معرفی
Anna-Lena Sachs is a Senior Lecturer in Predictive Analytics at Lancaster University's Management Science department. Her research bridges inventory management, behavioural operations, and forecasting, with applications in retail, healthcare, automotive, and logistics sectors. She develops quantitative models and leverages industry datasets to solve practical supply chain challenges.
Research Interests: Inventory management for spare parts, data-driven decision support systems, multi-echelon optimization, markdown pricing strategies, and human decision behavior in operational contexts. She emphasizes translating academic insights into industry practice through field experiments and lab studies.
Scientific Recognition:
- Dean’s Award for Academic Excellence
- Fellow of the Higher Education Academy (ATLAS)
- Research Impact Award for Centre for Marketing Analytics and Forecasting
PhD Supervision: Actively mentors students in Operations Research, Management Science, and supply chain analytics. Current PhD candidates include Ritika Arora, Benjamin Lowery, Adam Page, Carlos Rodriguez Calderon, and Joe Rutherford.
Collaborative Networks: Affiliated with Lancaster’s STOR-i Centre for Doctoral Training, Centre for Marketing Analytics & Forecasting, and Data Science Institute. She has led projects with Royal Mail, Jaguar Land Rover, and GlaxoSmithKline.
