Using the particle swarm algorithm to build the master production scheduling for some products of Baghdad company of soft drinks.

التفاصيل البيبلوغرافية
العنوان: Using the particle swarm algorithm to build the master production scheduling for some products of Baghdad company of soft drinks.
المؤلفون: Hamza, Teba S., Said, Asfad M., Mohammed, Nashaat J.
المصدر: AIP Conference Proceedings; 2024, Vol. 3036 Issue 1, p1-13, 13p
مصطلحات موضوعية: PARTICLE swarm optimization, PRODUCTION scheduling, SOFT drinks, PRODUCTION planning, ALGORITHMS
مستخلص: 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]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:0094243X
DOI:10.1063/5.0196297