Ulrich Thonemann

Ulrich Thonemann

Universität zu Köln

H-index: 35

Europe-Germany

About Ulrich Thonemann

Ulrich Thonemann, With an exceptional h-index of 35 and a recent h-index of 23 (since 2020), a distinguished researcher at Universität zu Köln, specializes in the field of supply chain management, operations management, behavioral operations, inventory management, behavioral operations management.

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

Decision making under service‐level contracts: The role of cost saliency

The periodic review model with independent age‐dependent lifetimes

The value of response time information in supply chain bargaining

Using Machine Learning to Include Planners’ Preferences in Railway Crew Scheduling Optimization

Empirical newsvendor biases: Are target service levels achieved effectively and efficiently?

Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests

The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice

How training on multiple time slices improves performance in churn prediction

Ulrich Thonemann Information

University

Position

___

Citations(all)

5108

Citations(since 2020)

1751

Cited By

4187

hIndex(all)

35

hIndex(since 2020)

23

i10Index(all)

60

i10Index(since 2020)

46

Email

University Profile Page

Universität zu Köln

Google Scholar

View Google Scholar Profile

Ulrich Thonemann Skills & Research Interests

supply chain management

operations management

behavioral operations

inventory management

behavioral operations management

Top articles of Ulrich Thonemann

Title

Journal

Author(s)

Publication Date

Decision making under service‐level contracts: The role of cost saliency

Production and Operations Management

Gary E Bolton

Sabrina Bonzelet

Tobias Stangl

Ulrich W Thonemann

2023/4

The periodic review model with independent age‐dependent lifetimes

Production and Operations Management

Jake Clarkson

Michael A Voelkel

Anna‐Lena Sachs

Ulrich W Thonemann

2023/3

The value of response time information in supply chain bargaining

Manufacturing & Service Operations Management

Fadong Chen

Yingshuai Zhao

Ulrich Thonemann

2023/1

Using Machine Learning to Include Planners’ Preferences in Railway Crew Scheduling Optimization

Transportation Science

Theresa Gattermann-Itschert

Laura Maria Poreschack

Ulrich W Thonemann

2023/5

Empirical newsvendor biases: Are target service levels achieved effectively and efficiently?

Production and Operations Management

Anna‐Lena Sachs

Michael Becker‐Peth

Stefan Minner

Ulrich W Thonemann

2022/4

Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests

Industrial Marketing Management

Theresa Gattermann-Itschert

Ulrich W Thonemann

2022/11/1

The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice

Production and Operations Management

Cedric A Lehmann

Christiane B Haubitz

Andreas Fügener

Ulrich W Thonemann

2022/9

How training on multiple time slices improves performance in churn prediction

European Journal of Operational Research

Theresa Gattermann-Itschert

Ulrich W Thonemann

2021/12/1

Robust tactical crew scheduling under uncertain demand

Transportation Science

Christian Rählmann

Felix Wagener

Ulrich W Thonemann

2021/11

The effect of social preferences on sales and operations planning

Operations Research

Felix Papier

Ulrich W Thonemann

2021/9

How to change a running system—controlling the transition to optimized spare parts inventory policies

Production and Operations Management

Christiane B Haubitz

Ulrich W Thonemann

2021/5

Keep It Mystic?-The Effects of Algorithm Transparency on the Use of Advice.

Cedric Alexander Lehmann

Christiane Haubitz

Andreas Fügener

Ulrich W Thonemann

2020

Railway crew scheduling with semi-flexible timetables

OR Spectrum

Christian Rählmann

Ulrich W Thonemann

2020/12

Railway Crew Rescheduling with Flexible Start and End Times

Felix Wagener

Ulrich W Thonemann

2020/3/18

An aggregation-based approximate dynamic programming approach for the periodic review model with random yield

European Journal of Operational Research

Michael A Voelkel

Anna-Lena Sachs

Ulrich W Thonemann

2020/3/1

Determining optimal parameters for expediting policies under service level constraints

European Journal of Operational Research

Simon J Höller

Raik Özsen

Ulrich W Thonemann

2020/3/1

Project Portfolio Selection with Strategic Buckets-The Role of Naive Diversification

Andreas Fügener

Sebastian Schiffels

U Thoneman

2020

See List of Professors in Ulrich Thonemann University(Universität zu Köln)

Co-Authors

H-index: 50
Axel Ockenfels

Axel Ockenfels

Universität zu Köln

H-index: 46
Stefan Minner

Stefan Minner

Technische Universität München

H-index: 45
Diego Klabjan

Diego Klabjan

North Western University

H-index: 40
Warren Hausman

Warren Hausman

Stanford University

H-index: 30
Gerhard Schewe

Gerhard Schewe

Westfälische Wilhelms-Universität Münster

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