Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach. - Torsten Hildebrandt; Jens Heger; Bernd Scholz-Reiter (GECCO, 2010)

Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques. - Bernd Scholz-Reiter; Jens Heger; Torsten Hildebrandt (ICDM Workshops, 2010)

Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness. - Christoph W. Pickardt; Jürgen Branke; Torsten Hildebrandt; Jens Heger; Bernd Scholz-Reiter (WSC, 2010)

Dispatching rule selection with Gaussian processes. - Jens Heger; Torsten Hildebrandt; Bernd Scholz-Reiter (Central Eur. J. Oper. Res., 2015)

Optimal Scheduling for Automated Guided Vehicles (AGV) in Blocking Job-Shops. - Jens Heger; Thomas Voß (APMS (1), 2017)

Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup. - Felix Kortmann; Henning Peitzmeier; Nicolas Meier; Jens Heger; Paul Drews (IEEE SENSORS, 2019)

Simulation Based Optimization of Lot Sizes for Opposing Logistic Objectives. - Janine Tatjana Maier; Thomas Voß; Jens Heger; Matthias Schmidt 003 (APMS (2), 2019)

Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN. - Felix Kortmann; Kevin Talits; Pascal Fassmeyer; Alexander Warnecke; Nicolas Meier; Jens Heger; Paul Drews; Burkhardt Funk (IEEE BigData, 2020)

Live Demonstration: Passive Sensor Setup for Road Condition Monitoring. - Felix Kortmann; Julin Horstkötter; Alexander Warnecke; Nicolas Meier; Jens Heger; Burkhardt Funk; Paul Drews (IEEE SENSORS, 2020)

Creating Value from in-Vehicle Data: Detecting Road Surfaces and Road Hazards. - Felix Kortmann; Yi-Chen Hsu; Alexander Warnecke; Nicolas Meier; Jens Heger; Burkhardt Funk; Paul Drews (ITSC, 2020)

Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor. - Felix Kortmann; Malte Rodeheger; Alexander Warnecke; Nicolas Meier; Jens Heger; Burkhardt Funk; Paul Drews (VTC Fall, 2020)

Dynamically Changing Sequencing Rules with Reinforcement Learning in a Job Shop System With Stochastic Influences. - Jens Heger; Thomas Voß (WSC, 2020)

Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System. - Thomas Voß; Jens Heger; Mazhar Zein El Abdine (Simul. Notes Eur., 2022)

Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning. - Jens Heger; Thomas Voß (Int. J. Prod. Res., 2023)

The Impact of AGVs and Priority Rules in a Real Production Setup - A Simulation Study. - Kristin Müller; Annabell Andrew; Jens Heger (LDIC, 2024)

Simulation-based Investigation of Energy Flexibility in the Optimization of Hinterland Drainage. - Marvin Hempel; Jens Heger (Simul. Notes Eur., 2024)

Towards Fashion Renting: Identification Of Influencing Factors For Consumer Behavior. - Djonathan Quadras; Kristin Müller; Fabiana Pirola; Jens Heger; Virginia Fani; Romeo Bandinelli (ECMS, 2025)