Master Thesis Method for dynamic bottleneck prediction in in-house logistics processes (f/m/x)

Key Responsibilities

• Develop a method for dynamic bottleneck prediction in in-house logistics processes
• Identify suitable methodologies for dynamic bottleneck prediction based on literature review
• Predict material flows based on planned deliveries, demands, and replenishments
• Derive actual load on each storage-to-storage area relation
• Identify dynamic bottlenecks (most heavily loaded relation in comparison to predicted available capacity)

Requirements

Education

Study program with a focus on digitalization, logistics or supply chain management

Required Skills

• Good English skills
• Interest in academic research
• Passion for logistics and digitalization

Benefits

• Comprehensive mentoring & onboarding
• Personal & professional development
• Flexible working hours
• Digital offers & mobile working
• Attractive remuneration
• Apartment offers for students (subject to availability & only Munich)