Risk Management in Aviation

2014 ◽  
Vol 1 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Kevin M. Smith
Keyword(s):  
Risk Management ◽  
High Risk ◽  
Large Scale ◽  
Conceptual Development ◽  
Effective Management ◽  
Demarcation Line ◽  
Short Article ◽  
Technology Applications ◽  
And Performance ◽  
Management Issues

This relatively short article will set the stage for productive discussions concerning the effective management of risk in large scale dynamic systems, for which future articles will be featured. One of the most important first steps in this regard is the pressing need to understand the operational nature of risk and a rising risk profile. Much about risk is at once poorly understood and treated often as a one-off event instead as a cluster of risk management issues to be addressed from the standpoint of convergent technology applications, and performance modeling. A clear distinction by what is meant by low risk, moderate risk, and high risk needs to be developed. This the author will attempt to do here. Once an unambiguous demarcation line between Low, moderate, and high risk is made then the author will be able to proceed to the next important step in their conceptual development, and that is the specification of the decision analytical structure for all Operational Decisions.

Essential Background Material

2015 ◽  
pp. 80-96
Keyword(s):  
Risk Management ◽  
Limiting Factors ◽  
Design Teams ◽  
Obstacle Clearance ◽  
Safety Improvement ◽  
Technology Applications ◽  
Operational Systems ◽  
Background Material ◽  
And Performance ◽  
Convergent Technology

In order for design teams to design targeted operational systems, they must understand the essential background material: operational visibility, ambiguity challenges associated with risk management, and significantly, approach and landing safety. Operational visibility has guidelines for availability of a precision approach, low visibility, approach lights, and obstacle clearance. Visibility minimums are depicted as limiting factors but are otherwise advisory. Risk management issues need to be addressed with convergent technology applications and performance modeling. They need to be viewed as a cluster of events and identified as low, moderate, and high risks. A risk continuum shows the ranges from no appreciable risk to an imminent substantial negative outcome. Risks in takeoff and approaches were addressed in the Go-Around Safety Forum and in safety improvement strategies relating to the go-around decision making process and execution. Operational decision analytical structure is represented in a go-around decision model.

Decision Making in Complex Environments

2017 ◽  
Vol 4 (2) ◽  
pp. 1-14
Author(s):  
Kevin M. Smith
Keyword(s):  
Decision Making ◽  
Performance Optimization ◽  
Large Scale ◽  
Bayesian Probability ◽  
Complex Environments ◽  
Bayesian Theorem ◽  
Skill Sets ◽  
Technology Applications ◽  
Operational Decision Making ◽  
And Performance

Bayesian probability theory, signal detection theory, and operational decision theory are combined to understand how one can operate effectively in complex environments, which requires uncommon skill sets for performance optimization. The analytics of uncertainty in the form of Bayesian theorem applied to a moving object is presented, followed by how operational decision making is applicable to all complex environments. Large-scale dynamic systems have erratic behavior, so there is a need to effectively manage risk. Risk management needs to be addressed from the standpoint of convergent technology applications and performance modeling. The example of an airplane during takeoff shows how a risk continuum needs to be developed. An unambiguous demarcation line for low, moderate, and high risk is made and the decision analytical structure for all operational decisions is developed. Three mission-critical decisions are discussed to optimize performance: to continue or abandon the mission, the approach go-around maneuver, and the takeoff go/no-go decision.

Decision Making in Complex Environments

2021 ◽  
pp. 453-466
Author(s):  
Kevin M. Smith
Keyword(s):  
Decision Making ◽  
Performance Optimization ◽  
Large Scale ◽  
Bayesian Probability ◽  
Complex Environments ◽  
Bayesian Theorem ◽  
Skill Sets ◽  
Technology Applications ◽  
Operational Decision Making ◽  
And Performance

Bayesian probability theory, signal detection theory, and operational decision theory are combined to understand how one can operate effectively in complex environments, which requires uncommon skill sets for performance optimization. The analytics of uncertainty in the form of Bayesian theorem applied to a moving object is presented, followed by how operational decision making is applicable to all complex environments. Large-scale dynamic systems have erratic behavior, so there is a need to effectively manage risk. Risk management needs to be addressed from the standpoint of convergent technology applications and performance modeling. The example of an airplane during takeoff shows how a risk continuum needs to be developed. An unambiguous demarcation line for low, moderate, and high risk is made and the decision analytical structure for all operational decisions is developed. Three mission-critical decisions are discussed to optimize performance: to continue or abandon the mission, the approach go-around maneuver, and the takeoff go/no-go decision.

scholarly journals Values of the public at risk of wildfire and its management

2018 ◽  
Vol 27 (10) ◽  
pp. 665 ◽  
Author(s):  
Kathryn J. H. Williams ◽  
Rebecca M. Ford ◽  
Andrea Rawluk
Keyword(s):  
At Risk ◽  
Risk Management ◽  
Conceptual Framework ◽  
Large Scale ◽  
Conceptual Development ◽  
Levels Of Abstraction ◽  
Wildfire Management ◽  
The Public ◽  
Large Scale Survey ◽  
Different Levels

Wildfire management agencies increasingly seek to understand what the public values and expects to be protected from wildfire and its management. Recent conceptual development demonstrates the utility of considering values at three levels of abstraction: localised valued entities such as people, places and objects; valued attributes of communities and landscapes; and core values, or ideals that guide in life. We used a large-scale survey (n = 1105) in Victoria, Australia, to test and extend this framework. The results confirm the usefulness of the conceptual framework and demonstrate that values that members of the public consider at risk of wildfire are much more diverse than those typically considered in wildfire risk management. Relationships between values at different levels of abstraction are meaningful and reveal the multiple ways that objects, places and people become valued. The research suggests ways to understand and practically incorporate values of the public in wildfire management.

artikel 9 admistrasi layanan khusus

2020 ◽  
Author(s):  
syafriati
Keyword(s):  
Service Management ◽  
School Level ◽  
Effective Management ◽  
Class Inclusion ◽  
Program Monitoring ◽  
Special Services ◽  
Management Processes ◽  
Special Service ◽  
And Performance ◽  
Management Functions

Special services provided by schools to students are generally the same, but different on the process of the management and utilization. Some form of special services in school is the service: councelling, libraries, laboratories, extracurricular, infirmary, cafeteria, cooperatives, OSIS, transport, boarding, acceleration, class inclusion, and apprentice. As a special service management functions include: (1) planning, such as needs analysis and programming of special services; (2) the organization, such as the division of tasks to carry out special service program; (3) in motion, in the form of the settings in the implementation of special services, and (4) control, in the form of program monitoring and performance assessment special services program in school. So that special services should be managed with effective management processes in order to strengthen the management process of education, particularly at the school level.

Nanocrystals: The Preparation, Precise Control and Application Toward the Pharmaceutics and Food Industry

2018 ◽  
Vol 24 (21) ◽  
pp. 2425-2431 ◽  
Author(s):  
Cao Wu ◽  
Zhou Chen ◽  
Ya Hu ◽  
Zhiyuan Rao ◽  
Wangping Wu ◽  
...  
Keyword(s):  
Food Industry ◽  
Chemical Properties ◽  
Preparation Methods ◽  
Precise Control ◽  
Significant Process ◽  
Technology Applications ◽  
And Performance ◽  
Physical And Chemical ◽  
Analytical Technology ◽  
And Chemical Properties

Crystallization is a significant process employed to produce a wide variety of materials in pharmaceutical and food area. The control of crystal dimension, crystallinity, and shape is very important because they will affect the subsequent filtration, drying and grinding performance as well as the physical and chemical properties of the material. This review summarizes the special features of crystallization technology and the preparation methods of nanocrystals, and discusses analytical technology which is used to control crystal quality and performance. The crystallization technology applications in pharmaceutics and foods are also outlined. These illustrated examples further help us to gain a better understanding of the crystallization technology for pharmaceutics and foods.

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