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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)

Profilbild av Yongkuk Jeong

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