OPTIMASI JADWAL PRODUKSI MENGGUNAKAN ALGORITMA GENETIKA PADA INDUSTRI SEMEN

Authors

  • Puput Setianah Universitas Al-Khairiyah
  • Azhari Universitas Al-Khairiyah

Abstract

The cement industry is one of the important industries in infrastructure development. Production schedule optimisation in the cement industry is very important to improve efficiency and productivity. Genetic algorithm (GA) is one of the optimisation methods that can be used to solve complex production scheduling problems. This research aims to optimise the production schedule in the cement industry using genetic algorithm. The genetic algorithm is implemented to produce a production schedule that minimises makespan (the completion time of all jobs) and maximises throughput (the number of products produced). Actual production data from the cement industry is used to evaluate the performance of the genetic algorithm. The results show that the genetic algorithm can generate a more optimal production schedule compared to the traditional method. Genetic algorithm can reduce makespan by 10% and increase throughput by 5%. This research shows that genetic algorithm is an effective method to optimise production schedule in cement industry. Genetic algorithm can help the cement industry to increase efficiency, productivity, and profit.

 

Keywords : Schedule Optimisation, Cement Industry, Genetic Algorithm, Production Efficiency, Production Output.

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Published

2024-07-29

How to Cite

Puput Setianah, & Azhari. (2024). OPTIMASI JADWAL PRODUKSI MENGGUNAKAN ALGORITMA GENETIKA PADA INDUSTRI SEMEN. Sisprotek, 2(02), 14–17. Retrieved from https://ejurnal.unival-cilegon.ac.id/index.php/sisprotek/article/view/273