Modeling of Disruptions and Operational Conditions in Battery Electric Road Freight Logistics [SA/IDP]

Institut

Lehrstuhl für Fahrzeugtechnik (TUM-ED)

Typ

Semesterarbeit /

Inhalt

theoretisch /  

Beschreibung

Motivation

Road freight logistics operates under tight margins, while disruptions often cause substantial follow-up costs. At the same time, electrification, driven by the European Commission’s emission targets, adds new constraints and decisions to daily operations. To realistically represent battery-electric truck (BET) fleets, it is essential to understand typical sources of disruption such as traffic congestion, weather effects, or unreliable actors in the supply chain, as well as operational conditions like time windows and order flexibility.

At the chair, several simulation models are developed that require a realistic integration of real-world logistics properties. However, current research lacks a comprehensive and systematic model that captures both disruptions and operational conditions in truck operations. This gap limits the realism and reliability of existing simulations.

 

Thesis topic

The objective of this thesis is to identify and characterize relevant disruptions and operational conditions for BET fleets. Building on this analysis, a scientifically grounded model will be developed in Python to enable more realistic simulations of BET operations in logistics. Existing modeling approaches from the literature should be reviewed, adapted, and integrated where suitable.

 

What you get

• Contribute to scientific research in a highly future-oriented field of commercial transport mobility
• In case of excellent working performance: Opportunity for a follow-up thesis work (master’s thesis) and co-authorship in a scientific paper
• Close supervision with weekly meetings

 

Work packages

• Literature research disruption types and operational conditions, as well as existing approaches to model them
• Comparison of different modeling approaches
• Development of a framework to integrate disruptions and operational condition in order data
• Validation of the proposed approach
• Evaluation of key factors influencing disruptions

Voraussetzungen

Requirements

• Passion for e-mobility and energy-transition-accelerating technologies
• Initial programming experience in Python
• Independent and structured way of working
• Very good German or English language skills

Tags

FTM Studienarbeit, FTM EV, FTM EV Operations, FTM Bussieweke, FTM Informatik

Möglicher Beginn

sofort

Kontakt

Fabian Bussieweke, M.Sc.
Raum: MW 3511
Tel.: +49 89 289 10410
fabian.bussieweketum.de

Ausschreibung