Flight Safety Management: Quantitative and AI Approaches: 228 (Studies in Systems, Decision and Control, 228) - Tapa dura

Acerca del autor

Dr. Chi-Bin Cheng received his Ph.D. in Industrial and Manufacturing Systems Engineering from Kansas State University, USA. He is currently Professor in the Department of Information Management at Tamkang University, Taiwan. His primary research interests include artificial intelligence, machine learning, optimization, flight safety management, scheduling, and soft computing. Dr. Cheng has collaborated with EVA Air on flight safety research projects from 2009 to 2024, including the development of the Flight Operations Risk Assessment System (FORAS). He has published approximately 50 journal papers and co-authored a book titled “Fuzzy and Multi-Level Decision Making: Soft Computing Approaches.” Dr. Cheng has been recognized as one of the World’s Top 2% Scientists (Career) by Stanford University and Elsevier for the years 2020–2023.

Huan-Jyh Shyur received his Ph.D. from the Department of Industrial and Systems Engineering at Rutgers University. After earning his doctorate, he worked at the Federal Aviation Administration (FAA) Technical Center in the United States, where he led the SPAS (Safety Performance Analysis System) project. He is currently Full-Time Professor in the Department of Information Management at Tamkang University. During his tenure at Tamkang University, Dr. Shyur actively participated in aviation safety projects with the Civil Aeronautics Administration (CAA) of Taiwan and contributed to the development of the FORAS (Flight Operations Risk Assessment System) project in collaboration with EVA Air. His research interests include aviation safety management, reliability engineering, decision theory, and the application of artificial intelligence.

De la contraportada

This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines. Flight safety is commonly the core values of airlines. Serious flight disasters always bring tremendous impacts and losses to the industry and the society; thus, airlines and the authorities always treat the issues of flight safety management as the first priority. It presents the information systems that assist the safety staff and managers to adopt preventive operations or to analyze the critical factors or operations that cause a flight event. Such information systems were developed based on artificial intelligence and quantitative approaches, including fuzzy logic, expert systems, deep learning, decision-making methods, reliability theory, and data mining. After introducing the flight safety management practice and common programs, as well as basic artificial intelligence and quantitative approaches, the book describes in detail the information systems we have developed and provides instructions for flight safety practitioners to implement such information systems in their organizations. Case studies collected from the cooperated airline are also presented.