Optimization of Production Scheduling and Actual Stock Using Fuzzy Genetic Algorithm

Abstract

In this case, fuzzy is applied as a determination optimization of actual stock. Based on the research that has been done, solving the problem of scheduling and actual stock optimization with Fuzzy Genetic Algorithm method has better performance than non-fuzzy Genetic Algorithm method. Production scheduling with Fuzzy Genetic Algorithm shows faster process result. Seen from the iteration that occurs is 1 (one) for scheduling with Fuzzy while on non fuzzy production scheduling, the process is completed in the iteration to 34. Scheduling with Fuzzy also shows better optimum percentage that is with 100% average while in non fuzzy production scheduling is 97%.

Optimizing the Amount of Production Using Hybrid Fuzzy Logic and Census II

“…In that case, the moment of the modified output area is calculated using Equation (11) and Equation (12). At the same time, the area is calculated using Equation ( 13) and Equation (14).…”

“…Fuzzy methods have been widely used to assist decision-making in various fields, such as analyzing customer satisfaction [12], detecting diseases [13], stock optimization [14][15][16], and determining the amount of production from various business fields. The use of the Fuzzy method to help determine the amount of apparel production is carried out by [11,17,18].…”

Optimasi Penentuan Jumlah Kapal Pengawas Perikanan Di Wilayah Pengelolaan Perikanan – 716 Menggunakan Algoritma Genetika

“…GA adalah algoritma pencarian yang didasarkan atas mekanisme seleksi alami dan evolusi biologis. Kelebihan GA jika dibandingkan dengan algoritma pencarian lainnya adalah: (a) Algoritma ini hanya melakukan sedikit perhitungan matematis yang berhubungan dengan masalah yang ingin diselesaikan, (b) Operator-operator evolusi membuat algoritma ini sangat efektif pada pencarian global, (c) Algoritma ini memiliki fleksibilitas yang tinggi untuk dihibridkan dengan metode pencarian lainnya agar lebih efektif [14], [15].…”