A crow search algorithm for aircraft maintenance check problem and continuous airworthiness maintenance program

• Published in: Jurnal sistem dan manajemen industri (Online) Vol. 3; no. 2; pp. 115 - 123
• Main Authors: Siswanto, Nurhadi, Adianto, Asyraf Nur, Prawira, Hasan Aji, Rusdiansyah, Ahmad
• Format: Journal Article
• Language: English; Indonesian
• Published: Universitas Serang Raya 31.12.2019
• Subjects: aircraft maintenance; crow search algorithm; greedy randomized adaptive search; maintenance scheduling; particle swarm optimization
• ISSN: 2580-2887; 2580-2895
• DOI: 10.30656/jsmi.v3i2.1794

This research discusses the maintenance problem of a small commer­cial aircraft with propeller engine, typed ATR-72. Based on the main­­tenance records, the aircraft has average 294 routine activities that have to be monitored and done based on determined threshold interval. This research focuses on developing a meta­heuristic model to optimize the aircraft’s utility, called Crow Search Algorithm (CSA) to solve the Aircraft Maintenance Problem (AMP). The algorithm is developed and tested  whether a younger meta­heuristic method, CSA, is able to give better performance compar­ed to the older methods, Particle Swarm Optimization (PSO) and other hybri­dized method PSO with Greedy Randomized Adaptive Search Optimization (PSO-GRASP). Several experiments are performed by using parameters: 1000 maximum iteration and 600 maximum computa­tion time by using four dataset combinations. The results show that CSA can give better performance than PSO but worse than PSO-GRASP.