Technology and Automation in Supply Chains

Description

Digital transformation and automation are reshaping how global supply chains are designed, managed, and optimized. This course examines how emerging technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, Big Data Analytics, and Robotic Process Automation (RPA), enable smarter, more agile, and more transparent supply networks. Students will learn about both the opportunities and the organizational challenges associated with Industry 4.0, including smart warehousing, autonomous logistics, and the integration of digital platforms across the supply chain, and how this can enhance competitiveness, transparency, resilience, and sustainability across the supply chain. The course will further examine the challenges and risks associated with digital transformation, including cybersecurity, data governance, and the human–technology interface. Digitalization and Industry 4.0 in supply chains AI in supply chains Smart manufacturing, automation, and autonomous logistics systems Internet of Things (IoT) and data connectivity across supply chain partners Big data analytics for predictive and prescriptive decision-making Blockchain applications for transparency, traceability, and trust Robotic Process Automation (RPA) in sourcing, procurement and logistics Cybersecurity and digital risk management Organization readiness and digital maturity Digital transformation and organizational change Integration of emerging technologies for end-to-end visibility and competitiveness The course combines lectures, case analyses, and project-based learning. Real-world digitalization cases will be used to connect theory to practice. Students are expected to engage actively in discussions and group work.