Robust wafer planning using stochastic optimization – NXP Semiconductors
Overview
Company Name / Department | NXP Semiconductors N.V. |
Contact Person | Eric Weijers |
Location | Eindhoven, HTC 60 |
Optional remote work | Yes, preferred to be in the office on Tuesdays and Thursdays |
Travel expenses (own account or reimbursed by the company) | Travel allowance is calculated based on residence location and the number of days in office |
Housing arranged by company | No |
Housing expenses (how much per month, own account or subsidized by the company) | Not covered |
Internship compensation | 550 euro per month |
Study program | Operations Management & Logistics |
ESCF community | ESCF Full Member |
Start date | 01-03-2025 |
Company Description
NXP Semiconductors designs, develops, and manufactures semiconductors for a wide range of applications. Most notably NXP is the market leader in semiconductors for the automotive industry. The company has over 30.000 employees and operations span the entire globe (over 30 countries).
Project Description
NXP has a complex supply chain to manufacture and deliver semiconductors. Currently, NXP uses centralized/top-down LP models to generate supply chain plans based on capacity and demand. Input parameters are deterministic and change over time, causing plan robustness to be insufficient.
In this project, you will develop a stochastic optimization model to include uncertain parameters in the plan optimization process, leading to more robust supply chain plans.
Goals of the Project
- Use stochastic optimization techniques to generate robust supply chain plans
Deliverables
1. Stochastic optimization model
2. Improve the current business process using the stochastic optimization model as a decision support system
Essential student knowledge
- Affinity with supply chain management
- Experience with coding in Python or C++
- Proactive work attitude
- Communicative
- Team player
- Knowledge of stochastic optimization is a pre but not required
More information: escf@tue.nl
