Agent-based optimization for Order Promising – NXP Semiconductors N.V.



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.


      1. Agent-based Order Promiser. 
      1. 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:  


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