DRL031 Emerging Technologies for Logistics and Business (Autumn 2024)

About the course

"Emerging Technologies for Logistics and Business," a comprehensive curriculum unit designed for Phd programs with a focus on staying at the forefront of disruptive technologies. In today's rapidly evolving business landscape, the integration of cutting-edge technologies is crucial for organizations to thrive and adapt to the ever-changing market dynamics. This course aims to equip students with the knowledge and skills necessary to navigate and leverage emerging technologies effectively in the realms of logistics and business.

Motivation: The motivation behind creating this curriculum unit stems from the recognition of the transformative impact that emerging technologies, often referred to as disruptive technologies, have on traditional business models and logistical processes. In an era marked by constant innovation and technological advancements, staying abreast of these changes is not only advantageous but imperative for professionals seeking success in the fields of logistics and business.

The integration of technologies such as artificial intelligence, Digital Twins, Internet of Things (IoT), and data analytics has reshaped how businesses operate, presenting both challenges and opportunities. Understanding and harnessing the power of these technologies can enhance efficiency, improve decision-making, and provide a competitive edge in the global marketplace.

This course module explores the emerging field of generative AI (generative artificial intelligence) and its potential applications in the domains of management and logistics. Generative AI encompasses a range of techniques that enable machines to produce novel, creative, and realistic content. In the context of management and logistics, generative AI holds promise for optimizing operations, enhancing decision-making, and improving customer experiences.

This course has been crafted with the intention of offering a forward-looking perspective, bridging the gap between theoretical knowledge and practical application. By delving into the latest trends and applications of emerging technologies in logistics and business, students will gain a holistic understanding of the transformative potential these innovations hold for various industries.

Through a combination of theoretical foundations, real-world case studies, and hands-on experiences, this curriculum unit seeks to empower students to become adept at integrating disruptive technologies into organizational strategies. By the end of the course, participants will not only be well-versed in the theoretical underpinnings of emerging technologies but will also possess the practical skills necessary to implement them in real-world business scenarios.

The course will be offered in Week 46 2024 (Nov 11-15) + Friday Nov 29 2024. The application is 15 October 2024.

The course is connected to the following study programs

• Philosophiae Doctor in Logistics (PhD)

Required prerequisite knowledge

Entry requirement: Admitted to a PhD program

The student's learning outcomes after completing the course

• Comprehensive Understanding of Emerging Technologies: Develop a thorough knowledge of key emerging technologies, including but not limited to artificial intelligence, digital twins, Internet of Things (IoT), and data analytics
• Explore the fundamental principles and concepts underlying each technology, gaining insight into their applications and potential impact on logistics and business.
• Critical Analysis of Disruptive Technology Trends: Analyze current trends and advancements in disruptive technologies within the context of logistics and business
• Evaluate the potential disruptive effects of these technologies on traditional business models and supply chain processes.
• Integration of Technologies in Business Strategies: Demonstrate the ability to strategically integrate emerging technologies into business operations and logistics management.
• Develop proficiency in identifying opportunities for technological innovation and applying these insights to enhance organizational efficiency and competitiveness.
• Application of Technology in Real-world Scenarios: Apply theoretical knowledge to real-world case studies and practical scenarios, simulating the challenges and decision-making processes associated with the adoption of emerging technologies.

Forms of teaching and learning

Lecturing, presentation of research on Emerging Technologies applications in supply chain management, organized discussions on future applications and case studies involving technologies taken in the course. The course is organized in two 3-day seminars. Between the first and the second seminar the students shall work on a course paper which will be presented by the students in the second seminar.

Coursework requirements - conditions for taking the exam

30 hours lectures plus student presentations and individual work with the course paper.

All lectures are mandatory