Penyeimbangan Lintasan Produksi dengan Pendekatan Fuzzy Menggunakan Metode Algoritma Bee Colony

Abstract

The purpose of track balance is to find out the obstacles that cause the work station to be unbalanced. Research on plastic chopper products, where the production of plastic chopping equipment takes too long in the process of making one product. Improvement of the production line using Ranked Position Weight, fuzzy and Bee Colony algorithms. The Helgeson-Birnie method is usually better known as the Ranked Positional Weight System or RPW system. Processing of tasks is fuzzy and aims to maximize line efficiency, thereby, simultaneously minimizing the number of work stations and cycle time of the line. The artificial bee colony algorithm is one of the optimization algorithms. Artificial bee colony optimization is a global optimization algorithm, requiring only three user-defined control parameters (population size, maximum number of cycles and limit). Each rule in the fuzzy knowledge base will be associated with a fuzzy relation, with the equation IF x is A THEN. The Bee Colony Algorithm production path gives better results than the actual production path because the Efficiency value is greater and the Balance delay value is smaller. In the Ranked Position Weight results there are 6 work stations, the efficiency value is 90.02%, the balance delay is 9.97% and the Smoothing Index is 628.204, while in the Bee Colony Algorithm there are 6 work stations, the efficiency value is 92.56%, the balance delay is 7.43% and Smoothing Index 456,136.