop series is highly interactive and offers a platform for researchers and practitioners from different disciplines to exchange ideas and discuss the latest advancements in contextual AI. As context research is inherently transdisciplinary, we encourage a range of publication formats that may not be commonly seen in the AI community, including narrative reviews, ethnographic stories, and artistic creations, reflecting the diverse perspectives and approaches needed to fully understand the complexities of context.
Organizers:
Olena Hrybiuk, Associate Professor, Leading Researcher, International Scientific and Technical University, Institute for Digitalisation of Education of the NAES of Ukraine, UA
olenagrybyuk@gmail.com
Dr Kamil Filipek, Centre for Artificial Intelligence and Computer Modelling, Marii Curie Skłodowska University in Lublin, PL
Dr Anna Pyzara, Faculty of Mathematics, Physics and Computer Science, Marii Curie Skłodowska University in Lublin, PL
Dr Eliza Jackowska-Boryc, Faculty of Mathematics, Physics and Computer Science, Marii Curie Skłodowska University in Lublin, PL
DETAILED DESCRIPTION:
SS10 – Designing and Engineering for Resilience: Innovation, Sustainability, and Digital Transformation
In this Special Session, we will explore how design and engineering can drive resilience in digitally transforming economies, with a focus on sustainable innovation. In a rapidly changing world, where technological, social, and environmental shifts are constant, the need to develop resilient systems, products, and processes has become imperative. This session offers a unique opportunity to discuss design and engineering strategies that create economic and social value while promoting sustainability and adaptation to change.
SS10 invites researchers, designers, engineers, and entrepreneurs to explore and share innovations that integrate resilience across different industrial sectors. We will adopt a multidisciplinary approach to strengthen collaboration between innovation, technology, and sustainability, with a vision centered on digital transformation and resource protection. The goal is to foster the creation of business cooperation and knowledge networks that contribute to building a more resilient, human-centric, and sustainable future.
Topics of interest include but are not limited to the following:
- Resilient Design for Sustainable Innovation: Design strategies that promote product adaptability and longevity.
- Digital Transformation and Sustainability: Integration of emerging technologies, such as IoT, artificial intelligence, and additive manufacturing, to enhance resilience in products and processes.
- Design and Engineering for Circular and Regenerative Economies: Approaches that maximize resource reuse and promote environmental regeneration.
- Technological Solutions for Well-Being and Productivity: Integration of smart technologies to optimize user well-being and process efficiency.
- Collaborative Design and Knowledge Networks: Creation of cooperation networks that facilitate the joint development of technological and sustainable innovations.
- Sustainable Innovations with a Focus on Endogenous Resources: Design and engineering strategies that leverage local and traditional resources to create competitive and sustainable value.
- Challenges and Opportunities in Sustainable Digital Transformation: Case studies and new trends demonstrating how digital transformation can be a lever for sustainability.
- Integration of Engineering and Design in Urban Resilience: Solutions for smart and sustainable cities, focusing on mobility, energy, and green infrastructure.
Organizers:
Maria João Félix, CIAUD, Universidade de Lisboa & Polytechnic Institute of Cávado and Ave, PT
mfelix@ipca.pt
Gilberto Santos, ID+ & Polytechnic Institute of Cávado and Ave, PT
gsantos@ipca.pt
Ricardo Simões, 2Ai & Polytechnic Institute of Cávado and Ave, PT
rsimoes@ipca.pt
DETAILED DESCRIPTION:
SS11 – Machine Learning Algorithms & Applications for Engineering and Business
This session aims to bring together cutting-edge research on the latest advancements in machine learning algorithms, from researchers and practitioners in academia and industry. Their applications to real-world problems and their potential to revolutionise the user experience, particularly in the engineering and business domains, are especially encouraged.
Submission and presentation of papers is encouraged to provide an excellent international forum for sharing knowledge and in theory, methodology and applications of on Machine Learning & Applications. The following topics reflect some of the diversity of applications and research areas.
Topics of interest include but are not limited to the following:
- Accreditation of laboratories I4.0
- Circular Economy and Quality Innovation
- Circular Economy in Industry 4.0
- Continuous Improvement
- Corporate Social Responsibility & Environmental Management
- Digital Manufacturing Technologies
- EFQM – (European Foundation for Quality Management)
- Industry 5.0
- Internet of things
- Lean Green
- Lean Management
- Lean Management and Industry 4.0
- Lean Safety
- Lean Six Sigma
- Metrology
- QFD – Quality Function Development
- Quality and Sustainability in production and service
- Quality Assurance
- Quality integrated with others management Systems
- Quality Management
- Quality Tools
- Six Sigma in Industry 4.0
- Total Quality Management
Organizers:
Filipe R. Ramos, CEAUL, University of Lisbon, PT
frramos@ciencias.ulisboa.pt
Fernanda A. Ferreira, UNIAG – Polytechnic Institute of Porto, PT
faf@esht.ipp.pt
Maria Teresa Pereira, Polytechnic Institute of Porto, PT
mtp@isep.ipp.pt
Marisa Oliveira, Polytechnic Institute of Porto, PT
mjo@isep.ipp.pt
DETAILED DESCRIPTION:
SS12 – Machine Learning Algorithms & Applications for Engineering and Business
This session aims to bring together cutting-edge research on the latest advancements in machine learning algorithms, from researchers and practitioners in academia and industry. Their applications to real-world problems and their potential to revolutionise the user experience, particularly in the engineering and business domains, are especially encouraged.
Submission and presentation of papers is encouraged to provide an excellent international forum for sharing knowledge and in theory, methodology and applications of on Machine Learning & Applications. The following topics reflect some of the diversity of applications and research areas.
Topics of interest include but are not limited to the following:
- Artificial neural networks
- Bayesian networks
- Data Mining
- Decision-making by machine learning
- Deep neural networks
- Evaluation metrics for intelligent search
- Hybrid learning algorithms
- Integration of machine learning algorithms with other technological systems
- Intelligent virtual environments
- Learning and forecasting problems
- Learning methods and analysis
- Literature review of machine learning algorithms/applications
- Machine learning algorithms/applications
- Reinforcement learning
- Smart industries and cities
- Statistical learning
- Supervised machine learning
- Unsupervised machine learning
Organizer:
Fernanda A. Ferreira, UNIAG – Polytechnic Institute of Porto, PT
faf@esht.ipp.pt
Filipe R. Ramos, CEAUL, University of Lisbon, PT
frramos@ciencias.ulisboa.pt
Maria Teresa Pereira, Polytechnic Institute of Porto, PT
mtp@isep.ipp.pt
Marisa Oliveira, Polytechnic Institute of Porto, PT
mjo@isep.ipp.pt
DETAILED DESCRIPTION:
SS13 – Current and Future Trends in Logistics and Industrial Engineering
The digital transformation towards Industry 4.0 has become a necessity for businesses as it makes them more flexible, agile and responsive. Logistics and Industrial engineering is no exception, as it is constantly undergoing a significant transformation supported by revolutionary technologies that are fundamentally changing. In this SS you will present Current and future trends in logistics and industrial engineering. Researchers and students from academia as well as industry experts are invited to share their latest findings, best practices, experiences and visions related to these important fields of Logistics and Industrial engineering.
Topics of interest include but are not limited to the following:
- New trends in logistics and industrial engineering,
- Production, distribution and supply chain logistics,
- Simulation and modelling,
- Information logistics, e-commerce,
- Lean production system,
- Industry 4.0/5.0,
- Maintenance and reliability,
- Design and operation of production systems,
- Technological innovation and innovation management,
- Smart manufacturing process monitoring and control.
Organizer:
Jozef Husár, Technical University of Košice, SK
jozef.husar@tuke.sk
Piotr Trojanowski, West Pomeranian University of Technology in Szczecin, PL
piotr.trojanowski@zut.edu.pl
Martin Straka, Technical University of Košice, SK
martin.straka@tuke.sk
Peter Trebuňa, Technical University of Košice, SK
peter.trebuna@tuke.sk
DETAILED DESCRIPTION:
SS14 – Designing the Future: Sustainable Innovation and Engineering in a Well-Being Economy
At the crossroads of innovative technology and resource sustainability, this special session will address how Design aligns with Engineering and Innovation to drive globally competitive economies. This session will serve as a platform to discuss how cooperation networks and new business models, especially those that highlight endogenous resources, can be catalysts for economic and social development.
SS14 invites researchers, designers, engineers, and entrepreneurs to explore and share design strategies that promote innovation and engineering with a focus on a future where human well-being, environmental protection, and resource sustainability are pillars of a new economy.
This gathering is a unique opportunity to demonstrate advances in design and engineering, as well as to foster the creation of knowledge and business cooperation networks that involve all stakeholders. We seek contributions that illustrate the transformative power of Design when interconnected with technological innovation and engineering, shaping a sustainable and prosperous future for all.
Topics of interest include but are not limited to the following:
- Design and innovation as drivers for sustainable business models,
- Engineering and design applied to maximize well-being and minimize environmental impact,
- Cooperation and knowledge networks in design for a circular economy,
- New trends in design that promote sustainable technological innovation,
- Design initiatives that harness endogenous resources for competitive development,
- Design strategies for the integration of technological advances in sustainable solutions,
- Design, innovation, and engineering as foundations for creating added value for the economy and society,
- Design principles for the creation of networks of business cooperation and entrepreneurship.
Organizer:
Maria João Félix, Polytechnic Institute of Cávado and Ave, PT | University of Lisbon (School of Architecture), PT
mfelix@ipca.pt
Ricardo Simões, Polytechnic Institute of Cávado and Ave, PT
rsimoes@ipca.pt
Gilberto Santos, Polytechnic Institute of Cávado and Ave, PT
gsantos@ipca.pt