For our team, we are looking for a Master thesis student who writes his/her thesis with us on the topic of "Creation of a model to estimate size and setup of service parts stock in an environment with missing datapoints”. Do you love quantitative research and interpreting data? Then take the chance and apply now!
- You conduct a comprehensive literature review on the current state of research on the topic of modeling stock size and setup, both internally and externally in the industry
- Our environment is classified as ´scale up´, which means that the traditional elements of large quantities of datapoints used for stock predictions are not available, you will be challenged to come up with a solution (direction) for this challenge
- You derive hypotheses for the stock prediction and setup for service parts based on your research
- You execute a quantitative data analysis based on the data and frameworks to test the hypotheses
- You are responsible for the evaluation, interpretation and documentation of the results in English