Planning of elimination of emergency consequences
Introduction. The volume of useful information in the planning of elimination of emergency consequences process is reasonable to assess with calculatory problems and mathematical models. Materials and methods. The expert survey method is used to calculate quantitative...
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National university of food technologies
2015-05-01
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Online Access: | http://nbuv.gov.ua/j-pdf/UFJ_2014_3_2_18.pdf |
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doaj-3b916143c86349a591756c814bc5036d2020-11-25T01:08:27ZengNational university of food technologiesUkrainian Food Journal 2304-974X2313-58912015-05-0132288294Planning of elimination of emergency consequencesS. KovalenkoA. SirykI. VlasiukIntroduction. The volume of useful information in the planning of elimination of emergency consequences process is reasonable to assess with calculatory problems and mathematical models. Materials and methods. The expert survey method is used to calculate quantitative values of probability and to determine the optimal solution before the information in condition is received. Results. It is determined that the quality of the solution of elimination emergency consequences depends primarily on the number of factors that are taken into account in particular circumstances of the situation; on the level of information readiness of control bodies to take decision to eliminate emergency consequences as soon as possible and to consider several options for achieving reasonableness and concreteness of a particular decision. The ratio between volume of useful information collected and processed during operation planning which is required for identifying optimal solution is calculated. This ratio allows to construct a graph of probability of identifying a solution in existing environment and probability value of identifying optimal solution before information in P*condition is obtained. This graph also shows the ratio volume of useful information collected and processed during operation planning and necessary volume of information for identifying optimal solution. Conclusion. The results of this research can be used for improving control bodies decisions to ensure safe working conditions for employees of food industry.http://nbuv.gov.ua/j-pdf/UFJ_2014_3_2_18.pdfEmergencyPlanAssessmentInformation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. Kovalenko A. Siryk I. Vlasiuk |
spellingShingle |
S. Kovalenko A. Siryk I. Vlasiuk Planning of elimination of emergency consequences Ukrainian Food Journal Emergency Plan Assessment Information |
author_facet |
S. Kovalenko A. Siryk I. Vlasiuk |
author_sort |
S. Kovalenko |
title |
Planning of elimination of emergency consequences |
title_short |
Planning of elimination of emergency consequences |
title_full |
Planning of elimination of emergency consequences |
title_fullStr |
Planning of elimination of emergency consequences |
title_full_unstemmed |
Planning of elimination of emergency consequences |
title_sort |
planning of elimination of emergency consequences |
publisher |
National university of food technologies |
series |
Ukrainian Food Journal |
issn |
2304-974X 2313-5891 |
publishDate |
2015-05-01 |
description |
Introduction. The volume of useful information in the
planning of elimination of emergency consequences process
is reasonable to assess with calculatory problems and
mathematical models.
Materials and methods. The expert survey method is
used to calculate quantitative values of probability and to
determine the optimal solution before the information in
condition is received.
Results. It is determined that the quality of the solution of
elimination emergency consequences depends primarily on
the number of factors that are taken into account in particular
circumstances of the situation; on the level of information
readiness of control bodies to take decision to eliminate
emergency consequences as soon as possible and to consider
several options for achieving reasonableness and
concreteness of a particular decision.
The ratio between volume of useful information collected
and processed during operation planning which is required
for identifying optimal solution is calculated. This ratio
allows to construct a graph of probability of identifying a
solution in existing environment and probability value of
identifying optimal solution before information in
P*condition is obtained.
This graph also shows the ratio volume of useful
information collected and processed during operation
planning and necessary volume of information for
identifying optimal solution.
Conclusion. The results of this research can be used for
improving control bodies decisions to ensure safe working
conditions for employees of food industry. |
topic |
Emergency Plan Assessment Information |
url |
http://nbuv.gov.ua/j-pdf/UFJ_2014_3_2_18.pdf |
work_keys_str_mv |
AT skovalenko planningofeliminationofemergencyconsequences AT asiryk planningofeliminationofemergencyconsequences AT ivlasiuk planningofeliminationofemergencyconsequences |
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