Thesis Work - Digital Factory (layout planning)
Scania GroupRekommenderat
Sammanfattning
Scania is seeking Master's students for a thesis project focused on optimization and smart manufacturing within a global manufacturing context. The role involves developing innovative solutions to enhance material flow and factory layout design using PFEP data. This opportunity allows students to gain hands-on experience while collaborating with experts in a hybrid work environment in Södertälje, Sweden.Jobbet i korthet
Arbetstid
deltid
Det här erbjuder vi
Dynamic, flexible workplace with hybrid work options.Structured development plan and courses for career growth.Training at health center Gröndal or wellness allowance.Result bonus and flexible hours.Company car leasing options.Events for employees and their families.Direct access to Södertälje via Scania Job express buses.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-23
Beskrivning
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, andreas.lind@scania.com
Application:
Your application must include a CV, personal letter and transcript of grades
A background check might be conducted for this position. We are conducting
interviews continuously and may close the recruitment earlier than the date
specified.
Publication date from-to.
2026-10-01-2026-11-22
Requisition ID: 33106
Number of Openings: 1.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country / Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0-25%
Workplace: Hybrid
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, andreas.lind@scania.com
Application:
Your application must include a CV, personal letter and transcript of grades
A background check might be conducted for this position. We are conducting
interviews continuously and may close the recruitment earlier than the date
specified.
Publication date from-to.
2026-10-01-2026-11-22
Requisition ID: 33106
Number of Openings: 1.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country / Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0-25%
Workplace: Hybrid
Ansök till tjänsten
Thesis Work - Digital Factory (layout planning)
Rekommenderat
OM FÖRETAGET
Scania Group
