scholarly journals Operational decision-making for cyber operations: In Search of a Model

2019 ◽  
Author(s):  
Max Smeets ◽  
JD Work
Keyword(s):  
Decision Making ◽  
Complex Dynamics ◽  
Choice Model ◽  
Black Scholes Model ◽  
Black Scholes ◽  
Unique Nature ◽  
Operational Decision Making ◽  
Decision Dynamics ◽  
Mating Choice ◽  
Cyber Conflict

The decision-making behind cyber operations is complex. Dynamics around issues such as cyber arsenal management, target assessment, and the timing of dropping a destructive payload are still ill-understood. Yet, limited published research has thus far explored formal theoretic constructs for better understanding decisionmaking in cyber operations. Multiple models may offer utility to understand and explain the courses of action through which state cyber missions are executed, including conduct or restraint of cyber effects operations against target systems and networks. This paper evaluates four models - surprise model, duelist model, mating- choice model, and the Black-Scholes model. Each model offers specific advantages, and suffers characteristic drawbacks; and while these models differ in application and complexity each may provide insights into how the unique nature of cyber operations impact the decision dynamics of cyber conflict.

MONITORING THE ATTITUDE OF THE POPULATION TO PROBLEMS OF URBAN ENVIRONMENT FOR SITUATION-AL CENTERS OF A SMART CITY

2019 ◽  
pp. 51-54
Author(s):  
D. Verzilin ◽  
T. Maximova ◽  
I. Sokolova
Keyword(s):  
Decision Making ◽  
Urban Environment ◽  
Smart City ◽  
Sources Of Information ◽  
Online Activity ◽  
Operational Decision Making ◽  
Alternative Sources ◽  
Intelligent Information ◽  
State Of The Environment ◽  
Active Citizen

Goal. The purpose of the study was to search for alternative sources of information on popu-lation’s preferences and response to problems and changes in the urban environment for use in the operational decision-making at situational centers. Materials and methods. The authors used data from search queries with keywords, data on communities in social networks, data from subject forums, and official statistics. Methods of statistical data analysis were applied. Results. The analysis of thematic online activity of the population was performed. The re-sults reflected the interest in the state of the environment, the possibility of distance learning and work, are presented. It was reasoned that measurements of population’s thematic online activity let identify needs and analyze the real-time response to changes in the urban envi-ronment. Such an approach to identifying the needs of the population can be used in addition to the platforms “Active Citizen” of the Smart City project. Conclusions. An analysis of data on online activity of the population for decision-making at situational centers is more operational, flexible and representative, as compared with the use of tools of those platforms. Such an analysis can be used as an alternative to sociological surveys, as it saves time and money. When making management decisions using intelligent information services, it is necessary to take into account the needs of the population, reflect-ed in its socio-economic activity in cyberspace.

Evaluations for New Healthcare Environment Commissioning and Operational Decision Making Using Simulation and Human Factors: A Case Study of an Interventional Trauma Operating Room

2021 ◽  
pp. 193758672199966
Author(s):  
Mirette Dubé ◽  
Jason Laberge ◽  
Elaine Sigalet ◽  
Jonas Shultz ◽  
Christine Vis ◽  
...  
Keyword(s):  
Decision Making ◽  
Human Factors ◽  
Operating Room ◽  
Healthcare Services ◽  
Healthcare Team ◽  
Healthcare Environment ◽  
New Process ◽  
Timely Access ◽  
Operational Decision Making

Purpose: The aim of this article is to provide a case study example of the preopening phase of an interventional trauma operating room (ITOR) using systems-focused simulation and human factor evaluations for healthcare environment commissioning. Background: Systems-focused simulation, underpinned by human factors science, is increasingly being used as a quality improvement tool to test and evaluate healthcare spaces with the stakeholders that use them. Purposeful real-to-life simulated events are rehearsed to allow healthcare teams opportunity to identify what is working well and what needs improvement within the work system such as tasks, environments, and processes that support the delivery of healthcare services. This project highlights salient evaluation objectives and methods used within the clinical commissioning phase of one of the first ITORs in Canada. Methods: A multistaged evaluation project to support clinical commissioning was facilitated engaging 24 stakeholder groups. Key evaluation objectives highlighted include the evaluation of two transport routes, switching of operating room (OR) tabletops, the use of the C-arm, and timely access to lead in the OR. Multiple evaluation methods were used including observation, debriefing, time-based metrics, distance wheel metrics, equipment adjustment counts, and other transport route considerations. Results: The evaluation resulted in several types of data that allowed for informed decision making for the most effective, efficient, and safest transport route for an exsanguinating trauma patient and healthcare team; improved efficiencies in use of the C-arm, significantly reduced the time to access lead; and uncovered a new process for switching OR tabletop due to safety threats identified.

A Crime Decision-Making Model Based on AHP

2011 ◽  
Vol 50-51 ◽  
pp. 885-889 ◽  
Author(s):  
Fei Xue Yan ◽  
Jing Xia ◽  
Guan Qun Shen ◽  
Xu Sheng Kang
Keyword(s):  
Decision Making ◽  
Computer Simulation ◽  
Hazard Rate ◽  
Prediction Models ◽  
Choice Model ◽  
Ahp Method ◽  
Spatial Choice ◽  
Crime Prediction ◽  
Models Comparison ◽  
Decision Making Model

As time goes by, hazard rate of the society would increase if crime prediction was not implemented. Based on objective factors of offenders and victims characteristics, AHP method can be established to get a quantitative and qualitative analysis on crime prediction. Crime prediction is a strategic and tactical measure for crime prevention. According to AHP analysis, two prediction models of the optimal predictive crime locations are put forward. Standard Deviational Ellipses Model and Key Feature adjusted Spatial Choice Model were formulated to account for the anticipated position with various elements from AHP method. These models could be applied in a computer simulation of situation tests of the series murders. Besides, applying those models in certain real case demonstrates how the models work. Through models comparison, the results are summarized that Key Feature adjusted Spatial Choice Model is more conducive in confirming the guilty place. In conclusion, the suggested models, including detailed criminal map, are easy to implement.

Sign in / Sign up

Export Citation Format

Share Document