Blended Intense Program – Sustainable Supply Chain & Logistics Wired by Data Analytics

This BIP offers a unique opportunity for students to explore supply chain sustainability and to gain data
analytics and optimization knowledge, welcoming participants from diverse backgrounds without
requiring prior experience. The program is opened to undergraduate and master’s students from
partner universities and it comprises two phases: virtual and in-person.
Now a days, logistics and supply chain subjects are perceived by researchers, academics and
organizational partitioners as critical factors to achieve future developments. Also, the technological
progress contributed significantly to enhance traceability and provide real time analysis to improve
supply chain responsiveness and resilience pillars.
Moreover, different operational research applications for decision-making in areas such as
Management, Logistics, Warehouse and Stock Optimization, Supplier & Vendor selection, Transport
and Distribution, Marketing, and the overall Supply Chain can be found. Additionally, topics on
sustainability can introduce important insights for design and planning analysis.
Besides that, Data Analytics (DA) is increasingly famous due to the impact that data analysis has
revealed, both for individual citizens and for organizations. In both cases, Data Analytics presents itself
as a powerful aid for more assertive and informed decision-making. In here, data analysis and data
visualization represent important decision-making insights and support tools. These are expected to be
increasingly robust and available closer to real time.
So, extracting insights from data and introducing optimal model proposals’ result in a progressively high
important scope to logistics and supply chain sustainable planning and management. This is due to
deep understanding that may be brought from optimization techniques and from data analysis to
promote data-driven decisions on different field of applications.