Heuristic-Based Algorithm for Suboptimal Scheduling Realized in Hybrid Production Environment
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Danilczuk Wojciech, Gola Arkadiusz, Pizoń Jakub |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 213 - 226 |
| Web of Science® Times Cited: | 0 |
| Scopus® Cytowania: | 0 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 8th International Scientific-Technical Conference MANUFACTURING 2024 |
| Skrócona nazwa konferencji: | MANUFACTURING 2024 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 14 maja 2024 do 16 maja 2024 |
| Miasto konferencji: | Poznań |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The article presents the developed heuristic-based scheduling algorithm dedicated for MTO-MTS hybrid production. The developed algorithm allows to maximize the machines load by production tasks taking into account economic and organizational conditions such as the materials availability, costs of storage, the value of frozen funds and the probability of selling or using a given part in the production process while meeting deadlines for the implementation of production tasks resulting from customer orders. In order to verify the proposed solution, a number of experiments were carried out, both using real data from a manufacturing company from the automotive industry as well as simulation data. The obtained results confirmed the thesis, and based on the experiments, conclusions were drawn about the effectiveness of the proposed method. |
