scholarly journals Does Fractal Enterprise Model Fit Operational Decision Making?

2021 ◽  
Author(s):  
Victoria Klyukina ◽  
Ilia Bider ◽  
Erik Perjons
Keyword(s):  
Decision Making ◽  
Model Fit ◽  
Enterprise Model ◽  
Operational Decision Making

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.

Mission Critical Events

2015 ◽  
pp. 38-49
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
Large Scale ◽  
Problem Definition ◽  
Analytic Structure ◽  
Critical Events ◽  
Operational Conditions ◽  
Time Compression ◽  
Operational Decision Making ◽  
Mission Critical

Mission critical events are changing operational conditions that will have a significant impact on the mission. If they are specified correctly, one can begin to design meaningful crew station responses. This chapter is about how to make decisions that are appropriate for the environment; in this case, under increased time compression. The theoretical focus of decisions shifts the conceptual design of the decision analytic structure forward to the problem definition stage. In large-scale dynamic systems, getting the problem right is often the most difficult task of the operator and operational manager. Operational decision making (ODM) stands in visible contrast to conventional decision making, and conventional decision theory, in that among all classes of decisions, an operational decision is singular, and contains a number of unique components.

Data Warehouse Support for Policy Enforcement Rule Formulation

2019 ◽  
pp. 255-273
Author(s):  
Deepika Prakash
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Conversion Process ◽  
Tool Support ◽  
Policy Enforcement ◽  
Decision Making Problem ◽  
Operational Decision Making ◽  
Early Information ◽  
Support Decision Making ◽  
Policy Violation

It is believed that a data warehouse is for operational decision making. Recently, a proposal was made to support decision making for formulating policy enforcement rules that enforce policies. These rules are expressed in the WHEN-IF-THEN form. Guidelines are proposed to elicit two types of actions, triggering actions that cause the policy violation and the corresponding correcting actions. The decision-making problem is that of selecting the most appropriate correcting action in the event of a policy violation. This selection requires information. The elicited information is unstructured and is “early.” This work is extended by proposing a method to directly convert early information into its multi-dimensional form. For this, an early information mode is proposed. The proposed conversion process is a fully automated one. Further, the tool support is extended to accommodate the conversion process. The authors also apply the method to a health domain.

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