LEADER 04045nam 22006855 450 001 9910983066703321 005 20250224115241.0 010 $a9789819612352 010 $a9819612357 024 7 $a10.1007/978-981-96-1235-2 035 $a(CKB)37702831100041 035 $a(MiAaPQ)EBC31919630 035 $a(Au-PeEL)EBL31919630 035 $a(DE-He213)978-981-96-1235-2 035 $a(OCoLC)1504766763 035 $a(EXLCZ)9937702831100041 100 $a20250224d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFlight Safety Management $eQuantitative and AI Approaches /$fby Chi-Bin Cheng, Huan-Jyh Shyur 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (284 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v228 311 08$a9789819612345 311 08$a9819612349 327 $aIntroduction to Flight Safety -- Proactive Flight Safety Programs -- Introduction to Artificial Intelligence -- Flight Safety Management with Machine Learning -- Flight Operations Risk Assessment System: System Structure and Methodology -- Flight Operations Risk Assessment System: System Design and Implementation -- En-Route Flight Risk Assessment -- Automatic Causal Analysis and Reporting of Hard Landing Events -- Aging Aircraft Management -- Business Intelligence and Flight Safety Performance Dashboard. 330 $aThis book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines. Flight safety is commonly the core values of airlines. Serious flight disasters always bring tremendous impacts and losses to the industry and the society; thus, airlines and the authorities always treat the issues of flight safety management as the first priority. It presents the information systems that assist the safety staff and managers to adopt preventive operations or to analyze the critical factors or operations that cause a flight event. Such information systems were developed based on artificial intelligence and quantitative approaches, including fuzzy logic, expert systems, deep learning, decision-making methods, reliability theory, and data mining. After introducing the flight safety management practice and common programs, as well as basic artificial intelligence and quantitative approaches, the book describes in detail the information systems we have developed and provides instructions for flight safety practitioners to implement such information systems in their organizations. Case studies collected from the cooperated airline are also presented. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v228 606 $aFinancial risk management 606 $aMachine learning 606 $aTransportation engineering 606 $aTraffic engineering 606 $aArtificial intelligence 606 $aRisk Management 606 $aStatistical Learning 606 $aTransportation Technology and Traffic Engineering 606 $aArtificial Intelligence 615 0$aFinancial risk management. 615 0$aMachine learning. 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aArtificial intelligence. 615 14$aRisk Management. 615 24$aStatistical Learning. 615 24$aTransportation Technology and Traffic Engineering. 615 24$aArtificial Intelligence. 676 $a658.155 700 $aCheng$b Chi-Bin$01226382 701 $aShyur$b Huan-Jyh$01785866 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983066703321 996 $aFlight Safety Management$94317327 997 $aUNINA