Speech Title: Driving Digital Transformation in Manufacturing: Enhancing the Power of Manufacturing as a Service (MaaS) through Computational Intelligence
Abstract: Manufacturing as a Service (MaaS) is a production paradigm in which resources are offered as services, allowing companies to access distributed manufacturing providers to get quickly on-demand customized products. Facilitated by digital platforms, MaaS enables seamless information sharing, matching the supply and demand for manufacturing services, and improving data flow between partners. Computational intelligence (CI)—through advanced algorithms, machine learning (ML), and artificial intelligence (AI)—can significantly enhance the efficiency and scalability of MaaS. By integrating these technologies, businesses can unlock real-time optimization of supply chains, predictive forecasting, and smarter resource management. This data-driven approach not only boosts operational efficiency but also strengthens resilience against disruptions, supports sustainability initiatives, and drives cost reduction. Ultimately, CI empowers MaaS to achieve digital transformation, aligning manufacturing with key environmental and economic goals, while reshaping the future of production systems.

Biodata: Yasamin Eslami is an associate professor at LS2N (Laboratoire des Sciences du Numérique de Nantes), Ecole Centrale de Nantes, Nantes, France. There, she is more focused on the topic of sustainability, sustainable manufacturing, circularity and circular manufacturing as a member of the Industrial engineering team. In addition to her main field of research, as a part of European projects, she has done research on different concepts like Manufacturing as a Service, resilience, ontology creation, knowledge representation, enterprises competences and cyber physical systems. On the grounds of her PhD thesis, she has done full time research on concept of sustainability, sustainable manufacturing, and its assessment in manufacturing enterprises. To that point, she has earned experience in sustainability assessment tools, key performance indicators and indicators study especially regarding the manufacturing enterprises active in the 4th industrial revolution paradigm.

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