Aviation maintenance technician scheduling with personnel satisfaction based on interactive multi‐swarm bacterial foraging optimization. Issue 1 (30th August 2021)

• Record Type: Journal Article
• Authors: Niu, Ben; Xue, Bowen; Zhou, Tianwei; Kustudic, Mijat
• Is Part Of: International journal of intelligent systems. Volume 37:Issue 1(2022)
• Page Start: 723
• Page End: 747
• Publication Date: 2021-08-30
• Subjects: aircraft maintenance -- aviation maintenance technician scheduling -- bacterial foraging optimization -- multi‐swarm -- personnel satisfaction; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.22645
• Languages: English
• ISSNs: 0884-8173

Abstract

Abstract: This study focuses on the challenges of aviation maintenance technician (AMT) scheduling and constructs a model based on personnel satisfaction and the parallel execution of aircraft maintenance tasks. To obtain the scheduling scheme from the constructed NP‐hard model, an interactive multi‐swarm bacterial foraging optimization (IMSBFO) algorithm is proposed using multi‐swarm coevolution, structural recombination, and three information interactive mechanisms among individuals. Moreover, considering the distributed feature of the AMT scheduling problem, a specific mechanism is designed to convert continuous solution to a binary AMT scheduling scheme. Finally, a series of comparative experiments highlight the efficiency and superiority of our proposed IMSBFO algorithm, and the optimal scheduling scheme owns the delicate balance between the work and rest time.