Thesis: Digital Factory Layout & Multi-Objective Optimization

Scania Group; Södertälje kommun; On-site; SEK 201,000 - 268,000; Full time

Job summary

Scania CV AB in Södertälje invites Master’s students to work on a PFEP-driven multi-objective optimization of line-side material presentation and factory layout. You will review the PFEP rack generator and the previous layout optimization framework to formulate the station- or area-level problem and implement suitable optimization methods.

The project starts January 2027 for about 20 weeks, with 1-2 students, and includes evaluating solutions against a PFEP baseline and producing traceable

Qualifications

• Master's degree in Applied Mathematics, Industrial Engineering, CS/AI, or Production Engineering.
• Experience with optimization/OR, algorithms or simulation.

Responsibilities

• Review the PFEP rack generator and previous layout optimization framework.
• Formulate the station- or area-level problem.
• Implement suitable optimization methods.
• Define a traceable PFEP change set for article reassignment, rack reconfiguration and resource relocation.

Skills

Optimization

OR methods

Algorithms

Simulation

PFEP

Education

Master's in Applied Mathematics

Industrial Engineering

Computer Science/AI

Production Engineering

Job description

Scania CV AB in Södertälje invites Master’s students to work on a PFEP-driven multi-objective optimization of line-side material presentation and factory layout. You will review the PFEP rack generator and the previous layout optimization framework to formulate the station- or area-level problem and implement suitable optimization methods.

The project starts January 2027 for about 20 weeks, with 1-2 students, and includes evaluating solutions against a PFEP baseline and producing traceable