Supervised theses
I supervise thesis projects in production logistics, simulation, digital twins, and AI for manufacturing systems. Below is a selection of recent supervised student projects.
2025
- Pranav Harish Ramanujam and Johan Dackebro
Simplification of the DES-Model Building Process: Facilitating an Early-Stage Validation (DiVA) - Roshan Tiruvallur Devendar
Feasibility Study of Scheduling in Matrix Production Systems Using Large Language Models (DiVA)
2024
- Herdís Hanna Yngvadóttir
Social DMAIC Framework for Quality Improvement: A Case Study on a Manual Assembly Line in a Swedish Automotive Company (DiVA) - Gabriela Coutinho
Key Driver and Sustainability Framework for Low-Volume Manufacturing Industry (DiVA) - Simon Borg and Gerardo Awad Hirmas
Operational Resilience in Production Systems: A Strategic Analysis using DES Simulation (DiVA)
2023
- Mayari Perez Tay
A Simulation-Based Decision Support Tool for Circularity: Remanufacturing of an Electric Machine Case Study (DiVA) - Jesper Gans
Digitalisation of Predetermined Motion Time Systems: An Investigation Towards Automated Time Setting Processes (DiVA) - Emil Ekendahl and Shashank Rajashekara
Assessing the Impact of Centralization on Safety Stock: A Scenario-Based Case Study to Support Companies Exploring the Benefits of Utilizing a Centralized Warehouse Strategy in the Absence of Historical Data (DiVA)
2022
- Viktor Lingman and Mohamed Osman
Time Data Management: A case study focused on finding solutions for “Hard to determine” activities in manual assembly (DiVA) - Gladis Mauri
A framework for the implementation of real-time location systems in material handling: A case study at Scandia Transmission (DiVA)
2019
- Madeleine Ejdeskog and Sungji Woo
Effektivisering av monteringslina genom simuleringsprogrammet ExtendSim (DiVA)