Daniel Kiefer
Orcid: 0000-0003-2575-9390
According to our database1,
Daniel Kiefer
authored at least 10 papers
between 2020 and 2023.
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Bibliography
2023
Practice Summary: GE Optimizes for Aircraft Engine Overhaul Scheduling and Shop Assignment.
INFORMS J. Appl. Anal., 2023
2022
The Time has Come - Application of Artificial Intelligence in Small- and Medium-Sized Enterprises.
Proceedings of the WI for Grand Challenges, 2022
Artificial Intelligence in Supply Chain Management: Investigation of Transfer Learning to Improve Demand Forecasting of Intermittent Time Series with Deep Learning.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
2021
Proceedings of the Innovation durch Informationssysteme, 2021
Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics.
Proceedings of the Human Centred Intelligent Systems, 2021
Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually.
Proceedings of the Human Centred Intelligent Systems, 2021
Digital Skills of Procurement Employees and Their Attitudes Toward Digital Technologies.
Proceedings of the Human Centred Intelligent Systems, 2021
Sales Forecasting Under Economic Crisis: A Case Study of the Impact of the COVID19 Crisis to the Predictability of Sales of a Medium-Sized Enterprise.
Proceedings of the Human Centred Intelligent Systems, 2021
Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
2020
Proceedings of the 26th Americas Conference on Information Systems, 2020