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14th ECTRI Economics & Policy Webinar
July 26 @ 11:00 am - 12:00 pm
Title of the Presentation:
About the Webinar:
The knowlEdge project (2021 – 2024) focused on transforming manufacturing and supply chain operations through the application of advanced computational techniques. By integrating real-time data processing and intelligent decision-making systems, the project aimed to enhance efficiency, flexibility, and responsiveness within supply chains. This was achieved through intelligent resource planning and adaptive scheduling, increased operational efficiency and reduced faulty output, ensuring optimal resource utilisation and reduced operational costs. Decentralised Technical Intelligence (DTI) refers to the deployment of AI and machine learning algorithms in a distributed manner across various network nodes and stressing human involvement, allowing for local data processing and autonomous decision-making without relying on a central authority. The knowlEdge project embodied DTI concepts by enabling decentralised, real-time optimisation of supply chain activities. This approach not only improves operational efficiency but also enhances the resilience and adaptability of supply chains in the face of disruptions.Transport economics, fundamentally concerned with the efficient allocation of resources in the transport sector, could be significantly impacted by the integration of DTI within production management and supply chains. The knowlEdge project demonstrated that DTI can lead to cost reductions, improved service quality and enhanced environmental sustainability within production and related transportation and logistical activities. By improving operations and reducing emissions through intelligent management, DTI supports more sustainable and economically viable transport systems. Additionally, smarter infrastructure investment driven by data insights, also originating from production systems data exchange, ensures that transport networks evolve in line with actual demand, further boosting economic efficiency.
Bio of the presenter:
Stefan Walter has been a senior scientist at the Technical Research Centre of Finland (VTT) since 2019. He is part of the Intelligent Supply Chains and Logistics team, focusing on the Cognitive Production Industry within the Sustainable Products and Materials business area. His general research emphasises sustainable, cognitive value chains and processes. As the coordinator of the Horizon 2020 project knowlEdge (2021 – 2024), Stefan oversaw advancements in AI applications for manufacturing. This project aimed to integrate artificial intelligence into production management, including supply chain optimisation.Stefan’s academic background includes studies in geography and social sciences, culminating in a doctorate in sustainable economic development. His professional experience spans various management and consulting activities in the logistics industry, providing a practical edge to his academic and research endeavors. In addition, he has also engaged in teaching assignments in economics, logistics, and supply chain management, as well as offering general courses in business administration. Previous and current research areas include adaptation to changing conditions (climate change), sustainable development environmental sociology, environmental governance, economic policy, macroeconomics, energy economics, innovation, various management areas such as natural resource, corporate, risk, logistics, supply chains, and decentralised intelligence, industrial evolution and cognitive production.