APA (7th ed.) Citation

Radišić-Aberger, O., Burggräf, P., Steinberg, F., Becher, A., & Weißer, T. (2024). Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques. Supply Chain Analytics, 8, 100087. https://doi.org/10.1016/j.sca.2024.100087

Chicago Style (17th ed.) Citation

Radišić-Aberger, Ognjen, Peter Burggräf, Fabian Steinberg, Alexander Becher, and Tim Weißer. "Evaluating Early Predictive Performance of Machine Learning Approaches for Engineering Change Schedule – A Case Study Using Predictive Process Monitoring Techniques." Supply Chain Analytics 8 (2024): 100087. https://doi.org/10.1016/j.sca.2024.100087.

MLA (9th ed.) Citation

Radišić-Aberger, Ognjen, et al. "Evaluating Early Predictive Performance of Machine Learning Approaches for Engineering Change Schedule – A Case Study Using Predictive Process Monitoring Techniques." Supply Chain Analytics, vol. 8, 2024, p. 100087, https://doi.org/10.1016/j.sca.2024.100087.