Develop Decision Support Model for choosing transportation strategies – Astellas

 

 Overview

Company Name / Department

Astellas

Contact Person

Gerwin van Harskamp

Location Leiden, The Netherlands
Optional remote work Yes
Travel expenses (own account or reimbursed by the company) Reimbursed by company if student does not hold an OV-student card
Housing arranged by company No
Housing expenses (how much per month, own account or subsidized by the company) Own account
Internship compensation  €375 per month
Study program

 

ESCF community

Healthcare

Start date

September, 2024

 

 

 

Company Description

Astellas is pharmaceutical company headquartered in Tokyo, Japan. Astellas contributes toward improving the health of people around the world through the provision of innovative and reliable pharmaceutical products. Astellas has strived to deliver innovative medical solutions that meet patients’ needs. We are committed to achieving our VISION of being “on the forefront of healthcare change, turning innovative science into VALUE for patients.”

Within the Technology & Manufacturing Division, Supply Chain Management – Logistics & Distribution is responsible for global transport and warehousing.

 

Project Description

Project description:

In the Upstream transport (plant to plant, plant to DC) Astellas uses various transport lanes and modes of transport (road, rail, air, ocean). Choosing the right lane and the right modality is dependent on many criteria such as service levels, sustainability,  cost and external factors.

Goals of the project:

The student will collect and analyze relevant supply chain data to address the following objectives:

  1. Develop a decision support model for the selection of upstream transport lane and modality.
  2. Visualize lane/mode selection, shipping status and relevant data.
  3. Improve cost-effectiveness by identifying opportunities for cost reduction in upstream transport, and perform what-if analysis.

Enhance sustainability practices by promoting the use of environmentally friendly transport options.

    Deliverables:

    • Decision criteria and an optimization approach.
    • Decision support model architecture.
    • Dashboard visualizing lane/mode selection, shipping status and relevant data.
    • Roadmap for implementation of the Concept
    • Description of short-, mid-, long-term benefits

      Essential student knowledge:

      • General overview regarding Business Administration Operations Research
      • Data modelling and analysis
      • Global mindset
      • Understanding of supply chain management principles
      • Optional: Knowledge of transportation modes (road, rail, air, ocean) and their respective advantages, disadvantages, and operational considerations

         

         

        More information: escf@tue.nl  

         

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