Digitalization and Adoption of Industry 4.0 in Engineer-to-order Small and Medium-sized Manufacturing Companies: An Empirical Analysis. - Patrick Bründl; Micha Stoidner; Huong Giang Nguyen; Andreas Baechler; Jörg Franke (IEEM, 2023)

Standardizing Process Optimization for Production Processes in the Control Cabinet Industry: A Multiple Case Study. - Micha Stoidner; Patrick Bründl; Huong Giang Nguyen; Andreas Baechler; Jörg Franke (IEEM, 2023)

Workplace Analysis and Ergonomics in Engineer-to-Order Production Sites: A Study on the Workplace Design of Control Cabinet Manufacturing Enterprises. - Micha Stoidner; Patrick Bründl; Huong Giang Nguyen; Andreas Baechler; Jörg Franke (IEEM, 2023)

Challenges and Opportunities of Software-Based Production Planning and Control for Engineer-to-Order Manufacturing. - Patrick Bründl; Micha Stoidner; Huong Giang Nguyen; Andreas Baechler; Jörg Franke (APMS (3), 2023)

Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet Manufacturing. - Micha Stoidner; Patrick Bründl; Huong Giang Nguyen; Andreas Baechler; Jörg Franke (APMS (3), 2023)

Traceability in Engineer-to-Order Manufacturing SMEs. - Patrick Bründl; Micha Stoidner; Huong Giang Nguyen; Ahmad Abrass; Jörg Franke (MED, 2024)

Towards a Reconfigurable Manufacturing System for Control Cabinet Manufacturing: A Systematic Literature Review and Research Agenda. - Micha Stoidner; Patrick Bründl; Huong Giang Nguyen; A. Abrass; Jörg Franke (MED, 2024)

Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly. - Patrick Bründl; Benedikt Scheffler; Micha Stoidner; Huong Nguyen; Andreas Baechler; Ahmad Abrass; Jörg Franke (J. Intell. Manuf., 2024)

Geometric deep learning as an enabler for data consistency and interoperability in manufacturing. - Patrick Bründl; Benedikt Scheffler; Christopher Straub; Micha Stoidner; Huong Giang Nguyen; Jörg Franke (J. Ind. Inf. Integr., 2025)