Thesis Work - Digital Factory (layout planning)

Scania Group; Södertälje kommun; Vor Ort; SEK 201.000 - 268.000; Vollzeit

Zusammenfassung

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

Qualifikationen

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

Aufgaben

• 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.

Kenntnisse

Optimization

OR methods

Algorithms

Simulation

PFEP

Ausbildung

Master's in Applied Mathematics

Industrial Engineering

Computer Science/AI

Production Engineering

Jobbeschreibung

30 hp – Plan for Every Part-driven multi-objective optimization of line-side material presentation and factory layout

Introduction

Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project.

Background

Digital factory planning requires continuity between material planning, resource configuration and factory layout. PFEP datasets describes article-level needs such as point of use, packaging, quantity, weight, and more. Ongoing Scania work uses PFEP datasets to generate line-side racks and pallets configurations in a virtual factory environment as part of a broader concept in production-and-logistics (P&L) data backbone. The next step is to utilize these PFEP generated configurations in virtual environment of station- or area-level multi-objective optimizations.

Objective

Develop and evaluate a multi-objective approach for jointly reconfiguring and positioning PFEP-generated line-side resources. Decision variables may include rack pose, rack and shelf configuration, article or package reassignment and within-shelf placement. Preserve PFEP traceability and return accepted results as structured PFEP change proposals.

Job Description

Review the PFEP rack generator and previous layout optimization framework; formulate the station- or area-level problem; and implement suitable optimization methods. Constraints may include geometry, package fit, access and material-flow rules. Objectives may include worker well-being, material flow or walking, logistics handling, area use and reconfiguration effort. Compare optimized solutions with a PFEP baseline in an industrial case and evaluate quality, robustness and computational performance. Define a traceable, user-approved PFEP change set for article reassignment, rack reconfiguration and resource relocation.

Education/program/focus

Master's in Applied Mathematics, Industrial Engineering, Computer Science/AI, Production Engineering or similar, with focus on optimization/OR, algorithms or simulation.

Number of students: 1-2

Start date for the thesis work: January 2027, or as agreed

Estimated time required: 20 weeks

Contact persons and supervisors

Scania CV AB, Global Industrial Development, Södertälje.

Andreas Lind, [e-mail]

A background check might be conducted for this position. We are conducting

interviews continuously and may close the recruitment earlier than the date specified.