by VeraMackus | Sep 1, 2022
Leveraging Time Aggregated Data and Advanced Machine Learning Techniques to Improve Semiconductor Demand Forecasting at an Anonymized Semiconductor Company “Semiconductor shortage still a concern, says Bajaj”; “Chrysler Parent Stellantis Needs Chips. The Shortage Is...
by VeraMackus | Jun 22, 2022
Contextualize and Integrate Multidimensional, Segregated Data in Explaining Unplanned Downtime at Multipurpose Lines The fourth industrial revolution, or Industry 4.0, is widely known for increased productivity and equipment uptime. However, it is minimally embraced...
by gwenvleeuwen98 | Apr 25, 2022
A new planning system at DOW Chemical Company With Amazon gaining more and more importance outside of retail, typical B2B organizations might get threatened. Amazon’s robust infrastructure in logistics is a solid foundation for expansion in areas not obvious in...
by Sam Smetsers | Jan 20, 2022
Analyzing unplanned downtime of a pharmaceutical production line Where logistics meet data, interesting questions arise. In our Data2Move Research Stories, you’ll find out how students have answered them. This time: Daan Tankink’s research on the unplanned downtime of...
by Sam Smetsers | Jan 6, 2022
The effect of logistic service quality on customer loyalty Where logistics meets data, interesting questions arise. In our Data2Move Research Stories, you’ll find out how students have answered them. This time: Casper van der Schenk’s research at Hilti on how logistic...
