Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025

Optimasi Penjadwalan Produksi dengan Jaringan Syaraf Tiruan dan Algoritma Genetika

Siregar, Dzilhulaifa (Unknown)
Sofinah Harahap, Lailan (Unknown)
Fadlan Alamsyah, Muhammad (Unknown)

Article Info

Publish Date
07 Nov 2024

Abstract

Optimal production scheduling is essential to improve operational efficiency in the manufacturing industry. This study proposes a combination of Neural Networks (NN) and Genetic Algorithms (GA) to solve production scheduling problems. NN is used to predict processing time based on historical data, while GA optimizes the production sequence to minimize idle time and increase throughput. Simulation results show that this combined method provides a more efficient scheduling solution compared to conventional methods.

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Journal Info
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Website

Abbrev

mister

Publisher

Universitas Serambi Mekkah Aceh

Subject

Humanities Economics, Econometrics & Finance Education Social Sciences Other

Description

The Journal of MISTER (Jurnal Penelitian Multidisiplin dalam Ilmu Pengetahuan, Teknologi dan Pendidikan) focuses on publishing manuscripts of any research (multidisciplinary) within the following areas Education, Economics, Social Sciences, Technology, Engineering, Arts, Law & Ethics, Psychology, ...