In supply chain management and logistics operations, data can generate important new insights and trigger more effective and smart operations. But most companies experience difficulties getting their data flow to work for them. Do you want to know how you can integrate data into your supply chain and logistics operations? Data2Move can help you find the answers.
Data2Move is a research community, think-tank, and eco-system that operates on the interface of Internet of Things, Big Data and Logistics / Supply Chain Management. Here, academics and students from TU/e collaborate with prominent industry partners to advance knowledge on supply chain optimization with the aid of data. Together they deliver scientific results that can be put into practice and shared with other community members.
Each charter addresses certain challenges:
- Data-Driven Last-Mile Logistics: To improve the efficiency of last-mile planning, we study the use of geolocation, a transport marketplace and the combination of deliveries and pickups, keeping in mind human aspects like driver satisfaction.
- Data-Driven Inventory: To optimize inventories, we study end-to-end supply chains, benefit sharing among supply chain partners and predictive stock management
- Customer Sensing and Responding: To better understand the customer, we work on demand prediction, demand shaping as well as mining the customer journey and touchpoints.
- Supply Network Collaboration: To attain successful supply network collaboration, we will study how to build both trust and efficient platforms for data sharing and brokerage, using blockchain and control towers.
We host multiple events per year, aiming to build relationships within the community and learn about the latest trends in logistics and data science.
Where logistics meets data, interesting stories arise. Each story illustrates the importance of data, and in many cases, the research resulted in significant savings and supply-chain improvements for our companies. All research stories can be found here.