Rapidly reconfigurable event-set based line operational evaluation scenarios

被引:0
|
作者
Bowers, C
Jentsch, F
Baker, D
机构
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
An important cornerstone of the Advanced Qualification Program is the use of realistic flight simulations to train flight crews and evaluate their proficiency. This is achieved through the use of Line Operational Simulations (LOSs) which contain a number of realistic event sets that require night crews to use the knowledge, skills, and abilities they gained in training in both technical and crew resource management areas. In the past, the development of LOS scenarios was complex, expensive, and time-consuming. As a result, the number of LOS scenarios used by any particular training organization was limited. This may have led, in some cases, to the LOS scenarios being compromised among night crews, thus reducing the validity and reliability of the assessment process. In response to this problem, it has been suggested to create a methodology for quickly reconfiguring the content of flight simulator LOS scenarios. This paper provides a background for this new development and describes a research project that was begun in response to this need. A number of specific research questions are discussed which need to be answered before the methodology can be adopted by participants in the AQP program.
引用
收藏
页码:912 / 915
页数:4
相关论文
共 17 条
  • [1] Line Operational Evaluation (LOE) air carrier scenario based evaluation
    Hamman, WR
    Holt, RW
    [J]. PROCEEDINGS OF THE HUMAN FACTORS AND ERGONOMICS SOCIETY 41ST ANNUAL MEETING, 1997, VOLS 1 AND 2, 1997, : 907 - 911
  • [2] Operational Capability Evaluation of Surface Warship Formation Based on Set Pair Analysis
    Cao, Liang
    Wang, Hang-yu
    Lu, Fa-Xing
    [J]. 2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2, 2016, : 492 - 495
  • [3] Economic Evaluation of Scenarios for Manufacturing Systems Using Discrete Event Simulation Based Experiments
    Barra Montevechi, Jose Arnaldo
    da Silva Costa, Rafael Florencio
    Leal, Fabiano
    de Pinho, Alexandre Ferreira
    [J]. BRAZILIAN JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2010, 7 (01): : 77 - 103
  • [4] Operational Data Quality evaluation based on BP Neural Network and Rough Set Theory
    Liu Lijun
    [J]. SECOND INTERNATIONAL CONFERENCE ON PHOTONICS AND OPTICAL ENGINEERING, 2017, 10256
  • [5] Operational reliability evaluation-based maintenance planning for automotive production line
    Soltanali, Hamzeh
    Rohani, Abbas
    Tabasizadeh, Mohammad
    Abbaspour-Fard, Mohammad Hossein
    Parida, Aditya
    [J]. QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2020, 17 (02): : 186 - 202
  • [6] A Combined Analytical and Simulation-Based Model for Performance Evaluation of a Reconfigurable Instruction Set Processor
    Mehdipour, Farhad
    Noori, Hamid
    Javadi, Bahman
    Honda, Hiroaki
    Inoue, Koji
    Murakami, Kazuaki
    [J]. PROCEEDINGS OF THE ASP-DAC 2009: ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE 2009, 2009, : 564 - +
  • [7] Digital twin-based virtual commissioning for evaluation and validation of a reconfigurable process line
    Iyer, Suveg V.
    Sangwan, Kuldip Singh
    Dhiraj
    [J]. IET COLLABORATIVE INTELLIGENT MANUFACTURING, 2024, 6 (03)
  • [8] Data-set for Event-based Optical Flow Evaluation in Robotics Applications
    Khairallah, Mahmoud
    Bonardi, Fabien
    Roussel, David
    Bouchafa, Samia
    [J]. VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 4: VISAPP, 2021, : 480 - 489
  • [9] Evaluation of hydrological variabilities of water quality models considering event-based scenarios: A case study
    Ebrahimi, Saman
    Azizi, Koorosh
    Khorram, Mahdis
    Kashani, Ali R.
    Ali, Ahmed Shakir Ali
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2024, 38 (06) : 2425 - 2449
  • [10] Evaluation and Improvement of Parallel Discrete Event Simulation Performance Predictions: A Rough-Set-based Approach
    Muka, Laszlo
    Derka, Istvan
    [J]. ACTA POLYTECHNICA HUNGARICA, 2016, 13 (06) : 125 - 145