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All Journal Tibuana : Journal of Applied Industrial Engineering
Ahmad Fikri Ardianto
Universitas Muhammadiyah Sidoarjo

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Scheduling The Production Process Using Genetic Algorithm Method In Optimization Improvement PT. Kemasan Ciptatama Sempurna Ahmad Fikri Ardianto; Tedjo Sukmono
Tibuana Vol 6 No 1 (2023): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.6.1.6198.23-31

Abstract

PT. Kemasan Ciptatama Sempurna is a company engaged in manufacturing styrofoam . In the company concerned, the order system is still manual, where the order process only depends on the order order. This results in a less efficient scheduling system as evidenced by the ineffectiveness of the scheduling system when the number of orders from various consumers place orders simultaneously. The method used in this study uses a Genetic Algorithm approach , by choosing this method in this study it can improve problems in the company so that the scheduling system can run according to the wishes of consumers both in terms of scheduling time that has been agreed with consumers. The results of the research using the Genetic Algorithm method in production using genetic algorithms, the best time in scheduling production capacity is 2699 seconds, this is an increase in the efficiency of the production process as evidenced by the previous production activity process of 3600 seconds (corner production process), thus saving time by 901 seconds as well as the total time of the production process using a jobshop . can be reduced by selecting an alternative in the production jobshop using a genetic algorithm with a value of 0.023 seconds on the 11th chromosome.
Co-Authors Tedjo Sukmono