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

  • Nurhadi Siswanto Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember (ITS) Surabaya
  • Asyraf Nur Adianto Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember (ITS) Surabaya
  • Hasan Aji Prawira Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember (ITS) Surabaya
  • Ahmad Rusdiansyah Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember (ITS) Surabaya
Abstract views: 518 , PDF downloads: 9224
Keywords: Aircraft Maintenance, Crow Search Algorithm, Greedy Randomized Adaptive Search, Maintenance Scheduling, Particle Swarm Optimization

Abstract

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.

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Published
2019-12-31
How to Cite
[1]
N. Siswanto, A. N. Adianto, H. A. Prawira, and A. Rusdiansyah, “A crow search algorithm for aircraft maintenance check problem and continuous airworthiness maintenance program”, j. sist. manaj. ind., vol. 3, no. 2, pp. 115-123, Dec. 2019.
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Articles