Autonomous Control of a Shop Floor Based on Bee's Foraging Behaviour. - Bernd Scholz-Reiter; Thomas Jagalski; Julia C. Bendul (LDIC, 2007)

Invariant-Based Production Control Reviewed: Mixing Hierarchical and Heterarchical Control in Flexible Job Shop Environments. - Henning Blunck; Julia C. Bendul (HoloMAS, 2015)

The Influence of Manufacturing System Characteristics on the Emergence of Logistics Synchronization: A Simulation Study. - Stanislav M. Chankov; Giovanni Malloy; Julia C. Bendul (LDIC, 2016)

Frugal and Lean Engineering: A Critical Comparison and Implications for Logistics Processes. - Eugenia Rosca; Julia C. Bendul (LDIC, 2016)

Application Potential of Multidimensional Scaling for the Design of DSS in Transport Insurance. - Victor Vican; Ciprian Blindu; Alexey Fofonov; Marta Ucinska; Julia C. Bendul; Lars Linsen (LDIC, 2016)

Exploring the Design Space for Myopia-Avoiding Distributed Control Systems Using a Classification Model. - Tianyi Wang; Henning Blunck; Julia C. Bendul (SOHOMA, 2016)

The human factor in production planning and control: considering human needs in computer aided decision-support systems. - Julia C. Bendul; Mathias Knollman (Int. J. Manuf. Technol. Manag., 2016)

The balance of autonomous and centralized control in scheduling problems. - Henning Blunck; Dieter Armbruster; Julia C. Bendul; Marc-Thorsten Hütt (Appl. Netw. Sci., 2018)

Setting production capacities for production agents making selfish routing decisions. - Henning Blunck; Dieter Armbruster; Julia C. Bendul (Int. J. Comput. Integr. Manuf., 2018)

Influencing factors of synchronization in manufacturing systems. - Stanislav M. Chankov; Marc-Thorsten Hütt; Julia C. Bendul (Int. J. Prod. Res., 2018)

Integration of global manufacturing networks and supply chains: a cross case comparison of six global automotive manufacturers. - Toni Erfurth; Julia C. Bendul (Int. J. Prod. Res., 2018)

Understanding the Influence of Cognitive Biases in Production Planning and Control. - Julia C. Bendul; Melanie Zahner (IHSED, 2019)

Decision Making in Industry 4.0 - A Comparison of Distributed Control Approaches. - Oliver Antons; Julia C. Bendul (SOHOMA, 2019)

An Improved Production Planning Approach Under the Consideration of Production Order Interdependencies. - Julia C. Bendul; Victor Vican; Marc-Thorsten Hütt (SOHOMA, 2019)

The design space of production planning and control for industry 4.0. - Julia C. Bendul; Henning Blunck (Comput. Ind., 2019)

Inclusive operations at the base of the pyramid: sustainable value creation for mitigating social exclusion. - Julia C. Arlinghaus; Eugenia Rosca (Logist. Res., 2019)

Learning Distributed Control for Job Shops - A Comparative Simulation Study. - Oliver Antons; Julia C. Arlinghaus (SOHOMA, 2020)

Smarter Relationships? The Present and Future Scope of AI Application in Buyer-Supplier Relationships. - Anna-Maria Nitsche; Markus Burger; Julia C. Arlinghaus; Christian-Andreas Schumann; Bogdan Franczyk (ICCL, 2021)

Risk Assessment and Mitigation for Industry 4.0: Implementation of a Digital Risk Quick Check. - Julia C. Arlinghaus; Falko Bendik (APMS (1), 2021)

Exploring Interdependency Effects of Production Orders as Central Impact Factors of Logistics Performance in Manufacturing Systems. - Victor Vican; Julia C. Arlinghaus (APMS (1), 2021)

Machine Learning and Autonomous Control - A Synergy for Manufacturing. - Oliver Antons; Julia C. Arlinghaus (SOHOMA, 2021)

Maturity Evaluation for Workforce Management. An Integrated Approach to Assess Digital Maturity of Workforce Management Systems. - Sebastian Häberer; Julia C. Arlinghaus (SOHOMA, 2021)

Frugal Processes: An Empirical Investigation Into the Operations of Resource-Constrained Firms. - Stephanie Knizkov; Julia C. Arlinghaus (IEEE Trans. Engineering Management, 2021)

Data-driven and autonomous manufacturing control in cyber-physical production systems. - Oliver Antons; Julia C. Arlinghaus (Comput. Ind., 2022)

Distributing decision-making authority in manufacturing - review and roadmap for the factory of the future. - Oliver Antons; Julia C. Arlinghaus (Int. J. Prod. Res., 2022)

Productive teaming under uncertainty: when a human and a machine classify objects together. - Anne Rother; Gunther Notni; Alexander Hasse; Benjamin Noack; Christian Beyer; Jan Reißmann; Chen Zhang; Marco Ragni; Julia C. Arlinghaus; Myra Spiliopoulou (ARSO, 2023)

A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms. - Tobias Benecke; Oliver Antons; Sanaz Mostaghim; Julia C. Arlinghaus (GECCO Companion, 2023)

Artificial Intelligence meets Serious Gaming. - Maria Freese; Birgit Zürn; Julia C. Arlinghaus (GI-Jahrestagung, 2023)

Characterizing Circular and Open Business Models in a profit-driven environment through Business Model Patterns. - Anna-Kristin Behnert; Oliver Antons; Julia C. Arlinghaus (ISM, 2023)

Challenges of Quality Assurance in Early Planning and Ramp Up of Production Facilities - Potentials of Planning Automation via Virtual Engineering. - Luca Janecki; Daniel Reh; Julia C. Arlinghaus (ISM, 2023)

Interactions between planners' and PPC systems: Derivation of simulation scenarios with consideration of cognitive bias and disruptions. - Patrick Rannertshauser; Oliver Antons; Julia C. Arlinghaus (ISM, 2023)

Sustainability in Chemical Production - Multi-Objective Distributed Control. - Oliver Antons; Tobias Benecke; Sanaz Mostaghim; Julia C. Arlinghaus (SoMeT, 2023)

Hybrid intelligence in procurement: Disillusionment with AI's superiority? - Markus Burger; Anna-Maria Nitsche; Julia C. Arlinghaus (Comput. Ind., 2023)

Comparing Digital Twins and Virtual Engineering in Buyer Supplier Relationships for Complex Production Facilities. - Luca Janecki; Oliver Antons; Daniel Reh; Julia C. Arlinghaus (APMS (6), 2024)

A Literature Review on the Cross-Domain Usage of Digital Factory Twins Within Design Time. - Adrian Schröder; Oliver Antons; Julia C. Arlinghaus (APMS (3), 2024)

Industrial Data Space Research - An Overview. - Mathias Vorbröcker; Oliver Antons; Julia C. Arlinghaus (SOHOMA, 2024)

Automated disassembly of e-waste - requirements on modeling of processes and product states. - José F. Saenz; Torsten Felsch; Christoph Walter; Tim König; Olaf Poenicke; Eric Bayrhammer; Mathias Vorbröcker; Dirk Berndt; Norbert Elkmann; Julia C. Arlinghaus (Frontiers Robotics AI, 2024)

Offering Subscriptions of Industrial Goods: Uncertain Experiment or Necessary Step? - Markus Burger; Andreas Krüger; Nils Burgmann; Julia C. Arlinghaus (IEEE Trans. Engineering Management, 2024)

Designing distributed decision-making authorities for smart factories - understanding the role of manufacturing network architecture. - Oliver Antons; Julia C. Arlinghaus (Int. J. Prod. Res., 2024)