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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Bibliographic Details
Published inAIP conference proceedings Vol. 3036; no. 1
Main Authors Hamza, Teba S., Said, Asfad M., Mohammed, Nashaat J.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Melville American Institute of Physics 15.03.2024
Subjects
Algorithms
Particle swarm optimization
Production scheduling
Soft drinks
Online AccessGet full text
ISSN0094-243X
1935-0465
1551-7616
1551-7616
DOI10.1063/5.0196297

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Summary: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.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:0094-243X
1935-0465
1551-7616
1551-7616
DOI:10.1063/5.0196297