Multi-factor network optimization in the retail environment – MediaMarktSaturn Retail Group 



Company Name / Department

MediaMarktSaturn Retail Group

Contact Person

Dominik Binder M.Sc, Harald Vullings

Location Ingolstadt (Germany)

Optional remote work

Yes, Once a month for two to three days in Ingolstadt targeted. Remainder work from office home or NL.
Travel expenses (own account or reimbursed by the company) Reimbursement will be provided
Housing arranged by company No
Housing expenses (how much per month, own account or subsidized by the company) No
Internship compensation  €350,- per month
Study program Master of Operations and Logistics
ESCF community

Full member

Start date

September 2024, earlier start possible


 Company Description

    MediaMarktSaturn is Europe’s leading consumer electronics retailer. It sees itself as a partner, daily companion and navigator for its customers in the digital world. Its over 1,000 MediaMarkt and Saturn stores are closely integrated with their online shops. MediaMarktSaturn has a total headcount of more than 55,000.

    Project Description

    Project description:

    MediaMarktSaturn has a broad range of own brand products connected with high growth ambitions. Sourcing takes place mainly in Asia with various possibilities to bring own brand products from Asia to the end customers in Europe (route to market).
    Today, goods are being brought from Asia via a central distribution center in Europe to national distribution centers in various countries and finally to the stores / end customers. Direct deliveries from Asia to the National Distribution Centers are also applied, depending on the volumes to be shipped.
    Investigate how to optimize goods flows from production locations in Asia to end customers in Europe so that costs of capital, service and logistics costs are in balance.

    Goals of the project:

    Define what logistics network structure would fit best with the characteristics of the supply and demand patterns of the own brand products, taking costs of capital, logistics and service into account.
    Create a decision model, which advices an optimized route to market on sku level through the newly defined logistics network.


    • Blueprint Logistics Network
    • Decision model sku level route to market FE to end customer Europe

    Essential student knowledge:

    • Logistics network design
    • Mathematical modelling / simulation





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