Marcel Müller

About Marcel Müller

Marcel Müller, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Otto-von-Guericke-Universität Magdeburg, specializes in the field of Simulation, Logistics, Deadlocks, Reinforcement Learning, Multi-agent Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment

Integrating Home Healthcare and Patient Transportation: a Sample Average Approximation Approach to Optimize Scheduling and Routing

A review on reinforcement learning algorithms and applications in supply chain management

A Framework for Applying Reinforcement Learning to Deadlock Handling in Intralogistics

Towards Deadlock Handling with Machine Learning in a Simulation-Based Learning Environment

Simulationsmodell mit 3D-Animation zur schnellen Bewertung von Ablaufplänen in der Produktion

Einfluss von Störungen auf den Umgang mit Deadlocks in einem fahrerlosen Transportsystem

Handling of Logistic Deadlocks with Machine Learning

Marcel Müller Information

University

Position

Research Fellow

Citations(all)

228

Citations(since 2020)

227

Cited By

20

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Marcel Müller Skills & Research Interests

Simulation

Logistics

Deadlocks

Reinforcement Learning

Multi-agent Reinforcement Learning

Top articles of Marcel Müller

Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment

2023/12/10

Marcel Müller
Marcel Müller

H-Index: 3

Tobias Reggelin
Tobias Reggelin

H-Index: 8

Integrating Home Healthcare and Patient Transportation: a Sample Average Approximation Approach to Optimize Scheduling and Routing

2023/12/10

Marcel Müller
Marcel Müller

H-Index: 3

Patrick Hirsch
Patrick Hirsch

H-Index: 17

A review on reinforcement learning algorithms and applications in supply chain management

2023/10/18

A Framework for Applying Reinforcement Learning to Deadlock Handling in Intralogistics

2023

Marcel Müller
Marcel Müller

H-Index: 3

Tobias Reggelin
Tobias Reggelin

H-Index: 8

Towards Deadlock Handling with Machine Learning in a Simulation-Based Learning Environment

2022/12/11

Marcel Müller
Marcel Müller

H-Index: 3

Tobias Reggelin
Tobias Reggelin

H-Index: 8

Simulationsmodell mit 3D-Animation zur schnellen Bewertung von Ablaufplänen in der Produktion

Simulation in Produktion und Logistik 2021: Erlangen, 15.-17. September 2021

2021/8/26

Einfluss von Störungen auf den Umgang mit Deadlocks in einem fahrerlosen Transportsystem

Simulation in Produktion und Logistik 2021: Erlangen, 15.-17. September 2021

2021/8/26

Handling of Logistic Deadlocks with Machine Learning

14th International Doctoral Students Workshop on Logistics

2021/6/22

NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies

Expert Systems with Applications

2021/6/15

An optimization model for urban transport distribution with time windows: A case study of invoice delivery in a law firm

IFAC-PapersOnLine

2021/1/1

Real-time combination of material flow simulation, digital twins of manufacturing cells, an AGV and a mixed-reality application

Procedia CIRP

2021/1/1

Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools?

Procedia Computer Science

2021/1/1

Integration of deep reinforcement learning and discrete-event simulation for real-time scheduling of a flexible job shop production

2020/12/14

Tobias Reggelin
Tobias Reggelin

H-Index: 8

Marcel Müller
Marcel Müller

H-Index: 3

Scheduling jobs in a two-stage hybrid flow shop with a simulation-based genetic algorithm and standard dispatching rules

2020/12/14

Comparison of deadlock handling strategies for different warehouse layouts with an AGVS

2020/12/14

Marcel Müller
Marcel Müller

H-Index: 3

Tobias Reggelin
Tobias Reggelin

H-Index: 8

Assigning dispatching rules using a genetic algorithm to solve a hybrid flow shop scheduling problem

Procedia Manufacturing

2020/1/1

See List of Professors in Marcel Müller University(Otto-von-Guericke-Universität Magdeburg)

Co-Authors

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