MITS5509 Report: Genetic Algorithm for Machine Maintenance

This report analyzes the research paper "Application of genetic algorithm method on machine maintenance" by D S Donoriyanto et al. (2018), focusing on the use of genetic algorithms to optimize maintenance schedules. The study investigates the application of genetic algorithms to solve maintenance scheduling challenges at PT. Karyamitra Budisentosa, a shoe manufacturing company. The paper details the methods used, including the background of genetic algorithms, their application in machine maintenance, and the processes involved, such as fitness value testing, crossover, and mutation. The report discusses the benefits of planned maintenance and the working of genetic algorithms. The paper concludes that the genetic algorithm method can determine the optimal schedule for Hell Nailing machine maintenance, improving efficiency and reducing downtime. The report also references related literature and highlights the significance of the research in the context of intelligent systems and its potential for recommending models for future maintenance operations.