Master Thesis: Network Value Optimizer
Logistics, Sales & Operations · Supply Chain & Transport · Logistics Management
In short
Master's students in Supply Chain Management, Logistics, or Data Science are sought for a temporary thesis project at Volvo Group in Göteborg. The project involves developing a data-driven framework to optimize the supply chain network and quantify inventory distribution trade-offs.
Responsibilities
- Design and define a supply chain network based on existing supply chain configuration
- Analysis of spare part demand patterns
- Evaluation of cost, availability and service level trade-offs
- Scenario analysis and business impact
Requirements
- Motivated Master's students
- Studying Supply Chain Management, Logistics, Data Science, or other relevant fields
- Interest in supply chain resilience and solving complex business challenges
- CV, cover letter, and university grade transcripts
Desired Qualifications
- Develop a network value optimization framework
- Quantify inventory distribution trade-offs
- Create a decision-support tool
Benefits
- Opportunity to shape sustainable transport and infrastructure solutions
- Work with next-gen technologies and collaborative teams
- Gain expertise in supply chain resilience
- Potential to make a difference on a global scale
Skills
Supply Chain ManagementLogisticsData ScienceGraph Optimization
#supply chain#optimization#logistics#data science#master thesis#student
About Volvo Group
The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.\n\n
Company
Volvo GroupJob Posted
5 days ago
Expires
in 1 week
Employment Type
Internship
Work mode
On Site
Experience Level
Student
Locations
Göteborg, Sweden
Qualification
Master
Applicants
Be an early applicant
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