Method of developing criteria for fire safety management of large-scale mass events

2021 ◽  
Vol 93 ◽  
pp. 8-18
Author(s):  
I. P. Denisov ◽  

Introduction. The article presents a method for developing decision-making criteria for fire safety management of large-scale mass events. The formalized decision-making procedure consists in choosing the category of large-scale mass events to ensure the necessary level of fire safety. The task of the research is to formalize the method of developing decision-making criteria that take into account the importance of choice parameters with a single scale of their formation. Methods. To solve the problem of making decisions on fire safety management of large-scale mass events, methods of multi-criteria analysis can be applied. Therefore, this article formalizes the method of developing decision-making criteria, which in the future can become the basis of multi-criteria analysis. This method consists of two main stages of performing calculations: the first is to select the initial data; the second stage is aimed directly at determining the parameters of the criterion. Results and discussion. A method for developing criteria is presented, which consists of performing two consecutive stages. The method allows us to take into account both the preference of criteria and their quantitative importance in the process of making managerial decisions, which allows us to judge its universality. Conclusions. The procedure under study is designed to help in making the most preferable decision when managing fire safety of large-scale mass events. In this case, there is also the task of categorizing such events and ranking them according to various parameters of potential danger, and then correlating each specific large-scale mass event with certain measures to achieve the required level of fire safety. Keywords: large-scale mass events, fire safety, criteria development method, decision-making, categorization

Author(s):  
Vazquez Rodriguez ◽  
Nataliya Mokrova

Territorial planning when selecting catchment areas is necessary for increase the availability of water resources. However, changes in land use sometimes occur without taking into account the characteristics of the territory, which can lead to an impact on the environment. Given the multipurpose use, large-scale projects with of private interests, the task becomes more urgent, and there is no related data, there is a mutual influence of infrastructure which necessary for the proper planning and design of hydraulic structures. Identifying suitable areas for certain methods of collecting and retaining water using advanced methods in Geomatics remains one of the important goals of this investigation and the author's dissertation research. This study focuses on the analysis of models and multi-criteria analysis methods used in making decisions about the localization of areas for dam construction that are based with geographic information systems. The author analyzes the paradigms of rationality proposed for making complex decisions, and sets the framework according to which theoretical developments of multi-criteria analysis can provide greater practical significance. The author critically analyzes various approaches and theoretical studies of the subject under consideration. Based on the study, it was concluded that the combination of "multi-criteria analysis method – geoinformation system" has the potential to provide a rational, objective and unbiased approach to decision-making when identifying potential areas when planning the construction of hydraulic structures, as well as the need for an integration component that will speed up decision-making when localizing potential areas, taking into account the main factors, including environmental and social ones.


1982 ◽  
Vol 19 (2) ◽  
pp. 182-191 ◽  
Author(s):  
Rowland T. Moriarty ◽  
John E. G. Bateson

Though the concept of a multiperson decision making unit (DMU) has been widely accepted in principle, very few empirical studies have surveyed all members of the DMU. In those few studies which have surveyed multiple decision participants, data were collected via “snowball” personal interviews. In a single-stage snowball a known member of the DMU is asked to provide a list of other persons involved in the decision making process. That list is used for a subsequent study. Multiple-stage snowballing involves asking all of the respondents in the first stage who else was in the DMU, then those in the second stage, and so on. Exhaustive snowballing involves continuing the process until no new DMU members are generated. As snowball personal interveiws are an extremely expensive method of collecting data, large-scale DMU research has been financially impractical for most empirical studies. A study of 319 DMUs was designed to assess the feasibility of snowballing by telephone and to ascertain the impact of exhaustive versus single-stage snowballing on the nature of the resultant DMU.


2020 ◽  
Vol 23 (5) ◽  
pp. 54-66
Author(s):  
S. A. Tolstykh

In modern conditions of limited budget for enterprises of aerodrome operators, the task of optimizing decision making in flight safety management is becoming extremely urgent. Management decisions, which are a safety management tool, must be not only effective in terms of expected improvements in safety, but also cost-effective and appropriate for the enterprise. Optimization in this article should be understood in terms of the mentioned criteria. The article presents a method for supporting management decision-making as part of a safety management strategy for the activities of aerodrome operators. In the presented methodology, an important place is given to indicators of the level of safety of flights and their use in making managerial decisions. Along with the safety indicator, an indicator of financial damage from recorded events is used, which is calculated in value terms taking into account direct and indirect damage to the aerodrome operator. Regression modeling is used in conjunction with the decision-making technique of “human-machine procedures”. Regression analysis is performed using STATISTICA software, and allows you to identify the dependence of indicators on the degree of influence of hazard factors. The resulting model, based on data from last year, makes it possible to forecast the values of indicators for the next. Using the decision-making methodology of “human-machine procedures”, an assessment is made of the priority of implementing managerial decisions based on an integrated criterion. The methodology ensures compliance with the requirements of Russian and international air legislation for operators of certified aerodromes. The scope of its application can be expanded to SMS of all aviation service providers, taking into account the relevant specifics of the services provided and the existing hazard factors.


Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.


2019 ◽  
Vol 4 ◽  
pp. 21-25
Author(s):  
Nikolai Zuev ◽  
◽  
Renat Khabibulin ◽  
Evgeni Meshalkin ◽  
Boris Pranov ◽  
...  

Author(s):  
Seunghwa Park ◽  
Inhan Kim

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.


Author(s):  
Igor Klimenko ◽  
A. Ivlev

The study carried out in this work made it possible to expand the rank scale for a priori assessment of the chosen strategy in terms of increasing the sensitivity of assessing the caution / negligence ratio using risky, as well as classical decision-making criteria under conditions of statistical uncertainty.


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