Agent-based optimization for Order Promising – NXP Semiconductors N.V.
Overview
| Company Name / Department |
NXP Semiconductors N.V. |
| Contact Person |
Cas Rosman |
| Location | Eindhoven, HTC 60 |
|
Optional remote work |
Yes, preferred to be in office on 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 per month |
| Study program | Operations Management & Logistics |
| ESCF community |
Full member |
| Start date |
September 2024 |
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
Project description:
NXP has a fully automated system for order conformation towards customers. When customer orders come in, the system checks if the requested quantity and due date are feasible. If feasible, the order is automatically confirmed to the customer. The current method is based on a heuristic and only checks if orders are feasible.
In this project, you will develop a method for promising orders to customers that optimizes towards customer satisfaction and revenue.
Goals of the project:
Develop an Agent-based Order Promiser.
Deliverables:
- Agent-based Order Promiser.
- Improve current business process using the Agent-based Order Promiser 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 Agent-based modeling is a pre but not required.
More information: escf@tue.nl
