The IEEE TEMSCON Global 2026 technical program includes the following invited sessions.
If interested in submitting a paper to an invited session, contact the organizers directly. They will provide you with a session code that must be included in your submission. Paper submission is due by March 15, 2026. Author instructions can be located here.
Data-Driven Digital Transformation for Next-Generation Supply Chains
This session focuses on the role of data-driven digital technologies in operations and supply chain management. It invites contributions that showcase innovative solutions and forward-looking organizational strategies for creating more efficient and connected supply chain networks. Contributions may address real-time decision-making, optimization modeling, and AI-based predictive analytics aimed at enhancing supply chain performance. Studies that explore sustainability, resilience, and the management of uncertainty in modern supply chains are also encouraged.
Modern Automation in Food Distribution Centers: Enhancing Freshness, Shelf Life, and Operational Performance
Food supply chains are essential for ensuring product freshness, safety, and timely delivery. Regulations such as the U.S. Food Safety Modernization Act are driving higher expectations for real-time visibility and traceability, requiring organizations to rethink how technology supports daily warehouse operations. This session explores how modern automation improves operational efficiency, extends shelf life, and reduces waste in food distribution environments, while also providing the digital foundation for inventory accuracy, product traceability, and First Expiring, First Out execution to control product rotation, minimize spoilage, and support regulatory compliance. The discussion also covers Automated Storage and Retrieval Systems for high-density, temperature-controlled storage; mobile robotics that enable faster material movement, higher labor productivity, and safer operations; and IoT sensors that enhance cold-chain monitoring, recall readiness, and data-driven decision-making.
Attendees will gain a practical understanding of how thoughtfully applied automation technologies can improve performance, resilience, and regulatory compliance in Food Supply Chain, including but not limited to Distribution Centers. The session also invites researchers and practitioners to share case studies, applied research, and real-world implementations that demonstrate measurable operational and business value.
Advancing Technology Roadmapping Through AI, Data Analytics, Scenario-Based and Sustainable TRM Implementation
In today’s rapidly evolving global environment, organisations across industries are increasingly required to innovate in ways that are systematic, data-driven, sustainable, and resilient. Technology roadmapping allows organisations to articulate clear technological development pathways, integrate diverse sources of strategic intelligence, and respond proactively to uncertainty. In this context, advanced roadmapping practices—supported by artificial intelligence (AI), data analytics, and scenario analysis—play a critical role in interpreting global trends such as the circular economy, globalisation, and AI-driven digital transformation, thereby enhancing strategic foresight, competitive advantage, and societal impact.
Recent advances in artificial intelligence (AI), data analytics, and scenario analysis are transforming how roadmaps are developed, analysed, disseminated, and used in decision-making. These capabilities enable richer foresight, dynamic exploration of alternative futures, enhanced stakeholder engagement, and more resilient innovation strategies across organisational and societal contexts.
This call for papers invites scholars and practitioners to contribute original research and applied insights that advance the theory, methodology, and practice of technology roadmapping. We welcome interdisciplinary perspectives that explore how AI-enabled analytics, data-driven intelligence, and scenario-based approaches can strengthen innovation management systems and support sustainable, long-term value creation.
Topics of interest include, but are not limited to:
AI-enabled methods for technology roadmapping and foresight
Data analytics and big data applications in roadmap development and implementation
Scenario analysis and futures thinking for managing uncertainty and risk
Sustainable TRM Implementation
Integration of roadmapping within Innovation Management Systems (IMS)
Roadmapping for sustainability, circular economy, and societal impact
Digital platforms and tools for roadmap dissemination and engagement
Organisational, governance, and policy implications of advanced roadmapping practices
Case studies and best practices from industry, government, or academia
Both theoretical and empirical contributions, as well as practice-oriented case studies, are encouraged. Submissions that bridge academic research and real-world application are particularly welcome.
Engineering Trust: Blockchain, AI, and the Algorithmic Governance of Global Supply Chains
Global supply chains are operating in an era of sustained poly-crisis marked by geopolitical fragmentation, regulatory escalation, sustainability scrutiny, and escalating counterfeit risk. Engineering leaders must now design systems that ensure not only efficiency, but verifiable trust. This invited session examines how blockchain, Artificial Intelligence (AI), and advanced analytics are converging to enable algorithmic governance in global supply chains. Moving beyond visibility toward verifiability, the session explores how distributed ledger technologies integrated with AI and IoT transform traceability into a strategic governance capability. Recent large-scale empirical evidence shows that blockchain-enabled traceability systems significantly reduce counterfeit incidents and generate positive capital market reactions around adoption announcements. However, these benefits depend critically on digital maturity and complementary AI-driven analytics integration.
The Core Themes for the session are:
Blockchain as a governance mechanism reducing information asymmetry and agency costs
AI-enabled anomaly detection and predictive supply chain risk management
Smart contracts and automated compliance infrastructures
Digital maturity as a moderating capability
Capital market reactions to traceability investments as governance signals
Designing resilient, trustworthy supply ecosystems under regulatory uncertainty
This session positions algorithmic governance as a core capability for engineering management. We conceptualize it as a dynamic capability embedded within a convergent digital ecosystem. The session invites interdisciplinary contributions that bridge engineering management, operations strategy, technology governance, finance, and digital transformation.
