HISTOGRAMS AS A METHOD OF STUDYING FLEET FLOWS
Rubrics: WITHOUT RUBRIC
Authors:
1.
Admiral Makarov State University of Maritime and Inland Shipping
(Department of Economics and Technology of Business Management in Water Transport, Professor)
employee
employee
Type:
Article
Pages:
from 1
to 1
Status:
Published
Received:
13.11.2024
Accepted:
17.11.2024
Published:
17.11.2024
Language:
Russian
Keywords:
shipping, stevedoring, fleet, ship, gateway, channel, statistical technology, management, rhythm of functioning of transport systems, mode of movement of traffic flows, interval between events, frequency of events, distribution of events.
Abstract (English):
The article presents one of the statistical technologies used to study the flows of events, including in shipping and stevedoring activities, based on histograms. The classification of these streams by content is considered. The parameters characterizing the considered streams of events are given. The priority of flows in terms of their importance from the point of view of safety of functioning and life support is justified. Using a specific example of the distribution of ship maintenance time at the gateway, the uncertainty of displaying its nature using histograms is shown. At the same time, three ways of dividing the time range of ship maintenance into intervals are considered. A comparison of the obtained histograms showed their noticeable difference from each other, despite the fact that they all display the same stream of events in the observed time range. If each researcher has the opportunity to choose the distribution law that seems to him the most preferable according to his subjective ideas, then in this case the objectivity of an adequate representation of the distribution of the observed streams of events in the form of histograms is violated. Thus, already at the stage of primary data processing, when searching for the laws of distribution of observed event flows based on histograms, traditional statistics do not provide an unambiguous answer to solve the identified problems. In the conditions of an intensive path of development of a post-industrial society with a high intensity of metabolic processes at the level of extreme restrictions, these problems are relevant and give an order for science.
The article presents one of the statistical technologies used to study the flows of events, including in shipping and stevedoring activities, based on histograms. The classification of these streams by content is considered. The parameters characterizing the considered streams of events are given. The priority of flows in terms of their importance from the point of view of safety of functioning and life support is justified. Using a specific example of the distribution of ship maintenance time at the gateway, the uncertainty of displaying its nature using histograms is shown. At the same time, three ways of dividing the time range of ship maintenance into intervals are considered. A comparison of the obtained histograms showed their noticeable difference from each other, despite the fact that they all display the same stream of events in the observed time range. If each researcher has the opportunity to choose the distribution law that seems to him the most preferable according to his subjective ideas, then in this case the objectivity of an adequate representation of the distribution of the observed streams of events in the form of histograms is violated. Thus, already at the stage of primary data processing, when searching for the laws of distribution of observed event flows based on histograms, traditional statistics do not provide an unambiguous answer to solve the identified problems. In the conditions of an intensive path of development of a post-industrial society with a high intensity of metabolic processes at the level of extreme restrictions, these problems are relevant and give an order for science.
Keywords:
shipping, stevedoring, fleet, ship, gateway, channel, statistical technology, management, rhythm of functioning of transport systems, mode of movement of traffic flows, interval between events, frequency of events, distribution of events.
shipping, stevedoring, fleet, ship, gateway, channel, statistical technology, management, rhythm of functioning of transport systems, mode of movement of traffic flows, interval between events, frequency of events, distribution of events.
