Base Knowledge
No prior knowledge is required; however, a solid quantitative background is desirable.
Teaching Methodologies
The course unit follows a pedagogical model based on problem-solving and combines the expository methodology with active learning methods, involving participatory practice and activities such as debates and the discussion of practical cases.
Expository sessions enable students to acquire a solid theoretical foundation and to analyze concepts that are complemented by guided discussions in class. The analysis of concrete examples of companies that have implemented technological innovations in logistics will be a determining factor.
Through the study of real cases, the sharing of experiences is fostered, leading to a deeper understanding of the context of logistics management and innovation.
Debate will be used as a structured active learning method when addressing major themes. In addition, practical classes will include exercises and the use of appropriate software, as well as simulations and business games.
Lectures will be complemented by seminars/open classes with guest speakers from companies. This structure will provide a rich and relevant learning experience for students seeking to develop advanced skills in the field of logistics innovation, with a clear focus on information systems.
Learning Results
This Course Unit (CU) has as its main objective the analysis of emerging trends in logistics management, technologies, equipment, and information systems for logistics, as well as their implications for business competitiveness. Accordingly, the following objectives are outlined:
O1: Understand current logistics trends and strategies
O2: Explore the impact of disruptive technologies
O3: Propose innovative logistics solutions
O4: Promote informed decision-making
The proposed approach aims to develop competencies in the following domains:
C1 – Solve logistics problems using critical thinking
C2 – Understand strategic principles and the integration of information systems in logistics
C3 – Recognize technologies and trends in innovative logistics
C4 – Use tools and technologies to optimize logistics operations
C5 – Develop models to support logistics decision-making and communicate them effectively
Program
1. Logistics Management Strategies
1.1 Analysis of Logistics Processes
1.2 Transformation and Modernization
1.3 New Models of Logistics Management
1.4 Information Systems in Logistics
2. Application of Emerging Technologies in Logistics
2.1 Opportunities of New Technologies in Logistics
2.2 Logistics Innovation in:
Warehousing
Transportation
Reverse Logistics
Supply Chains and their Sustainability
3. Performance and Innovation Outcomes Management
3.1 Metrics, Tools, and Processes for Monitoring Logistics Performance
3.2 Assessing the Impact and Outcomes of Innovations
3.3 Managing and Reporting Logistics Performance
Curricular Unit Teachers
Ana Cristina dos Santos AmaroInternship(s)
NAO
Bibliography
Fundamental
[1] Jacobs, F.R. and Chase, R.B., Operations and Supply Chain Management. The core, McGraw-Hill, 2023, ISBN: 978-1-265-07682-5.
[2] Manners-Bell, J., & Lyon, K. (2019). The logistics and supply chain innovation handbook: Disruptive technologies and new business models. Kogan Page Publishers.
[3] Sullivan, M., & Kern, J. (2021). The Digital Transformation of Logistics: Demystifying the Impacts of the Fourth Industrial Revolution. New Jersey, Wiley, IEEE Press.
Complementary:
[4] Jacobs, F.R. and Chase, R.B., Operations and Supply Chain Management, McGraw-Hill, 2021, ISBN: 978-1-260-57594-1.
[5] Langley, C. J., Novack, R. A., Gibson, B., & Coyle, J. J. (2020). Supply chain management: a logistics perspective. Cengage Learning.
[6] Subramanian, N., Chaudhuri, A., & Kay?kc?, Y. (2020). Blockchain and Supply Chain Logistics: Evolutionary Case Studies. Springer Nature