@article{Siswanto_Adianto_Prawira_Rusdiansyah_2019, title={A crow search algorithm for aircraft maintenance check problem and continuous airworthiness maintenance program}, volume={3}, url={https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/1794}, DOI={10.30656/jsmi.v3i2.1794}, abstractNote={<p>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.</p&gt;}, number={2}, journal={Jurnal Sistem dan Manajemen Industri}, author={Siswanto, Nurhadi and Adianto, Asyraf Nur and Prawira, Hasan Aji and Rusdiansyah, Ahmad}, year={2019}, month={Dec.}, pages={115-123} }