| Earned Green Value management for project management: A systematic review B Koke, RC Moehler Journal of Cleaner Production 230, 180-197, 2019 | 81 | 2019 |
| Artificial intelligence in production management: A review of the current state of affairs and research trends in academia P Burggräf, J Wagner, B Koke 2018 international conference on information management and processing …, 2018 | 54 | 2018 |
| Approaches for the prediction of lead times in an engineer to order environment—A systematic review P Burggräf, J Wagner, B Koke, F Steinberg IEEE Access 8, 142434-142445, 2020 | 31 | 2020 |
| Bibliometric study on the use of machine learning as resolution technique for facility layout problems P Burggraef, J Wagner, B Heinbach IEEE Access 9, 22569-22586, 2021 | 20 | 2021 |
| Performance assessment methodology for AI-supported decision-making in production management P Burggräf, J Wagner, B Koke, M Bamberg Procedia CIRP 93, 891-896, 2020 | 20 | 2020 |
| Automation decisions in flow-line assembly systems based on a cost-benefit analysis P Burggräf, J Wagner, M Dannapfel, S Fluchs, K Müller, B Koke Procedia CIRP 81, 529-534, 2019 | 12 | 2019 |
| Predictive analytics in quality assurance for assembly processes: lessons learned from a case study at an industry 4.0 demonstration cell P Burggräf, J Wagner, B Heinbach, F Steinberg, L Schmallenbach, ... Procedia CIRP 104, 641-646, 2021 | 9 | 2021 |
| Machine learning-based prediction of missing components for assembly–a case study at an engineer-to-order manufacturer P Burggräf, J Wagner, B Heinbach, F Steinberg IEEE Access 9, 105926-105938, 2021 | 8 | 2021 |
| Design of a methodological framework for adaptive remanufacturing-based business models P Burggräf, J Wagner, B Heinbach, M Wigger Procedia CIRP 98, 547-552, 2021 | 8 | 2021 |
| Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case P Burggräf, J Wagner, B Koke, K Manoharan | 8 | 2019 |
| A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry F Steinberg, P Burggräf, J Wagner, B Heinbach, T Saßmannshausen, ... Supply Chain Analytics 1, 100003, 2023 | 4 | 2023 |
| Life cycle assessment for adaptive remanufacturing: incorporating ecological considerations into the planning of maintenance activities–a case study in the German heavy … P Burggräf, J Wagner, F Steinberg, B Heinbach, M Wigger, ... Procedia CIRP 105, 320-325, 2022 | 4 | 2022 |
| Impact of material data in assembly delay prediction—a machine learning-based case study in machinery industry F Steinberg, P Burggaef, J Wagner, B Heinbach The International Journal of Advanced Manufacturing Technology 120 (1), 1333 …, 2022 | 3 | 2022 |
| Reinforcement learning for process time optimization in an assembly process utilizing an industry 4.0 demonstration cell P Burggräf, F Steinberg, B Heinbach, M Bamberg Procedia CIRP 107, 1095-1100, 2022 | 3 | 2022 |
| gym-flp: A python package for training reinforcement learning algorithms on facility layout problems B Heinbach, P Burggräf, J Wagner Operations Research Forum 5 (1), 20, 2024 | 1 | 2024 |
| Deep reinforcement learning for layout planning–An MDP-based approach for the facility layout problem B Heinbach, P Burggräf, J Wagner Manufacturing Letters 38, 40-43, 2023 | 1 | 2023 |
| “ReLIFE”: Business Models for Data-Based Remanufacturing: Adaptive Remanufacturing for Life Cycle Optimisation of Networked Capital Goods P Burggräf, M Dannapfel, J Wagner, B Heinbach, N Föhlisch, ... The Monetization of Technical Data: Innovations from Industry and Research …, 2023 | | 2023 |
| Machine learning-based prediction of missing components for assembly-a case study at an engineer-to-order manufacturer F Steinberg, P Burggräf, J Wagner, B Heinbach | | 2021 |
| „ReLIFE “: Geschäftsmodelle zum datenbasierten Remanufacturing: Adaptives Remanufacturing zur Lebenszyklusoptimierung vernetzter Investitionsgüter P Burggräf, M Dannapfel, J Wagner, B Heinbach, N Föhlisch, ... Monetarisierung von technischen Daten: Innovationen aus Industrie und …, 2021 | | 2021 |
| Survey based dataset on automation decisions for assembly systems in Germany P Burggräf, J Wagner, M Dannapfel, S Fluchs, K Müller, B Koke Data in Brief 31, 105782, 2020 | | 2020 |
