ML based prediction of actual execution time of operations
Here you find the details for the internship named "ML based prediction of actual execution time of operations" in the company Ardis.
Name: | ML based prediction of actual execution time of operations |
Company: | Ardis |
Description: | The student will become part of our R&D team to work on our rapidly growing MES solution. The ARDIS R&D team is a passionate team with a broad mix of talents and skills, supporting personal growth and ambition. Often the estimates of how long it takes to perform operations on parts to be produced, is roughly defined based on static information. The goal of this internship is to implement an ML algorithm which can estimate the effective operation durations and train it with the actual production data available in our MES. |
Target profiles: |
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Required special knowledge: | |
Duration: | 4-6 weeks |
Paid: | Nee |
Net wage: | - |
Foreign: | Nee |
Contact: |
Gerben Van Dijck (Product Owner) Email: gerben.vandijck@ardis.eu Tel: |