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Wyszukujesz frazę "production process scheduling" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Scheduling of the Manufacturing Cell Work with the Use of a Genetic Algorithm on the Example of a Flexible Production System
Autorzy:
Matuszny, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/2201163.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
production planning
production control
production scheduling
genetic algorithm
production engineering
production process
Opis:
The article is to present the application of genetic algorithm in production scheduling in a production company. In the research work the assumptions of the methodology were described and the operation of the proposed genetic algorithm was presented in details. Genetic algorithms are useful in complex large scale combinatorial optimisation tasks and in the engineering tasks with numerous limitations in the production engineering. Moreover, they are more reliable than the existing direct search algorithms. The research is focused on the effectivity improvement and on the methodology of scheduling of a manufacturing cell work. The genetic algorithm used in the work appeared to be robust and fast in finding accurate solutions. It was shown by experiment that using this method enables obtaining schedules suitable for a model. It gives a group of solutions that are at least as good as those created by the heuristic rules.
Źródło:
Management and Production Engineering Review; 2022, 13, 4; 98--106
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modified Resource-Constrained Project Scheduling to minimize idle time for Banbury mixing process: a case study in the tire manufacturing industry
Autorzy:
Butrat, Anan
Supsomboon, Srisawat
Powiązania:
https://bibliotekanauki.pl/articles/27315567.pdf
Data publikacji:
2023
Wydawca:
STE GROUP
Tematy:
RCPS
natural aging process
idle time
production scheduling
Banbury mixing process
Opis:
The Banbury mixing process (BMP) is to supplies the specific characteristic compounds for the tire manufacturing process. Idle time in the BMP was a problem caused by the aging process between mixing steps and the limited space for processing, measured in pallets. In this study, the resource-constrained project scheduling model (RCPS) is modified in case of the objective function and the input value of resource constraint to minimize idle time (SST). The complete minimization (Cmax) is changed from minimizing the starting time of the last job to the starting time of all jobs. In addition, the non-limited resource is defined as the input for the space capacity to reduce the idle time. As the results, the SST can provide the schedule that make less 5 time periods of idle time. Moreover, when considering the relationship between mixing and aging, aging process that is scheduled from SST starts immediately comparison to Cmax that some of aging process are not. Furthermore, the effect of the quantity of pallets was also examined. Although the non-limited resource does not make any delay to the schedule but the limited quantity is not. When pallets are limited, aging jobs were significantly impacted, with the last aging pallet being delayed. To reduce delays, it prepares an adequate supply of pallets that is close to or equal to its requirement that is defined by the non-limited resource. Further research combining the scheduling of the BMP with the tire manufacturing process and more techniques to modify RCPS are applied.
Źródło:
Management Systems in Production Engineering; 2023, 3 (31); 263--270
2299-0461
Pojawia się w:
Management Systems in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie logiki rozmytej do szeregowania zleceń produkcyjnych
Application of fuzzy logic for scheduling production orders
Autorzy:
Jardzioch, Andrzej
Witkowska, Weronika
Powiązania:
https://bibliotekanauki.pl/articles/37175311.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Zarządzania Produkcją
Tematy:
production process
production scheduling
minimal costs of delays
proces produkcji
harmonogramowanie produkcji
minimalne koszty przezbrojenia
Opis:
The article presents an algorithm that allows using fuzzy logic to determine the effective arrangement of production orders in the production system. The main criterion used to rate was the total cost related to delayed implementation of production orders. In addition, the sum of delays of all orders and the total time of order execution were assessed. The elaborated algorithm uses fuzzy inference and allows us to estimate dynamically the effectiveness of selecting the next order from orders awaiting execution. As a result, the computational complexity of the proposed algorithm is linear. The research was conducted to assess the usefulness of the proposed algorithm. To illustrate the possibilities of the proposed algorithm, the obtained rankings were compared with those obtained using typical heuristic rules (FIFO, EDD, Johnson’s algorithm, and min changeover time). The obtained results confirmed the benefits of the proposed algorithm for scheduling production orders. The developed algorithm was implemented in Matlab and research was carried out for different series of production orders.
Źródło:
Zarządzanie Przedsiębiorstwem; 2022, 25, 3-4; 15-20
1643-4773
Pojawia się w:
Zarządzanie Przedsiębiorstwem
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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