Podrobná bibliografia
| Názov: |
Using the particle swarm algorithm to build the master production scheduling for some products of Baghdad company of soft drinks. |
| Autori: |
Hamza, Teba S., Said, Asfad M., Mohammed, Nashaat J. |
| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3036 Issue 1, p1-13, 13p |
| Predmety: |
PARTICLE swarm optimization, PRODUCTION scheduling, SOFT drinks, PRODUCTION planning, ALGORITHMS |
| Abstrakt: |
The master production scheduling (MPS) is the attachment between planning and manufacturing, being applied as the ground for defining the capacity and resources wanted to obtain production plans. Here we used the particle swarm optimization algorithm (PSO) to get MPS for two products of Baghdad company of soft drinks. a python code is used in calculation aspects. The results obtained using the particle swarm optimization algorithms were compared with the results obtained according to the mechanisms of the Baghdad Company for soft drinks. The results showed a clear superiority in favour of the particle algorithm. [ABSTRACT FROM AUTHOR] |
|
Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
Complementary Index |
Nájsť tento článok vo Web of Science