Simon Emde

Professor of Business Informatics, esp. Business Intelligence

Friedrich Schiller University Jena

Germany

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About

Professor Simon Emde serves as a faculty member in the Department of Business Informatics at Friedrich-Schiller-Universität Jena, Germany. His research focuses on Business Intelligence and encompasses various areas including logistics optimization, automated systems, and electric vehicle scheduling. Recent publications highlight his work on Robotic Mobile Fulfilment Systems and advanced algorithms for logistics challenges such as last-mile distribution and routing in complex supplier networks.

Articles (14)

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (5)

Ralf Elbert

Professor

Technische Universität Darmstadt

GERMANY

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Najmaddin Akhundov

Assistant Professor

Adelphi University

UNITED STATES

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Christoph H. Glock

Technische Universität Darmstadt

GERMANY

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Felix Weidinger

Professor

Technische Universität Darmstadt

GERMANY

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Nail Tahirov

Assistant Professor

Durham University

UNITED KINGDOM

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Simon Emde

Research Interests

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Articles (14)

The power of Robotic Mobile Fulfilment Systems — A sensitivity analysis

The first mile is the hardest: A deep learning-assisted matheuristic for container assignment in first-mile logistics

Locating charging stations and routing drones for efficient automated stocktaking

Configuration of last-mile distribution networks for an encroaching manufacturer

Assigning orders and pods to picking stations in a multi-level robotic mobile fulfillment system

Minimizing earliness-tardiness costs in supplier networks—A just-in-time truck routing problem

Multi-depot electric vehicle scheduling in in-plant production logistics considering non-linear charging models

Multi-shuttle crane scheduling in automated storage and retrieval systems

Point-to-point and milk run delivery scheduling: models, complexity results, and algorithms based on Benders decomposition

New solution procedures for the order picker routing problem in U-shaped pick areas with a movable depot

Crowdshipping by employees of distribution centers: Optimization approaches for matching supply and demand

Crane scheduling for end-of-aisle picking: Complexity and efficient solutions based on the vehicle routing problem

Intermodal service network design with stochastic demand and short-term schedule modifications

Internal resource requirements: The better performance metric for truck scheduling?

Collaborators (5)

Ralf Elbert

Najmaddin Akhundov

Christoph H. Glock

Felix Weidinger

Nail Tahirov

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