Production system with respect for variable quantities for an economical electric vehicle production. - Günther Schuh; Achim Kampker; Peter Burggräf; Carsten Nee (IEEM, 2011)

Economie level of detail for assembly planning. - Achim Kampker; Peter Burggräf; Yvonne Baumers (IEEM, 2014)

Cost-benefit analysis for disruption prevention in low-volume assembly. - Peter Burggräf; Johannes Wagner 004; Katrin Lück; Tobias Adlon (Prod. Eng., 2017)

Automation Configuration Evaluation in Adaptive Assembly Systems Based on Worker Satisfaction and Costs. - Peter Burggräf; Matthias Dannapfel; Tobias Adlon; Aaron Riegauf; Jessica Schmied (AHFE (8), 2019)

Enabling Smart Workplaces by Implementing an Adaptive Software Framework. - Peter Burggräf; Achim Kampker; Kai Kreisköther; Tobias Adlon; Aaron Riegauf; Benjamin Dorn; Patricia Casla; Angelo Marguglio; Giuseppe Donvito (AHFE (8), 2019)

Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case. - Peter Burggräf; Johannes Wagner 004; Benjamin Koke; Kailashnath Manoharan (Wirtschaftsinformatik, 2019)

Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs. - Tingni Xu; Anne Bernardy; Matthias Bertling; Peter Burggräf; Volker Stich; Matthias Dannapfel (Wirtschaftsinformatik, 2019)

Approaches for the Prediction of Lead Times in an Engineer to Order Environment - A Systematic Review. - Peter Burggräf; Johannes Wagner 004; Benjamin Koke; Fabian Steinberg (IEEE Access, 2020)

Knowledge-based problem solving in physical product development–A methodological review. - Peter Burggräf; Johannes Wagner 004; Tim Weißer (Expert Syst. Appl. X, 2020)

Towards a Method to Design Production Systems for Fixtureless Production with Component-integrated Fixture Features in Automotive Body Shops. - Falko Fiedler; Georg Bergweiler; Peter Burggräf (IEEM, 2021)

Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems. - Peter Burggräf; Johannes Wagner 004; Benjamin Heinbach (IEEE Access, 2021)

Machine Learning-Based Prediction of Missing Components for Assembly - a Case Study at an Engineer-to-Order Manufacturer. - Peter Burggräf; Johannes Wagner 004; Benjamin Heinbach; Fabian Steinberg (IEEE Access, 2021)

Preferences for Single-Turn vs. Multiturn Voice Dialogs in Automotive Use Cases - Results of an Interactive User Survey in Germany. - Peter Burggräf; Moritz Beyer; Jan-Philip Ganser; Tobias Adlon; Katharina Müller; Constantin Riess; Kaspar Zollner; Till Saßmannshausen; Vincent Kammerer (IEEE Access, 2022)

Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment. - Marius Wenning; Anton Akira Backhaus; Tobias Adlon; Peter Burggräf (J. Intell. Manuf., 2022)

Transforming Food Production: Smart Containers for Sustainable and Transparent Food Supply Chains. - Peter Burggräf; Tobias Adlon; Fabian Steinberg; Jan Salzwedel; Philipp Nettesheim; Henning Tschauder (APMS (4), 2023)

Applications of machine learning in the brewing process: a systematic review. - Philipp Nettesheim; Peter Burggräf; Fabian Steinberg (Discov. Artif. Intell., 2024)

Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes. - Peter Burggräf; Fabian Steinberg; Tim Weißer; Ognjen Radisic-Aberger (Int. J. Prod. Res., 2024)

gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems. - Benjamin Heinbach; Peter Burggräf; Johannes Wagner 004 (Oper. Res. Forum, 2024)

Predicting schedule adherence of engineering changes - a case study on effectivity date adherence prediction using machine learning. - Ognjen Radisic-Aberger; Peter Burggräf; Fabian Steinberg; Alexander Becher; Tim Weißer (Int. J. Prod. Res., 2025)