List of Confirmed Special Session
- Transforming engineer-to-order projects, supply chains, and systems
- Novel Solutions for Lean-Green Production Systems
- Advancing Practices for Eco-efficient and Circular Industrial Systems
- Designing, Engineering, and Managing Truly Human-Centred Industrial Systems for the Operator 4.0/5.0
- Smart Manufacturing Ontologies & Data Interoperability
- Human-centric lifecycle management of products and assets
- Smart Manufacturing for Circularity and Resilience: Models, Methods, and Industrial Evidence
- Novel AI/ML-enabled Approaches for Gamification in Engineering Education
- Servitization for Sustainable Manufacturing: Enablers, Constraints, Assessment Tools, and Business Model Configurations for Digitalized Systems
- Smart and Sustainable Supply Chain: Technology, Operations, Logistics, and Governance Implications
- Digital Transformation Approaches in Production and Management
- Emotional monitoring in operations and logistics to enhance workers’ well-being
- Jobs, Skills and Workforce Development for Sustainable, Resilient, and Human-Centric Industrial Systems
- Advancing Human-Centric Digital Lean Manufacturing Systems: Lean 5.0 Pathways
- Industrial Multi-Modal AI for Data-Driven operational Intelligence
- Human-Centric and Data-Driven AI: Redefining Operations and Supply Chains
- APMS Talks
- Human-Centric Production and Logistics Systems in the Industry 5.0 Era: Socio-Technical Design and Intelligent Operations
- Industrialisation of Digital Twins: Adoption, Governance, and Value Realisation
- Artificial Intelligence Adoption in Higher Education: Challenges, Opportunities, and Responsible Integration
- Interactive and Explainable AI for Production Planning and Scheduling
- Cyber-Physical System-Based Approaches to Achieve Sustainability
- The Digital Product Passport: Filling the gap for enhancing Transparency and Sustainability Across the Product Lifecycle
- New Forms of Human-Technology Interaction in Production and Logistics Systems for the Operator 4.0/5.0
- Sustainable Battery Value Chains: Production, Digitalization and Circular Integration
- Enhancing Value Chain Resilience through Digital Technologies
- Scaling Additive Repair and Remanufacturing for Resilient Circular Supply Chains
- Enhancing sustainable resilience in food manufacturing value chains through data-driven strategies, systems thinking, and transition approaches
- Agentic AI in Operations and Supply Chain Networks: From Tools to Orchestrators
- Trust in digital technologies for sustainable supply chain and logistics
- Bridging the Implementation Gap of Management Frameworks: From Theory to Industrial Practice
- AI, Institutions, and Organizational Transformation in Production Systems: Toward Human-Centric Industry 5.0
Detailed list of Confirmed Special Session
Transforming engineer-to-order projects, supply chains, and systems
Session Objectives and Scope
Engineer-To-Order (ETO) operations are common in mechanical industries, construction, shipbuilding, offshore, and other types of project-based industries where products are often one-of-a-kind and/or highly customized. In ETO, design, engineering, and configuration activities are included in the order fulfilment process, and engineering and configuration specifications of products are not known in detail upon receipt of customer orders. This special session welcomes contributions that address the transformation of ETO projects, supply chains and systems, based on the contemporary trends and future challenges of digitalization, Industry 4.0 technologies, circular
economy, sustainable and effective operations, business model transformation, resilient supply chains, etc.
Organizer(s)
Erlend Alfnes, Norwegian University of Science and Technology, Norway, erlend.alfnes@ntnu.no
Martin Rudberg, Linköping University, Sweden, martin.rudberg@liu.se
Violetta Giada Cannas, Carlo Cattaneo University LIUC, Italy, vcannas@liuc.it
Patrick Dallasega, Free University of Bozen-Bolzano, Italy, patrick.dallasega@unibz.it
Heidi Carin Dreyer, Norwegian University of Science and Technology, Norway heidi.c.dreyer@ntnu.no
Jonathan Gosling, Cardiff University, United Kingdom, goslingj@cardiff.ac.uk
Mohamed Naim, Cardiff University, United Kingdom naimmm@cardiff.ac.uk
Margherita Pero, Politecnico di Milano, Italy, margherita.pero@polimi.it
Ralph Riedel, Westsächsische Hochschule Zwickau, Germany ralph.riedel@whz.de
Monica Rossi, Politecnico di Milano, Italy, monica.rossi@polimi.it
Jo Wessel Strandhagen, Sintef Digital, jo.strandhagen@sintef.no
Joakim Wikner, Jönköping University, Sweden, joakim.wikner@ju.se
Novel Solutions for Lean-Green Production Systems
Session Objectives and Scope
This special session aims to explore novel approaches to integrate lean thinking with green performance management in manufacturing and supply chain. We invite theoretical and applied contributions presenting new concepts, frameworks, methods, and industrial applications demonstrating how lean practices can drive environmental sustainability. We welcome topics such as eco-efficiency, resource efficiency, circularity, digital tools enabling lean-green systems, and organizational transformations in line with the EU twin green-digital transition. Submissions should offer innovative insights into how lean can evolve to meet emerging challenges in production management given the current state of the world.
Organizer(s)
Federica Costa, Politecnico di Milano, Italy, federica.costa@polimi.it
Anne Zouggar, University of Bordeaux, France, anne.zouggar@u-bordeaux.fr
Mélanie Despeisse, Chalmers University of Technology, Sweden, melanie.despeisse@chalmers.se
Federica Acerbi, Politecnico di Milano, Italy, federica.acerbi@polimi.it
Daryl Powell, University of South-Eastern Norway, Norway; daryl.powell@usn.no
Torbjörn Netland, ETH Zürich, Swiss, tnetland@ethz.ch
Advancing Practices for Eco-efficient and Circular Industrial Systems
Session Objectives and Scope
This special session focuses on recent developments for cleaner and more responsible production. We invite theoretical and practical contributions exploring systematic solutions enabling the implementation of eco-efficiency and circular strategies (e.g., eliminate, reduce, reuse, repair, refurbish, remanufacturing, etc.) in a manufacturing context. For example, industrial services for resource efficiency, maintenance, and/or circular process development. We welcome new frameworks, analytical methods (e.g., AI and machine learning), digital platforms, and industrial applications that advance eco-efficiency and circularity in industrial systems.
Organizer(s)
Mélanie Despeisse, Chalmers University of Technology, Sweden, melanie.despeisse@chalmers.se
Federica Acerbi, Politecnico di Milano, Italy, federica.acerbi@polimi.it
Ebru Turanoglu Bekar, Chalmers University of Technology, Sweden, ebrut@chalmers.se
Designing, Engineering, and Managing Truly Human-Centred Industrial Systems for the Operator 4.0/5.0
Session Objectives and Scope
What makes an industrial system truly human-centred? Is human-centricity primarily a design philosophy, a technical requirement, or an ethical commitment? This session aims to define the boundaries between user-friendly systems, human-in-the-loop architectures, and genuinely human-centred systems, clarifying their conceptual and operational differences. The session will tackle human-centricity from a socio-technical perspective, discussing the interconnection between technology, organisational structures, and culture in the practice of designing, engineering, and managing human-centred systems. Particular attention is devoted to redefining system specifications to include human capabilities, needs, limits, values, and skills development, and to comparing validation approaches, from laboratory experiments to field pilots and long-term studies. The session aims to collect both theoretical and empirical contributions for promoting human-centricity of industrial systems for the Operator 4.0/5.0.
Organizer(s)
Chiara Cimini, University of Bergamo, Italy, chiara.cimini@unibg.it
Tamas Ruppert, University of Pannonia, Hungary, ruppert.tamas@mk.uni-pannon.hu
David Romero, Tecnológico de Monterrey, Mexico, david.romero.diaz@gmail.com
Johan Stahre, Chalmers University of Technology, Sweden, johan.stahre@chalmers.se
Smart Manufacturing Ontologies & Data Interoperability
Session Objectives and Scope
The IFIP WG5.7 Special Interest Group (SIG) on “Smart Manufacturing Ontologies & Data Interoperability” brings together academia and industry to advance formal ontologies, semantic AI, and data interoperability in digital manufacturing. The session targets methods, standards, and frameworks enabling semantic interoperability across cyber-physical production systems, digital twins, and supply networks throughout the entire manufacturing lifecycle. Focus areas include ontology engineering, alignment and validation; mappings between W3C standards (RDF/OWL/SHACL) and industrial IoT standards (ISA-95/88, IEC 62264, ISO 10303/STEP, OPC UA, MTConnect, SECS/GEM); and runtime reasoning over streams, knowledge graphs, and neuro-symbolic integration.
Organizer(s)
Selver, Softic, CAMPUS 02 University of Applied Sciences, Austria, selver.softic@campus02.at
Farhad Ameri, Arizona State University, USA, farhad.ameri@asu.edu
Boonserm Kulvatunyou, National Institute of Standards and Technology (NIST), boonserm.kulvatunyou@nist.gov
Human-centric lifecycle management of products and assets
Session Objectives and Scope
Given technological advancements in the area of product and asset lifecycle management (PALM), new ways of designing, operating, improving, and extending the useful life of products and assets can be envisioned. In parallel, the role of humans in PALM activities is being redefined, partly as a result of the expanded capabilities offered through Artificial Intellingence. Thereofore, PALM is receiving increased attention, aligned with the Industry 5.0 vision, which stresses human-centricity — emphasizing how technologies, processes, and organizations should be shaped around human needs and capabilities — from designers and engineers to operators and maintainers
This special session invites research on how human-centric approaches, together with digital (data-driven and AI-enabled) technologies and organizational governance, can measurably improve lifecycle performance and extend the useful life of products and assets. At the same time, the session broadens the attention to the nature of asset management itself – welcoming conceptual, empirical, and design-oriented studies on how asset management concepts, principles, and practices can be envisioned and advanced, then deployed, scaled, and adopted in industry. A central theme is product and asset life extension, including how technical solutions, human work systems, and organizational routines jointly shape lifeccyle decision-making. Promoted by the IFIP WG5.7 SIG on PALM (Product and Asset Life Cycle Management), this special session welcomes submissions that connect human-centric approaches with asset management theory and practice to lifecycle performance outcomes and product/asset life extension. Topics aligned with this agenda include, but are not limited to:
- Human-centric product and asset life cycle management
- Emerging and evolving skills & competences for PALM
- Decision – making, across the lifecycle, incl. end-of-Life
- Human-centered interfaces, interaction technologies, user experience, and ergonomics for design, operations, and management
- Emerging technologies and tools, including AI-supported PALM
- The role, value, and management of data and knowledge assets in PALM
- Virtual worlds and collaborative environments for multi-stakeholder coordination across the lifecycle
- New and enriched asset management principles across contexts and sectors
- Context-dependent asset management and organizational models
Organizer(s)
Adalberto Polenghi, Politecnico di Milano, adalberto.polenghi@polimi.it
Jon Bokrantz, Chalmers University of Technology, jon.bokrantz@chalmers.se
Irene Roda, Politecnico di Milano, irene.roda@polimi.it
Christos Emmanouilidis, University of Groningen, c.emmanouilidis@rug.nl
Smart Manufacturing for Circularity and Resilience: Models, Methods, and Industrial Evidence
Objectives and Scope
We invite Smart Manufacturing case studies that demonstrate profitability, resilience, and sustainability in recent examples from different industries. Topics include transition pathways from pilots to scaled circular value-creation, with a special focus on SMEs and regional networks. Contributions on digital innovations and data spaces, matching supply and demand for used components and secondary raw materials, with end-to-end traceability and quality grading (e.g. via Digital Product Passports or Blockchain Technology) are especially encouraged. Market-based coordination for platform governance, value sharing, and servitized circular models aligned with right-to-repair, critical raw materials strategies, and data sovereignty and privacy requirements, is favored over regulation.
Organizer(s)
Stefan Wiesner, BIBA – Bremer Institut für Produktion und Logistik GmbH at the University of Bremen, Germany, wie@biba.uni-bremen.de
Matthias Kalverkamp, Wiesbaden Business School, RheinMain University of Applied Sciences, Wiesbaden, Germany, Matthias.Kalverkamp@hs-rm.de
Thor Wuest, University of South Carolina, USA, TWUEST@sc.edu
Néstor Fabián Ayala, Organizational Engineering Center, Federal University of Rio Grande do Sul, Brazil, nestor.ayala@ufrgs.br
Novel AI/ML-enabled Approaches for Gamification in Engineering Education
Session Objectives and Scope
Experiential work, including simulations and games plays a vital role in engineering education. This ensures that the students have become acquainted with the right practical and scientific engineering. We call for papers and practical contributions on the following topics:
- Novel usage of AI/ML in experiential work for engineering education
- Applying new Generative AI Technologies and Tools for Serious Games
- “Classic” Gamification approaches, Games, Interactive Learning, and Simulations,
- Applications of VR, AR, and Mixed Reality for Gaming in Industrial Engineering,
- Digital vs. Physical/Haptic Games, Immersiveness (VR/AR),
- Communication in Single User vs. Multiple User learning/gaming environments,
- Learning Analytics and measuring the impact of experiential work and games.
Organizer(s)
Jannicke Baalsrud Hauge, KTH Royal Institute of Technology, Sweden; jmbh@kth.se
Nick Szirbik, University of Groningen, The Netherlands, n.b.szirbik@rug.nl
Tomomi Nonaka, Waseda University, Japan, nonaka@waseda.jp
Servitization for Sustainable Manufacturing: Enablers, Constraints, Assessment Tools, and Business Model Configurations for Digitalized Systems
Session Objectives and Scope
Product-Service Systems (PSS) and smart/digital PSS—enabled by digital servitization—are widely recognized as important mechanisms for enabling sustainable manufacturing in digitalized systems. At the same time, digital servitization introduces significant constraints. Increased system complexity, capital intensity, long-term contractual commitments, and interdependencies among multiple actors can limit sustainability potential. The integration of servitization and circular strategies may generate unintended consequences, including rebound effects, misaligned incentives, and shifts in financial and operational risk. Structural and financial barriers may restrict investment in durability, modularity, upgradeability, and asset recovery, therefore limiting sustainability potential.
Addressing these challenges requires robust methods and high-quality data to evaluate lifecycle environmental impacts, economic performance, and risk exposure (e.g., TCO/TVO). It also calls for strong stakeholder collaboration, appropriate ownership and control structures, effective governance arrangements, sound asset management practices, and supportive regulatory conditions to ensure a balanced distribution of value, costs, and risks.
This session seeks analytically rigorous and empirically grounded contributions that advance understanding of how smart/digital PSS enable or constrain sustainable manufacturing across the asset lifecycle, and how assessment tools and business model configurations jointly shape environmental performance, economic viability, and risk distribution.
Organizer(s)
Claudio Sassanelli, Politecnico di Bari, claudio.sassanelli@poliba.it
Ferrante Mariantonietta, Politecnico di Bari, m.ferrante6@phd.poliba.it
Micaela Vitti, Politecnico di Bari, micaela.vitti@poliba.it
Veronica Arioli, University of Bergamo, veronica.arioli@unibg.it
Roberto Sala, University of Bergamo, roberto.sala@unibg.it
Ugljesa Marjanovic, University of Novi Sad, umarjano@uns.ac.rs
Shaun West, Lucerne University of Applied Sciences and Arts, shaun.west@hslu.ch
Stefan Wiesner, BIBA – Bremer Institut für Produktion und Logistik GmbH, wie@biba.uni-bremen.de
Smart and Sustainable Supply Chain: Technology, Operations, Logistics, and Governance Implications
Session Objectives and Scope
This special session aims to explore the evolving environment and recent advancements in supply chains. Areas of interest include sustainability governance and institutional dimensions; mechanism design and coordination frameworks; digital technologies and operational innovation; technological and digital enablers; operational and organizational implications; governance, policy, and system-level perspectives; logistics and transport management; collaborative supply chain planning; logistics operations and distribution processes; minimizing of environmental impacts; digital and smart technologies; new planning systems; warehousing and delivery solutions; and the application of artificial intelligence. The session welcomes contributions from both researchers and practitioners, inviting diverse perspectives. Submissions may include reviews, case studies, original research, and mathematical and economic or operational models.
Organizer(s)
João Gilberto Mendes dos Reis, University of Campinas (UNICAMP), Brazil, jgreis@unicamp.br
Hajime Mizuyama, Aoyama Gakuin University, Japan, mizuyama@ise.aoyama.ac.jp
Alexandra Lagorio, University of Bergamo, Italy, alexandra.lagorio@unibg.it
Eduardo Oliveira, INEGI, University of Porto, Portugal, eoliveira@inegi.up.pt
Maria Teresa Ribeiro Pereira, INEGI, University of Porto, Portugal, tpereira@inegi.up.pt
Digital Transformation Approaches in Production and Management
Session Objectives and Scope
Digital Transformation, Industry 4.0, Industry 5.0 and Big Data disrupted every (production) management domain. leading to a change in existing paradigms. It is no longer just the production of physical goods that contributes to value creation, but data and customer integration. This special session aims to attract theoretical, practice-oriented papers and case studies trying to answer the questions of: What is the reality of digital transformation in today’s (manufacturing) enterprises? What approaches, models, methods, technologies, do we have? What are the challenges that (manufacturing) enterprises face when digitally transforming their value propositions and processes?
Organizer(s)
Selver, Softic, IT & Business Informatics, CAMPUS 02 University of Applied Sciences, Austria, selver.softic@campus02.at
Egon Lüftenegger, Digital Economy, Salzburg University of Applied Sciences, Austria, egon.lueftenegger@fh-salzburg.ac.at
Ugljesa Marjanovic, Faculty of Technical Sciences, University of Novi Sad, Serbia, umarjano@uns.ac.rs
Bahrudin Hrnjica, Faculty of Technical Engineering, University of Bihac. Bosnia & Herzegovina, bahrudin.hrnjica@unbi.ba
Ioan Turcin, Automation Technologies, CAMPUS 02 University of Applied Science, Austria, ioan.turcin@campus02.at
Vlad Bocanet, Faculty of Machine Building, Technical University Cluj-Napoca, Romania, vlad.bocanet@tcm.utcluj.ro
Emotional monitoring in operations and logistics to enhance workers’ well-being
Session Objectives and Scope
Operations and logistics systems are traditionally designed under the assumption of stable human performance. However, evidence from neuropsychology, human–machine interaction, emotional design, and operations research shows that emotional states—such as stress, fatigue, anxiety, engagement, and trust—significantly affect workers’ health, safety, and productivity. Emotional well-being is a core dimension of holistic ergonomics, alongside physical, cognitive, social, and organizational aspects. In line with the Industry 5.0 human-centricity pillar, monitoring stress, mental workload, and fatigue in industrial and logistics contexts can support healthier workplaces and improve motivation, quality of life, and operational performance. Despite this relevance, objective emotional monitoring remains underused: most studies rely on self-assessment, while psychophysiological and behavioral sensing is still limited. This special session aims to bring together interdisciplinary contributions integrating emotional monitoring into manufacturing and logistics,bridging theory, analytics, and practice. We invite contributions including, but not limited to:
- Stress, fatigue, and workload detection approaches in manufacturing and logistics
- Industrial case studies and applied research on emotionally informed operations
- Reviews of psychophysiological and behavioral monitoring in operations management
- Studies on safety, reliability, and workers’ well-being
- Ethical, organizational, and privacy issues in emotional monitoring
- Critical analyses of digital technologies from a human-centric perspective
Organizer(s)
Andrea Ferrari, Politecnico di Torino, Torino, Italy, andrea.ferrari@polito.it
Giulio Mangano, Politecnico di Torino, Torino, Italy, giulio.mangano@polito.it
Federica Marcolin, Politecnico di Torino, Torino, Italy, federica.marcolin@polito.it
Elena Carlotta Olivetti, Politecnico di Torino, Torino, Italy, elena.olivetti@polito.it
Giovanni Zenezini, Politecnico di Torino, Torino, Italy, giovanni.zenezini@polito.it
Enrico Vezzetti, Politecnico di Torino, Torino, Italy, enrico.vezzetti@polito.it
Jobs, Skills and Workforce Development for Sustainable, Resilient, and Human-Centric Industrial Systems
Session Objectives and Scope
This session welcomes theoretical, empirical, and methodological contributions proposing innovative frameworks, models, methods, and tools that address the evolution of jobs, skills, and education/training for manufacturing and logistics professionals, aiming to support sustainable, resilient, and human-centric industrial systems. Particular emphasis is placed on inclusivity, adaptability, and long-term workforce sustainability, including workers’ well-being and work ability. Topics include (but are not limited to) Operator 5.0 and Engineer 5.0 skills, redesign of job roles and responsibilities in Industry 5.0 contexts, workforce transition strategies towards Industry 5.0, lifelong learning and upskilling/reskilling approaches supported by advanced technologies, such as learning and teaching factories, generative AI and human–AI collaboration for education and training, serious games, AR/VR-based training and education solutions, etc.
Organizer(s)
Marta Pinzone, Politecnico di Milano, marta.pinzone@polimi.it
Chiara Cimini, University of Bergamo, chiara.cimini@unibg.it
Alexandra Lagorio, University of Bergamo, alexandra.lagorio@unibg.it
Bartlomiej Gladysz, Warsaw University of Technology, bartlomiej.gladysz@pw.edu.pl
Krzysztof Ejsmont, Warsaw University of Technology, krzysztof.ejsmont@pw.edu.pl
Johan Stahre, Chalmers University of Technology, johan.stahre@chalmers.se
Greta Braun, Chalmers University of Technology, greta.braun@chalmers.se
Vitalina Babenko, Kharkiv National University of Radio Electronics, vitalina.babenko@nure.ua
Advancing Human-Centric Digital Lean Manufacturing Systems: Lean 5.0 Pathways
Session Objectives and Scope
This special session aims to explore the emerging paradigm of “Lean 5.0”, which represents a humancentric evolution of the Digital-Lean integration trend in modern manufacturing systems, highlighting the Lean principle of “respect for people” and leveraging it by empowering the workforce with the use of digital assisting, collaborative, and augmented technologies for continuously improved production processes. Furthermore, the Lean 5.0 paradigm promotes the design, engineering, and management of “resilient” and “sustainable” production processes that are more “human-focused” and “balanced”, combining human expertise and dexterity with machine intelligence and capability, for improving both system productivity and workforce well-being. The call for papers focuses on welcoming conceptual and empirical contributions that investigate innovative human-centric approaches that envision the future of manufacturing systems as “Human-Centric Digital Lean Manufacturing Systems”.
Organizer(s)
Romeo Bandinelli, University of Florence, Italy, romeo.bandinelli@unifi.it
Paolo Gaiardelli, University of Bergamo, Italy, paolo.gaiardelli@unibg.it
David Romero, Tecnológico de Monterrey, Mexico, david.romero.diaz@gmail.com
Ilaria Bucci, University of Florence, Italy, ilaria.bucci@unifi.it
Monica Rossi, Politecnico di Milano, Italy, monica.rossi@polimi.it
Matteo Zanchi, University of Bergamo, Italy, matteo.zanchi@unibg.it
Anne Zouggar, University de Bordeaux, France, anne.zouggar@u-bordeaux.fr
Virginia Fani, Universitas Mercatorum, Italy, virginia.fani@unifi.it
Industrial Multi-Modal AI for Data-Driven operational Intelligence
Session Objectives and Scope
Multi-Modal AI is rapidly becoming a key technology for intelligent production management, because real shop-floor problems cannot be solved with a single data source and single type of data. By combining complementary signals, the multi-modal approach provides the core perception layer in production systems. This special session aims to collect and discuss real industrial application cases together with transferable methods and deployment lessons. This includes, but not limited to:
– Cross-modal data registration & alignment for reliable multi-source industrial AI
– Modality-specific pretraining methods for industrial vision, signals, and process data
– Domain-specific fusion strategies for anomaly detection and process understanding
– Multi-modal XAI for operator trust: cross-modal attribution, rationale consistency and human-in-the-loop validation workflows.
– Multi-modal XAI for trustworthy diagnosis and operator decision support
– Integration of prior knowledge with neuro-AI
– Neurosymbolic AI for industrial applications
– MLOps for multimodal systems
– Multi-modal verification and uncertainty qualification
– Multi-model agentic AI
Organizer(s)
Hyunbo Cho, Pohang University of Science and Technology, hcho@postech.ac.kr
Boonserm Kulvatunyou, NIST, boonserm.kulvatunyou@nist.gov
Milos Drobnjakovic, DrobOntics, milos.drobnjakovic@drobontics.org
Arkopaul Sarkar, Georgetown University, arkopaul@gmail.com
Ana Nikolov, DrobOntics, ana.nikolov@drobontics.org
Daegun Hong, Pohang University of Science and Technology, dghong@postech.ac.kr
Thor Wuest, University of South Carolina, twuest@sc.edu
Human-Centric and Data-Driven AI: Redefining Operations and Supply Chains
Session Objectives and Scope
To mitigate the risks of human error, modern industrial environments are increasingly turning to Artificial Intelligence. This session examines how AI and data-driven solutions transform operations and supply chains, specifically focusing on the synergy between human talent and technological advancement. By exploring this intersection, we aim to enhance the efficiency, resilience, and sustainability of global industrial networks. The session includes, but it is not limited to:
- Human-AI collaboration and interaction
- Strategic Big Data for improving decision-making
- Impact of human-machine and human-robot collaboration on productivity and safety
- Successful case studies and experiments
- Human-machine bi-directional control
- Sustainable operations and warehousing
Organizer(s)
Leonardo Leoni, Università eCampus, leonardo.leoni@uniecampus.it
Alessandra Cantini, Politecnico di Milano, alessandra.cantini@polimi.it
Filippo De Carlo, Università degli Studi di Firenze, filippo.decarlo@unifi.it
Annalisa Santolamazza, Tor Vergata Università di Roma, annalisa.santolamazza@uniroma2.it
Francesco Mancusi, Università degli Studi della Basilicata, francesco.mancusi@unibas.it
Simone Arena, Università degli Studi di Cagliari, simone.arena@unica.it
Marta Pinzone, Politecnico di Milano, marta.pinzone@polimi.it
Mario Tucci, Università degli Studi di Firenze, mario.tucci@unifi.it
APMS Talks
Session Objectives and Scope
This session offers a platform for researchers to present and discuss their work on Production Management Systems. As the name suggests, the presentations are usually less formal than traditional scientific presentations, with a focus on discussion and exchange of ideas. A discussant moderates and inspires the discussion. While many presenters are recruited from the rich body of the IFIP Working Group 5.7, anyone is welcome to participate in the APMS talks and contribute to the discussion
Organizer(s)
Gregor von Cieminski, ZF Friedrichshafen AG, Germany, gregor.voncieminski@zf.com
Hermann Lödding, Hamburg University of Technology, Germany, loedding@tuhh.de
Erlend Alfnes, Norwegian University of Science and Technology, Norway, erlend.alfnes@ntnu.no
Human-Centric Production and Logistics Systems in the Industry 5.0 Era: Socio-Technical Design and Intelligent Operations
Session Objectives and Scope
This special session aims to advance research on socio-technical production and logistics systems in the Industry 5.0 era. It focuses on human–AI collaboration, sustainable and resilient operational design, and performance measurement in hybrid human–digital environments. It addresses integrated production–logistics ecosystems where intelligent technologies and human operators interact to enhance operational effectiveness and workforce empowerment. The session welcomes conceptual and empirical contributions, including systematic literature reviews, modelling and simulation studies, case analyses, and experimental research. Papers should address system design and governance, adaptive automation, circular operations, and validation approaches, including experimental and learning-oriented environments supporting Industry 5.0 implementation.
Organizer(s)
Anna Corinna Cagliano, Politecnico di Torino, Torino, Italy, anna.cagliano@polito.it
Eleonora Bottani, University of Parma, Parma, Italy, eleonora.bottani@unipr.it
Antonella Meneghetti, University of Udine, Italy, antonella.meneghetti@uniud.it
Sara Perotti, Politecnico di Milano, Italy, sara.perotti@polimi.it
Margaretha Gansterer, University of Klagenfurt, Austria, margaretha.gansterer@aau.at
Industrialisation of Digital Twins: Adoption, Governance, and Value Realisation
Session Objectives and Scope
Digital Twins are increasingly recognised as revolutionary decision-support systems in manufacturing, applied to areas such as design optimization, production planning and control, and maintenance management. However, despite their strategic relevance and proven potential, industrial adoption remains gradual, influenced by a partial availability of implementation guidelines, standardized frameworks, and scalable deployment strategies. In this context, this special session aims to feature research that advances the industrialisation and scaling of Digital Twin initiatives for production system management, with a focus on their successful adoption, governance, and value realisation.
Topics of interest include, but are not limited to:
- Business case development and cost–benefit assessment of Digital Twin initiatives
- Organisational alignment for effective adoption
- Lifecycle management and performance measurement of Digital Twins
- Governance models and value-driven architectures supporting scalable implementation
- Modelling approaches and technical architectures to deploy robust and scalable Digital Twins
- Human involvement, interaction, and collaboration in Digital Twin environments
- Strategies for transitioning from pilot projects to enterprise-wide deployment
Organizer(s)
Dr. Christian Kober, ETH Zurich, christian.kober@mtec.ethz.ch*
Prof. Dr. Torbjørn Netland, ETH Zurich, tnetland@ethz.ch
Prof. Dr. Elisa Negri, Politecnico di Milano, elisa.negri@polimi.it
Prof. Dr. Adalberto Polenghi, Politecnico di Milano, adalberto.polenghi@polimi.it
Eng. Edoardo Palmitessa, Politecnico di Milano, edoardo.palmitessa@polimi.it
Artificial Intelligence Adoption in Higher Education: Challenges, Opportunities, and Responsible Integration
Session Objectives and Scope
From material adaptation to exercise generation and support in re-explaining or deepening concepts addressed during lectures, Artificial Intelligence (AI), and particularly Generative AI (GenAI), is reshaping teaching and learning practices in higher education. AI opens new possibilities for enhancing student engagement, personalization, and learning effectiveness, especially in technically oriented disciplines such as engineering.
Researchers and educators are exploring how AI, in all its forms, can be effectively integrated into content delivery, assessment, and learning design. Structured frameworks and clear guidelines are therefore needed to support its implementation. As AI adoption expands, pedagogical, ethical, and governance-related implications must also be critically examined, including issues of integrity, transparency, and responsible use.
This special session welcomes theoretical and practical contributions discussing the outcomes of AI adoption in higher education, as well as models for acceptable use and responsible integration. Submissions are encouraged to describe the ways AI has been implemented, including methodological choices, contextual factors, challenges encountered, and lessons learned from practice.
Topics of interest include:
- Generative AI for teaching and assessment
- Multimodal AI and personalized learning
- Human–AI collaboration in course design
- Ethical, privacy, and integrity issues
- Frameworks and guidelines for responsible AI integration
- Evaluation of learning outcomes in AI-enhanced environments
Organizer(s)
Roberto Sala, University of Bergamo, roberto.sala@unibg.it
Antonio Maffei, KTH Royal Institute of Technology, maffei@kth.se
Paweł Litwin, Rzeszów University of Technology, plitwin@prz.edu.pl
Sandi Ljubic, University of Rijeka, sandi.ljubic@riteh.uniri.hr
Dario Antonelli, Polytechnic University of Turin, dario.antonelli@polito.it
Joseph Paul Zammit, University of Malta, joseph.zammit@um.edu.mt
Primož Podržaj, University of Ljubljana, primoz.podrzaj@fs.uni-lj.si
Giuditta Pezzotta, University of Bergamo, giuditta.pezzotta@unibg.it
Fabiana Pirola, University of Bergamo, fabiana.pirola@unibg.it
Interactive and Explainable AI for Production Planning and Scheduling
Session Objectives and Scope
This special session focuses on interactive and explainable AI approaches for production planning and scheduling, combining large language models (LLMs), simulation/digital twins, and learning-based optimisation. The session targets planner-in-the-loop decision support, where AI systems adapt to operational constraints, expert preferences, and real-world uncertainty. Topics include LLM-assisted schedule generation, preference-aligned and reinforcement learning-based scheduling policies, integration with simulation models and cyber-physical production systems, and validation through industrial cases such as engineer-to-order manufacturing, production logistics, and complex project-based industries (e.g., shipyards). We welcome methodological, empirical, and industrial contributions that enhance transparency, trust, and decision quality.
Organizer(s)
Jong Hun Woo, Seoul National University (SNU), Republic of Korea, j.woo@snu.ac.kr
Yongkuk Jeong, KTH Royal Institute of Technology, Sweden, yongkuk@kth.se
Cyber-Physical System-Based Approaches to Achieve Sustainability
Session Objectives and Scope
This special session explores the latest research, innovative approaches, case studies, and technological advancements using Cyber-Physical Systems (CPS) to achieve sustainability in industrial processes, environmental management, and smart infrastructures. Covered topics are (but not limited to):
– Architectures of CPS for Sustainability
– Sustainability in Cyber-Physical Production Systems
– Sustainable Smart Cities with collaborative CPSs
– CPS for Circular Economy: Efficient Recycling and Resource Recovery
– Real-Time Monitoring of Production Waste Using CPS
– CPS-Based Decision-Making for Sustainable Supply Chain Management
– Resiliency and Sustainable Infrastructure: Predictive Maintenance
– Social, Ethical, and Policy Dimensions of CPS in Sustainability
Organizer(s)
Wassim Bouazza, Nantes University, France, Wassim.Bouazza@univ-nantes.fr
Sondes Chaabane, University Polytechnic Hauts-De-France, France, Sondes.Chaabane@uphf.fr
Olivier Cardin, Nantes University, France, olivier.cardin@univ-nantes.fr
Catherine da Cunha, Ecole Centrale de Nantes, France, catherine.da-cunha@ec-nantes.fr
Yasamin Eslami, Ecole centrale de Nantes, France, yasamin.eslami@ec-nantes.fr
Maroua Nouiri, Nantes University, France, maroua.nouiri@univ-nantes.fr
The Digital Product Passport: Filling the gap for enhancing Transparency and Sustainability Across the Product Lifecycle
Session Objectives and Scope
In recent years, the transition to a circular economy has highlighted the need to rethink product life cycles, promoting reuse, repair, and recycling to maximize resource efficiency and minimize waste. In this context, the Digital Product Passport (DPP), introduced by the Ecodesign Regulation (EU) 2024/1781, emerges as a strategic tool to collect and share product data throughout the entire life cycle with different stakeholders, promoting transparency in the value chain and the transition towards circular economy. Beyond regulatory compliance, the DPP can enable value creation in manufacturing business, such as advanced after-sales services and innovative business models. However, its effective
implementation requires more than technical architecture. Simulation tools, AI-supported Life Cycle Assessment, semantic technologies and ontologies can play a key role in structuring, interpreting, and exploiting DPP data, enabling interoperability and value creation across sectors. This special session aims to collect methodological, theoretical, and applied contributions proposing frameworks, procedures, models, and case studies that leverage DPP data to support decision-making, sustainability assessment, circular strategies, and service-oriented business models across different industrial sectors.
Organizer(s)
Fabiana Pirola, University of Bergamo, fabiana.pirola@unibg.it
Luca Carminati, University of Bergamo, luca.carminati@unibg.it
Ana Teresa Correia, ATB Bremen, correia@atb-bremen.de
Marta Calderaro, Engineering Ingegneria Informatica, marta.calderaro@eng.it
Jorge Ortigosa Rodriguez, Tecnalia, jorge.ortigosa@tecnalia.com
New Forms of Human-Technology Interaction in Production and Logistics Systems for the Operator 4.0/5.0
Session Objectives and Scope
This special session aims to advance understanding of how Human-Technology Interactions (HTI) can be designed to support human-cyber-physical production and logistics systems. The session explores how advanced technologies, such as augmented reality, collaborative robots, wearable sensors, and AI-based assistant systems, can be effectively designed and implemented to augment, collaborate with, or assist human capabilities rather than replace them. Key topics of this special session include, but are not limited to: (i) Design principles and frameworks for effective HTI, (ii) Adaptive systems tailored to individual operator needs, capabilities, and well-being, and (iii) Organizational and workforce-level effects of these human-centric technologies.
Organizer(s)
Jannick Fiedler, ETH Zurich, Switzerland, jfiedler@ethz.ch
Huizhong Cao, Chalmers University of Technology, Sweden, huizhong@chalmers.se
Serena Finco, University of Padua, Italy, serena.finco@unipd.it
Fabio Sgarbossa, Norwegian University of Science and Technology (NTNU), Norway, fabio.sgarbossa@ntnu.no
David Romero, Tecnológico de Monterrey University, Mexico, david.romero.diaz@gmail.com
Sustainable Battery Value Chains: Production, Digitalization and Circular Integration
Session Objectives and Scope
Battery technologies are central to electrification and a fossil-free society. To reduce environmental impact, circular principles and digital support must be integrated across the full lifecycle, from cell production and pack assembly to remanufacturing, second-life applications, and recycling. This session examines how production management systems, digital technologies, and circular strategies enable sustainable battery value chains. Topics include production system design, pilot production, industrialization and ramp-up, circular value retention, lifecycle data management, and traceability for regulatory compliance and material tracking. Additional themes address circular business models, digital twins, AI, IoT, and practical challenges in scaling and industrial implementation.
Organizer(s)
Koteshwar Chirumalla, Mälardalen University, Sweden, Koteshwar.chirumalla@mdu.se
Mélanie Despeisse, Chalmers University of Technology, melanie.despeisse@chalmers.se
Martin Kurdve, RISE Research Institutes of Sweden, martin.kurdve@ri.se
Enhancing Value Chain Resilience through Digital Technologies
Session Objectives and Scope
In today’s interconnected world, value chains have become increasingly global, but also more vulnerable to disruptions from geopolitical tensions, climate risks, and market volatility, threatening supply continuity. In this context, digital technologies and emerging paradigms such as Manufacturing-as-a-Service (MaaS) can enhance value chains’ resilience, offering agility, flexibility, and scalability. This special session examines the role of digitalisation for value chain resilience, focusing on, but not limited to:
- Value chain resilience frameworks and metrics,
- Value chain resilience and sustainability,
- Decentralised and digital manufacturing,
- Tools and frameworks for MaaS,
- Gamification and tools for resilience-related and digital skills development.
Organizer(s)
Margherita Pero, Politecnico di Milano, margherita.pero@polimi.it
Franco Chiriacò, Politecnico di Milano, franco.chiriaco@polimi.it
Thomas Ditlev Brunø tdp@mp.aau.dk
Ann-Louise Andersen ala@mp.aau.dk
Catherine da Cunha catherine.da-cunha@ec-nantes.fr
Scaling Additive Repair and Remanufacturing for Resilient Circular Supply Chains
Session Objectives and Scope
This session focuses on scaling additive manufacturing (AM) for repair and remanufacturing from pilots to reliable industrial operations and supply networks. We invite research on planning, scheduling, and control of repair/reman flows; spare-parts and service network design; capacity planning and orchestration of distributed AM; digital twins and data-driven decision support; qualification, traceability, and certification at scale; and resilience under disruptions and uncertain returns/demand. Contributions should connect AM repair/reman process realities (quality, lead times, variability) with production and supply-chain management methods and industrial evidence.
Organizer(s)
Mehrdad Mohammadi, Eindhoven University of Technology, m.mohammadi1@tue.nl
Enhancing sustainable resilience in food manufacturing value chains through data-driven strategies, systems thinking, and transition approaches
Session Objectives and Scope
In today’s rapidly evolving industrial landscape, food manufacturing value chains face unprecedented challenges driven by geopolitical, economic, social, and environmental forces. Building sustainable resilience in this complex environment requires systems transitions approaches capable of capturing the interdependencies that characterise food production networks, whilst enabling manufacturers to generate value sustainably for all stakeholders. At the same time, if instantiated well, data-driven approaches and digital platforms can drive sustainability transitions by improving transparency, establishing decision-grade resilience outcomes and metrics, and increasing adaptive capacity across value chain actors, transforming operational data into actions to support sustainable operating models. This special session addresses the intersection of sustainability, digitalisation, technological innovations, and systems-based resilience to strengthen food manufacturing competitiveness against disruption, resource scarcity, social issues and environmental pressures.
Organizer(s)
Dr Melissa Marques-McEwan, Edinburgh Business School, Heriot-Watt University M.Marques-McEwan@hw.ac.uk
Dr Shujaat Mubarik, Edinburgh Business School, Heriot-Watt University, M.Mubarik@hw.ac.uk
Dr Nilakshi Galahitiyawe, Edinburgh Business School, Heriot-Watt University, N.Galahitiyawe@hw.ac.uk
Prof Aseem Kinra, Global Research Institute for NetZero and Beyond, Heriot-Watt University A.Kinra@hw.ac.uk
Agentic AI in Operations and Supply Chain Networks: From Tools to Orchestrators
Session Objectives and Scope
Agentic AI systems, capable of continuous monitoring, multi-step reasoning, and autonomous action, have the potential to evolve from passive tools into active participants in operations and supply chain networks; they may interpret situations, prioritize information, initiate decision processes, and coordinate across organizational boundaries in ways previously reserved for human actors.
Yet as these systems move beyond proof-of-concept, they raise questions about coordination, human roles, accountability, and governance that extend well beyond algorithmic performance or architectural design. This track invites contributions exploring what this shift means for how supply chains are managed and governed, including practitioner experiences and studies identifying enablers and barriers to adoption. We welcome conceptual, empirical, simulation-based, and design-oriented work on the following topics (non-exhaustive list):
- Where and how can agentic AI meaningfully intervene in operations and SCM processes, and what tasks are technically tractable today?
- How does the introduction of agentic systems change human roles, expertise, and decision-making in supply chain organizations?
- How can agentic AI enable horizontal coordination across supply chain functions that have historically operated in silos?
- How should organizations govern agentic systems, and what frameworks are needed to assess readiness, risk, and appropriate levels of autonomy?
- What new risks does autonomy itself introduce, including cascading failures, opacity, over-reliance, and the erosion of human expertise?
- How to integrate agentic AI capabilities (i.e. pattern recognition and real-time data processing) with established theories and methods for operations planning and logistics?
- How to measure and benchmark the effectiveness, transparency and auditability of agentic systems?
Organizer(s)
Giovanni Zenezini, Politecnico di Torino, Torino, Italy, giovanni.zenezini@polito.it
Erlend Alfnes, Norwegian University of Science and Technology, Norway, erlend.alfnes@ntnu.no
Romeo Bandinelli, University of Florence, Italy, romeo.bandinelli@unifi.it
Roberto Pinto, University of Bergamo, Italy, Roberto.pinto@unibg.it
Trust in digital technologies for sustainable supply chain and logistics
Session Objectives and Scope
Supply chain and logistics are utilizing digital /Industry 4.0 technologies for enhanced traceability, transparency, and resilience for enhanced performance. This session will focus on how digital technologies, such as IoT, AI, blockchain, and digital twins builds trust through secure, reliable, and transparent information sharing. The session will have a strong emphasis on linking trust in digital technologies for sustainability, performance, carbon monitoring, ethical sourcing, and resilient operations. The session invites conceptual, empirical, and modeling-based contributions that address governance challenges, cybersecurity risks, and trust evaluation frameworks mediating dialogue between academia and industry to develop sustainable data-driven ecosystems
Organizer(s)
Rajeev Agrawal,, Malaviya National Institute of Technology, Jaipur, ragrawal.mech@mnit.ac.in
Vikas Kumar, University of Portsmouth, United Kingdom, vikas.kumar@port.ac.uk
Guilherme F. Frederico, Federal University of Parana, Brazil, guilherme.frederico@ufpr.br
Nagesh Shukla, Griffith University, Australia, n.shukla@griffith.edu.au
Bridging the Implementation Gap of Management Frameworks: From Theory to Industrial Practice
Session Objectives and Scope
This special session aims to advance research and practice on modern management frameworks for dynamic industrial systems. It welcomes contributions that (re)design project and operations management approaches that are digital-ready, resilient, and sustainability-oriented, while remaining lean, usable, and methodologically rigorous. The scope includes simplifying complex frameworks, revisiting outdated assumptions, and improving adoption through actionable methods, decision support, and implementation pathways. Domains of applications may span from manufacturing to services, and to hybrid production networks. Research topics for the special session might include, but are not limited to, the following areas:
- Benchmarking and validation of simplified frameworks in project and operations management
- Decision-support methods to embed resilience, circularity, and ESG metrics into operations and project governance without increasing organizational complexity.
- Empirical studies and action research on barriers, behavioral factors, and change mechanisms enabling effective deployment of modern management frameworks.
- Implementation pathways, capability development, and organizational learning in PM/OM
- Methods to streamline existing PM/OM standards (e.g., hybrid agile–stage-gate, SCOR) into implementable approaches with measurable impact.
- Redesign of project and operations management models integrating digital technologies (e.g., AI, IoT, Digital Twins) while preserving simplicity and usability.
- Surveys and comparative analysis on the state of application of novel management framework in project and operations management.
Organizer(s)
- Francesco Moroni, Università di Parma, francesco.moroni@unipr.it
- Filippo Maria Ottaviani, Politecnico di Torino, filippo.ottaviani@polito.it
- Giovanni Romagnoli, Università di Parma, giovanni.romagnoli@unipr.it
- Francesco Zammori, Università di Parma, francesco.zammori@unipr.it
- Giovanni Zenezini, Politecnico di Torino, giovanni.zenezini@polito.it
AI, Institutions, and Organizational Transformation in Production Systems: Toward Human-Centric Industry 5.0
Session Objectives and Scope
Artificial intelligence is transforming product, production, and operations systems, yet its organizational and institutional implications for operational performance remain insufficiently understood. This special session examines how AI reshapes decision-making, production planning and control, product–service systems, professional roles, and inter-organizational coordination across manufacturing and supply networks. It focuses on institutional pressures, governance mechanisms, and strategic responses that enable or constrain the adoption and effective integration of AI and data-driven technologies in production and operations management. Topics include AI-enabled production systems, product lifecycle integration, human–AI collaboration, data governance, cross-national differences, and operational transformation toward human-centric and sustainable Industry 5.0 systems. Empirical, conceptual, and design-oriented contributions are welcome
Organizer(s)
Prince Chacko Johnson, Mälardalen University, Sweden, prince.chacko.johnson@mdu.se