Optimasi Keseimbangan Lintasan Produksi dengan Pendekatan Ranked Positional Weight (RPW) dan Algoritma Ant Colony Optimization (ACO) pada Kurnia Steel

Abstract

PT Kurnia Steel is a private company with a focus on producing various types of furniture, one of the leading furniture products is cafe chairs. On the production floor, there are 7 work stations and bottlenecks were found in the welding and painting work centers identified based on the inequality of cycle time between work stations and there is a buildup of semi-finished goods at both stations due to the variability of work elements that are not followed by a balanced distribution of work elements at each work station. The research was conducted with the aim of improving the balance of the production trajectory with the Ranked Positional Weight (RPW) method and the Ant Colony Optimization (ACO) algorithm. Data collection was carried out by measuring the time of each work element directly and repetitively. Data sufficiency and uniformity tests were conducted on the cycle time of each work element and it was found that the data collected was sufficient and uniform. Trajectory balance with the Ranked Positional Weight method organizes the trajectory into 6 work stations with an efficiency value of 35.84%, balance delay 64.16%, and smoothing index 3,112.72. Trajectory balance with Ant Colony Optimization Algorithm arranges the trajectory into 5 work stations with an efficiency value of 43.01%, balance delay 56.99%, smoothing index 2,440.6325. The Ant Colony Optimization Algorithm trajectory is the selected proposal because it produces better performance parameter values after considering precedence and zoning constraints.