Entropy as an Objective Function of Optimization Multimodal Transportations
This article considers the use of the entropy method in the optimization and forecasting of multimodal transport under conditions of risks that can be determined simultaneously by deterministic, stochastic and fuzzy quantities. This will allow to change the route of transportation in real time in an...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/8/946 |
id |
doaj-844cdc5b400346c2b2e472d38381bb13 |
---|---|
record_format |
Article |
spelling |
doaj-844cdc5b400346c2b2e472d38381bb132021-08-26T13:43:57ZengMDPI AGEntropy1099-43002021-07-012394694610.3390/e23080946Entropy as an Objective Function of Optimization Multimodal TransportationsOleg Bazaluk0Sergiy Kotenko1Vitalii Nitsenko2Belt and Road Initiative Institute for Chinese-European Studies, Guangdong University of Petrochemical Technology, Maoming 525000, ChinaInstitute of Market Problems and Economic-Ecological Research, National Academy of Sciences of Ukraine, 65044 Odesa, UkraineDepartment of Economics and Finance, Educational and Scientific Institute of Marine Business, Odesa National Maritime University, 65029 Odesa, UkraineThis article considers the use of the entropy method in the optimization and forecasting of multimodal transport under conditions of risks that can be determined simultaneously by deterministic, stochastic and fuzzy quantities. This will allow to change the route of transportation in real time in an optimal way with an unacceptable increase in the risk at one of its next stages and predict the redistribution of the load of transport nodes. The aim of this study is to develop a mathematical model for the optimal choice of an alternative route, the best for one or more objective functions in real time. In addition, it is proposed to use this mathematical model to estimate the dynamic change in turnover through intermediate transport nodes, forecasting their loading over time under different conditions that also include long-term risks which are significant in magnitude. To substantiate the feasibility of the proposed mathematical model, the analysis and forecast of cargo turnover through the seaports of Ukraine are presented, taking into account and analysing the existing risks.https://www.mdpi.com/1099-4300/23/8/946entropy methodmultimodal transportationsmathematical modeltransportation risksvarious criteria optimizationfuzzy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Oleg Bazaluk Sergiy Kotenko Vitalii Nitsenko |
spellingShingle |
Oleg Bazaluk Sergiy Kotenko Vitalii Nitsenko Entropy as an Objective Function of Optimization Multimodal Transportations Entropy entropy method multimodal transportations mathematical model transportation risks various criteria optimization fuzzy |
author_facet |
Oleg Bazaluk Sergiy Kotenko Vitalii Nitsenko |
author_sort |
Oleg Bazaluk |
title |
Entropy as an Objective Function of Optimization Multimodal Transportations |
title_short |
Entropy as an Objective Function of Optimization Multimodal Transportations |
title_full |
Entropy as an Objective Function of Optimization Multimodal Transportations |
title_fullStr |
Entropy as an Objective Function of Optimization Multimodal Transportations |
title_full_unstemmed |
Entropy as an Objective Function of Optimization Multimodal Transportations |
title_sort |
entropy as an objective function of optimization multimodal transportations |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2021-07-01 |
description |
This article considers the use of the entropy method in the optimization and forecasting of multimodal transport under conditions of risks that can be determined simultaneously by deterministic, stochastic and fuzzy quantities. This will allow to change the route of transportation in real time in an optimal way with an unacceptable increase in the risk at one of its next stages and predict the redistribution of the load of transport nodes. The aim of this study is to develop a mathematical model for the optimal choice of an alternative route, the best for one or more objective functions in real time. In addition, it is proposed to use this mathematical model to estimate the dynamic change in turnover through intermediate transport nodes, forecasting their loading over time under different conditions that also include long-term risks which are significant in magnitude. To substantiate the feasibility of the proposed mathematical model, the analysis and forecast of cargo turnover through the seaports of Ukraine are presented, taking into account and analysing the existing risks. |
topic |
entropy method multimodal transportations mathematical model transportation risks various criteria optimization fuzzy |
url |
https://www.mdpi.com/1099-4300/23/8/946 |
work_keys_str_mv |
AT olegbazaluk entropyasanobjectivefunctionofoptimizationmultimodaltransportations AT sergiykotenko entropyasanobjectivefunctionofoptimizationmultimodaltransportations AT vitaliinitsenko entropyasanobjectivefunctionofoptimizationmultimodaltransportations |
_version_ |
1721193715342508032 |