Optimization of Production Scheduling and Actual Stock Using Fuzzy Genetic Algorithm
Cut Try Utari, Muhammad Zarlis, Sutarman Sutarman · Journal of Physics Conference Series · 2019
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%.