Szczegóły publikacji
Opis bibliograficzny
Prescriptive analytics for optimization of FMCG delivery plans / Marek Grzegorowski, Andrzej Janusz, Stanisław ŁAŻEWSKI, Maciej Świechowski, Monika Jankowska // W: IPMU 2022 : Information Processing and Management of Uncertainty in knowledge-based systems : 19th international conference : Milan, Italy, July 11–15, 2022 : proceedings, Pt. 2 / eds. Davide Ciucci, [et al.]. — Switzerland : Springer, cop. 2022. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; 1602). — ISBN: 978-3-031-08973-2; e-ISBN: 978-3-031-08974-9. — S. 44–53. — Bibliogr., Abstr. — Publikacja dostępna online od: 2022-07-04. — S. Łażewski – dod. afiliacja: QED Software Sp. z o. o
Autorzy (5)
- Grzegorowski Marek
- Janusz Andrzej
- AGHŁażewski Stanisław
- Świechowski Maciej
- Jankowska Monika
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 151936 |
|---|---|
| Data dodania do BaDAP | 2024-03-28 |
| DOI | 10.1007/978-3-031-08974-9_4 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Information Processing and Management of Uncertainty 2022 |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
Where the predictive analysis answers the question of what is going to happen, the prescriptive analytics aims at indicating how we can make something happen. In this paper, we propose a prescriptive framework for optimizing sales and profits of companies operating in the fast-moving consumer goods (FMCG) market. We discuss the key aspects of the framework and demonstrate its effectiveness in a series of experiments on real-world data. We compare results obtained for two different optimization heuristics (i.e., hill climbing and simulated annealing) and investigate a possibility to support the product delivery planning process by providing experts with several diverse recommendations. We argue that our solution is in line with the idea of Industry 5.0 and can provide significant value to the FMCG industry.
