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What is the issue? Processes in Vanderlande systems are challenging to understand. The processes are complex and there are numerous combinations of process steps. It is hard to determine when the behavior is unexpected.
Why does this issue occur? The first step for improvement in the system is finding when things were sub-optimal. Currently, there is no automated way to find when process steps were sub-optimal.
What is the impact of the issue? Currently, large manual efforts are spent to find where the process has issues and what to improve. The conclusions are not always fact-based by data. This leads to sub-optimal improvements which do not solve the inefficiencies in the system processes.
How can a predictive model be developed to identify sub-optimal process steps in Vanderlande systems, and what impact would this model have on reducing manual efforts and improving process efficiency?
Digital Service Platform (DSP) builds the digital service solutions for Vanderlande. DSP is part of the DCS or software development department within Business Unit Technology. The student works in the product team of Process Optimization in DSP.
Contact
Do you recognize yourself in this challenging profile? And are you looking for an internship/graduation assignment in our organization?
Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: internship@vanderlande.com
Vanderlande is the global market leader for value-added logistic process automation at airports, and in the parcel market. Vanderlande’s baggage handling systems move 4.2 billion pieces of luggage around the world per year. Its systems are active in 600 airports including 14 of the world’s top 20.
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