Forecast improvement by Simulation – Shimano Europe
Overview
| Company Name / Department |
Shimano Europe |
| Contact Person |
Gillis van de Zande |
| Location | Eindhoven, High Tech Campus |
|
Optional remote work |
Yes, 50% remotely possible |
| Travel expenses (own account or reimbursed by the company) | Own account (option to receive NS business card if required) |
| Housing arranged by company | No |
| Housing expenses (how much per month, own account or subsidized by the company) | |
| Internship compensation | €500,- per month |
| Study program | OML – OPAC |
| ESCF community |
Full member |
| Start date |
February, 2024 |
Company Description
On high level Shimano develops, manufactures and markets products that give people the opportunity to enjoy nature around them through cycling, fishing and rowing.
Project Description
Project description:
Within Shimano we want to improve the management of our stock levels & product availability. Improving the forecast is key to make this happen. In this project we want to challenge a student to come up with forecast improvement(s) and subsequently test via business simulation if this beats the as-is forecast method we use. With improvements you can think of using a different forecast aggregation level (total level, warehouse level, sales office or even product level) or replacing human interference with system generated forecast.
Goals of the project:
- Identify forecast improvements
- Simulate the forecast improvements vs the as-is forecast method
- Recommendations how to (1) improve our forecast (2) predict the impact on inventory
Deliverables:
- Scope
- Analysis of situation as-is
- Define forecast improvement suggestions
- Measure forecast improvements by simulations
- Potential impact on inventory
- Recommendations
Essential student knowledge:
- Being able to deal with lots of data & Python
- Outgoing – Not afraid to have interviews with different stakeholders across the company
- Organized – Good planning skills
- Curious
More information: escf@tue.nl
