Andrea Kolková
Biographic Data
| ID | 6883045 |
|---|---|
| NAME | Andrea Kolková |
| GIVEN NAMES | Andrea |
| FAMILY NAME | Kolková |
| SIGNATURE | KOLKOVÁ A |
| AFFILIATIONS | VSB - Technical University of Ostrava |
| ORCID | 0000-0002-4764-3164 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Demand forecasting
Demand forecasting is one of the biggest challenges of post-pandemic logistics. It appears that logistics management based on demand prediction can be a suitable alternative to the just-in-time concept. This study aims to identify the effectiveness of AI-based and statistical forecasting models versus practice-based models for SMEs and large enterprises in practice. The study compares the effectiveness of the practice-based Prophet model with the…
Demand forecasting
Research background: Demand forecasting helps companies to anticipate purchases and plan the delivery or production. In order to face this complex problem, many statistical methods, artificial intelligence-based methods, and hybrid methods are currently being developed. However, all these methods have similar problematic issues, including the complexity, long computing time, and the need for high computing performance of the IT infrastructure. Pu…
Demand forecasting
Demand forecasting is one of the biggest challenges of post-pandemic logistics. It appears that logistics management based on demand prediction can be a suitable alternative to the just-in-time concept. This study aims to identify the effectiveness of AI-based and statistical forecasting models versus practice-based models for SMEs and large enterprises in practice. The study compares the effectiveness of the practice-based Prophet model with the…
Demand forecasting
Research background: Demand forecasting helps companies to anticipate purchases and plan the delivery or production. In order to face this complex problem, many statistical methods, artificial intelligence-based methods, and hybrid methods are currently being developed. However, all these methods have similar problematic issues, including the complexity, long computing time, and the need for high computing performance of the IT infrastructure. Pu…
Demand forecasting
Demand forecasting is one of the biggest challenges of post-pandemic logistics. It appears that logistics management based on demand prediction can be a suitable alternative to the just-in-time concept. This study aims to identify the effectiveness of AI-based and statistical forecasting models versus practice-based models for SMEs and large enterprises in practice. The study compares the effectiveness of the practice-based Prophet model with the…
Demand forecasting (2 works) · Forecasting Techniques and Applications (2 works) · Stock Market Forecasting Methods (2 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Computer Science (1 works) · Econometrics (1 works) · Economics (1 works) · Energy Load and Power Forecasting (1 works) · Engineering (1 works)