Szczegóły publikacji
Opis bibliograficzny
Expert system based support to sandwich pallet loading problem in the FMCG distribution company / Piotr Sawicki, Hanna Sawicka, Marek KARKULA, Krzysztof Zajda // W: CLC 2023 [Dokument elektroniczny] : 11th Carpathian Logistics Congress : logistics & supply chain management : November 8-10, 2023, Prague, Czech Republic : conference proceedings. — Wersja do Windows. — Dane tekstowe. — Ostrava : TANGER Ltd., cop. 2024. — (CLC... (Conference Proceedings...) ; ISSN 2694-9318). — e-ISBN: 978-80-88365-17-4. — S. 149-154. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 154, Abstr. — Publikacja dostępna online od: 2024-04-10
Autorzy (4)
- Sawicki Piotr
- Sawicka Hanna
- AGHKarkula Marek
- Zajda Krzysztof
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 154526 |
|---|---|
| Data dodania do BaDAP | 2024-07-18 |
| Tekst źródłowy | URL |
| DOI | 10.37904/clc.2023.4863 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | CLC... (Conference Proceedings...) |
Abstract
This paper presents a multi-pallet loading problem, assuming that products are heterogenous, and pallet loading units can be stacked creating sandwich (SNDW) loading units. The research task is to support the optimal composition of products on pallet units using the available space at the maximum level, and fulfilling the constraints, such as the maximum weight, height and stability of multi-pallet units. The aim of the research is to create the minimum number of SNDW pallets under the specific constraints of multi-pallets, products and a distribution process. The paper discusses the procedure for creating SNDW pallets with the application of simulation-based approach enriched with an original knowledge exploration procedure using Dominance-based Rough Sets Theory (DRST) and resulted rules generation. A simulation environment has been applied to verify the proposed approach, and its implementation has been carried out in a distribution company from the FMCG industry. The computational experiments have been carried out on a set of 700 picking orders. On that basis a set of decision rules has been created and used to evaluate new picking orders resulting in 83% effectiveness of their classification for potential improvement within multi-pallet loading process.
