Thesis Work - Digital Factory (layout planning)

Construction, Engineering & Trades · Civil & Industrial Engineering · Industrial Engineering

In short

Scania offers a thesis work opportunity focusing on the Digital Factory, specifically in layout planning. This project involves multi-objective optimization of line-side material presentation and factory layouts, utilizing PFEP datasets to generate configurations and optimize station-level resource placement. The ideal candidate has a Master's degree in Applied Mathematics, Industrial Engineering, Computer Science/AI, or Production Engineering, with a focus on optimization, 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.
Compare optimized solutions with a PFEP baseline in an industrial case.
Evaluate quality, robustness, and computational performance.
Define a traceable, user-approved PFEP change set for article reassignment, rack reconfiguration and resource relocation.

Requirements

Master's in Applied Mathematics, Industrial Engineering, Computer Science/AI, Production Engineering or similar.
Focus on optimization/OR, algorithms or simulation.
Ability to develop and evaluate a multi-objective approach for jointly reconfiguring and positioning PFEP-generated line-side resources.
Preserve PFEP traceability and return accepted results as structured PFEP change proposals.
Understand constraints including geometry, package fit, access and material-flow rules.
Understand objectives including worker well-being, material flow or walking, logistics handling, area use and reconfiguration effort.

Desired Qualifications

Experience with PFEP datasets.
Familiarity with virtual factory environments.
Knowledge of multi-objective optimization techniques.

Benefits

Build relationships for the future with Scania.
Opportunity to gain experience in Digital Factory planning.
Work on a project with direct industrial application.

Skills

OptimizationAlgorithmsSimulationData Analysis

#Digital Factory#Layout Planning#Optimization#Scania#Industrial Engineering

About Scania Group

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. Employing more than 50,000 people in about 100 countries, Scania’s research and development is concentrated in Sweden, while production takes place in Europe and South America.

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