Using the particle swarm algorithm to build the master production scheduling for some products of Baghdad company of soft drinks
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 comp...
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| Published in | AIP conference proceedings Vol. 3036; no. 1 |
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| Main Authors | , , |
| Format | Journal Article Conference Proceeding |
| Language | English |
| Published |
Melville
American Institute of Physics
15.03.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0094-243X 1935-0465 1551-7616 1551-7616 |
| DOI | 10.1063/5.0196297 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Hamza, Teba S. Mohammed, Nashaat J. Said, Asfad M. |
| Author_xml | – sequence: 1 givenname: Teba S. surname: Hamza fullname: Hamza, Teba S. organization: The Central Technical University, Technical college of management-Baghdad, Department of Business Administration Technologies – sequence: 2 givenname: Asfad M. surname: Said fullname: Said, Asfad M. organization: The Central Technical University, Technical college of management-Baghdad, Department of Business Administration Technologies – sequence: 3 givenname: Nashaat J. surname: Mohammed fullname: Mohammed, Nashaat J. organization: The Central Technical University, Technical college of management-Baghdad, Department of Business Administration Technologies |
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| Editor | Obaid, Ahmed J. Abid, Salah Hamza EIdi, Jaafer Hmood |
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| References | Chen, Lee, Tang (c1) 2022; 31 Katoch, Chauhans, Singh, Kumary (c3) 2021; 80 Srinivas, Deb (c8) 1995; 2 Saini (c7) 2017; 6 |
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| SubjectTerms | Algorithms Particle swarm optimization Production scheduling Soft drinks |
| Title | Using the particle swarm algorithm to build the master production scheduling for some products of Baghdad company of soft drinks |
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