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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Intellectual information system for formation of portfolio projects of motor transport enterprises</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Аnatoliy Тryhuba</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Igor Kondysiuk</string-name>
          <email>Kondysiuk111@gmail.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Inna Тryhuba</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nazar Koval</string-name>
          <email>kovaln870@gmail.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andriy Tatomyr</string-name>
          <email>andrew.tatomyr@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oksana Boiarchuk</string-name>
          <email>boiarchuk_oksana@ukr.net</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Lviv National Agrarian University</institution>
          ,
          <addr-line>1, V.Velykoho str., Dubliany-Lviv, 80381</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Lviv State University of Life Safety</institution>
          ,
          <addr-line>35, Kleparivska str., 79007, Lviv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>44</fpage>
      <lpage>52</lpage>
      <abstract>
        <p>The improved model of portfolio formation of hybrid projects of motor transport enterprises is based on Markowitz`s theory. It provides for the optimization of the portfolio of projects for investments, which are evaluated using Sharpe`s value-risk criterion. To accelerate and improve the quality of management decisions, an intelligent information system for the formation of portfolios of hybrid projects of motor transport enterprises has been developed. The proposed intelligent information system has a three-tier architecture - presentation level, level of business logic management, and level of data access. Interaction with the user is implemented using the graphical interface of the developed software application for PC in Python 3.9, which is performed using Tkinter libraries. The information-analytical subsystem provides for the presence of three modules - risk and value assessment, project portfolio formation, and optimization. The proposed intelligent information system is tested for adequacy. Based on the use of an intelligent information system, the portfolio of hybrid projects is being optimized, which is implemented in the changing design environment of Mustang Trans LLC.</p>
      </abstract>
      <kwd-group>
        <kwd>1 Intelligent information system</kwd>
        <kwd>hybrid projects</kwd>
        <kwd>portfolio optimization</kwd>
        <kwd>risks</kwd>
        <kwd>value</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Today, the quality of services provided by trucking companies largely depends on the efficiency of
many organizations in various industries. It is impossible to provide quality transport services without
managing the activities of motor transport enterprises. At the same time, it is known [
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4">1-4</xref>
        ] that
effective management in many subject areas can be ensured on the basis of a project approach. Thus
for the performance of project management of activity of the enterprises and the organizations in
various applied branches tools of acceptance of administrative decisions which consider the
specificity of the subject branch are developed.
      </p>
      <p>
        All trucking companies that provide freight and human transportation services, despite their daily
operations, provide a variety of works that have all the hallmarks of projects called hybrids [
        <xref ref-type="bibr" rid="ref5 ref6 ref7 ref8">5-8</xref>
        ].
Such features include the timeliness of the services provided, the uniqueness, the uniqueness of the
result or product of the project, which provides value to stakeholders [
        <xref ref-type="bibr" rid="ref10 ref11 ref12 ref13 ref14 ref9">9-14</xref>
        ].
      </p>
      <p>Taking into account the features of hybrid projects of motor transport enterprises requires the
implementation of management processes of quality planning due to the effective formation of
portfolios of these projects. At the same time, the implementation of the process of forming portfolios
of projects of motor transport enterprises is quite time-consuming and requires the development of an
appropriate intelligent information system. The intelligent information system of project portfolios of
motor transport enterprises should be based on methods and models that adequately reflect the
specifics of hybrid projects and the project environment in which they are implemented.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Analysis of published data and problem setting</title>
      <p>
        Problems related to the introduction of digital technologies in the production and management
processes of trucking companies have been studied in scientific articles by many scientists around the
world [
        <xref ref-type="bibr" rid="ref15 ref16 ref17 ref18 ref19 ref20 ref21">15-21</xref>
        ]. However, due to the dynamic development of innovations in the field of transport, it
can be argued that not all tasks related to the management of trucking companies are widely reflected
in scientific publications.
      </p>
      <p>Many aspects of the implementation of project management, in particular in today`s conditions of
trucking companies, are still being discussed, as there is a shortage of comprehensive research and
development of software products that adequately ensure management decisions. This is due to the
fact that publications that explore the benefits of implementing intelligent information systems in
trucking companies focus on only a few aspects and, as a rule, do not provide opportunities for the
formation of project portfolios of trucking companies.</p>
      <p>
        Many scientific works are devoted to the development of intelligent information systems taking
into account the specifics of different subject areas [
        <xref ref-type="bibr" rid="ref22 ref23 ref24 ref25 ref26 ref27">22-27</xref>
        ]. Scientists use different approaches,
methods, models, and programming languages. There are also various intelligent information systems
used to plan projects and their portfolios [
        <xref ref-type="bibr" rid="ref28 ref29 ref30 ref31 ref32 ref33 ref34">28-34</xref>
        ], and their authors are convinced of the importance of
project management practice. Regarding the possibility of their use for the formation of project
portfolios of motor transport enterprises, they do not take into account the features of the objects of
management (hybrid projects for the provision of transport services), the specifics of the subject area,
and its environment. This, in turn, does not allow for the qualitative formation of portfolios of projects
of motor transport enterprises, as well as to quantify the risks of the value of stakeholders of hybrid
projects of motor transport enterprises.
      </p>
      <p>
        Based on the analysis of scientific works [
        <xref ref-type="bibr" rid="ref35 ref36 ref37 ref38 ref39 ref40">35-40</xref>
        ] it is established that the process of creating
intelligent information systems is largely not formalized. The ability to properly create an information
system to solve applied management problems requires first of all a justification of approaches that
will adequately reflect the object of management and its environment, identify and correctly formulate
criteria and constraints that are quite specific in trucking companies.
      </p>
      <p>Existing standards, guidelines, and results of scientific work on the design of intelligent
information systems determine both the organizational features of the creation of information systems
and regulate the composition and content of project documentation. However, they do not reveal the
essence of the process of creating information systems for the formation of project portfolios of motor
transport enterprises. This led to the expediency of substantiating the approach and models of forming
portfolios of hybrid projects of motor transport enterprises, which underlie the creation of an
appropriate intelligent information system.</p>
    </sec>
    <sec id="sec-3">
      <title>3. The purpose and objectives of the study</title>
      <p>The purpose of the work is to improve the model, as well as on its basis to create an intelligent
information system for the formation of portfolios of hybrid projects of motor transport enterprises,
taking into account the specifics of the subject area and changing characteristics of the project
environment.</p>
      <p>To achieve this goal should solve the following tasks:
 to substantiate the model of formation of portfolios of hybrid projects of motor transport
enterprises;
 to develop an intelligent information system and on the basis of its use to optimize the
portfolio of hybrid projects taking into account the changing characteristics of the project
environment.
where P – the set of і-th hybrid projects of motor transport enterprises, which are part of the
portfolio; Vрр – the value of the portfolio of hybrid projects of motor transport enterprises;  рр – the
variance of the value of the portfolio of hybrid projects of motor transport enterprises.</p>
      <p>The set of і-th hybrid projects of motor transport enterprises, which are part of the portfolio is:
where P1 ,P2 ,...Pі – the set of hybrid projects of the motor transport enterprises which are included in a
portfolio is set.</p>
      <p>The value of the portfolio of hybrid projects of motor transport enterprises is:</p>
      <p>PP  P, Vрр ,  рр ,</p>
      <p>P  P1 ,P2 ,...Pі ,</p>
      <p>Vрр  M Vр1  ,M Vр2  ,...M Vрі  ,</p>
    </sec>
    <sec id="sec-4">
      <title>4. Model of formation of portfolio of hybrid projects of motor transport enterprises</title>
      <p>Hybrid projects of motor transport enterprises are projects that arise during the operational
activities of motor transport enterprises, involve a limited number of actions aimed at providing
transport services with signs of uniqueness, limited resources, clarity of requirements for duration and
quality of product.</p>
      <p>
        The improved model of optimization of portfolios of hybrid projects of motor transport enterprises
is based on Markowitz`s theory [
        <xref ref-type="bibr" rid="ref35">35</xref>
        ], which takes into account the peculiarities of their
implementation and the changing design environment. In particular, the proposed model provides for
the selection of an effective portfolio of hybrid projects of trucking companies, taking into account the
requirements of stakeholders to risk and value (transport services provided and profits), as well as the
number of resources, spent and project budget. The choice of a rational portfolio of hybrid projects of
motor transport enterprises is based on the criterion of "value-risk". It is assumed that both the value
and risks of individual hybrid projects of trucking companies included in the portfolio for a given
design environment are variable and can be described by the relevant theoretical laws of distribution.
      </p>
      <p>According to the classical theory of Markowitz, the portfolio of hybrid projects of motor transport
enterprises can be represented by a number of components that characterize its features:
М Vpi   М  M v   М Vі  ,
where M Vр1  ,M Vр2  ,...M Vрі  – the mathematical expectation of the variable value of individual
hybrid projects of motor transport enterprises included in the portfolio during a given period Т  of
resource use (vehicles and contractors).</p>
      <p>
        To quantify the risks of stakeholders of hybrid projects of motor transport enterprises, we propose
to use a known model [
        <xref ref-type="bibr" rid="ref13 ref5">5, 13</xref>
        ]. It involves a combination of individual normal laws of distribution of
random variables in order to predict their value and quantify risk. Random value of predicted value
Vpi  from the implementation of hybrid projects of motor transport enterprises is estimated taking
into account the changing market and production conditions, which are described by the laws of
Gaussian distribution. Mathematical expectation of value Vpi  from the implementation of hybrid
projects of motor transport enterprises is determined by the formula:
where М  Mv  ,М Vі  – accordingly, the mathematical expectation of the specific market value of
transport services provided on the basis of the implementation of hybrid projects of motor transport
enterprises and the volume of investment in them, Euro/km.
      </p>
      <p>Provided that there is a close correlation between the specific market value of transport services
provided on the basis of the implementation of hybrid projects of motor transport enterprises and the
volume of investment in them during a given period, the standard deviation of profit  Vpi  from
hybrid projects of motor transport enterprises is determined by the formula:
(1)
(2)
(3)
(4)
where r – the correlation coefficient between the mathematical expectation of the specific market
value of transport services provided on the basis of the implementation of hybrid projects of motor
transport enterprises, and the amount of investment in them in a particular calendar year.</p>
      <p>
        To determine the efficiency of the portfolio of hybrid projects of trucking companies, it is
proposed to use the Sharpe coefficient [
        <xref ref-type="bibr" rid="ref41">41</xref>
        ], which is defined as the ratio of the average increase in
value for risk reduction to the average deviation of the portfolio of hybrid projects of trucking
companies:
      </p>
      <p>S </p>
      <p>M Р Vpp   Р Vpf  
 pp</p>
      <p>M Р Vpp   Р Vpf 
Var Р Vpp   Р Vpf 
,
where S – Sharpe`s ratio; M Р Vpp   Р Vpf  – the value growth due to the fact that the
mathematical expectation of the value of the portfolio of hybrid projects of motor transport enterprises
exceeds its value in the absence of risks; Р Vpp  – projected value of the portfolio of hybrid projects
of motor transport enterprises; Р Vpf  – the value of the portfolio of hybrid projects of motor
transport enterprises in the absence of risks;  pp – the average deviation of the value of the portfolio
of hybrid projects of motor transport enterprises.</p>
      <p>Such a portfolio of hybrid projects of motor transport enterprises is considered to be effective,
which provides a condition for obtaining the maximum predicted value of the portfolio with the same
average deviations of the value of other formed portfolios. In general, a portfolio of hybrid projects of
motor transport enterprises is considered effective if there is a high quantitative value for a given
benefit and the allowable value of risk.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Results of development and use of intellectual information system for optimization of hybrid project portfolio</title>
      <p>In order to accelerate and improve the quality of portfolio formation of hybrid projects of motor
transport enterprises, an appropriate intelligent information system has been developed. The proposed
architecture of the intelligent information system consists of a set of software modules, which are
identical in content to the architectural components presented in Figure 1.
(5)
(6)</p>
      <p>The modules of the proposed intelligent information system for the formation of portfolios of
hybrid projects of trucking companies have a three-tier architecture, which provides a presentation
level, i.e. a client program, which is an application for mobile platforms or personal computer, level
of business logic management and data access level to database management systems. For
highquality management of objects during the development of an intelligent information system, in
accordance with the proposed architecture model, three namespaces were allocated –
Data_Set_Table_Adapters and Portfolio_formation. Data_Set_Table_Adapters contains
Table_Adapters objects, which provide communication between the modules of individual
subsystems of the intelligent information system and the database. The Portfolio_formation
namespace implements two levels of architecture that provide data processing and user interaction.
Interaction with the user is implemented using the graphical interface of the developed software
application for PC in Python 3.9, the working window of which is shown in Figure 2. The
development of the user interface is performed using the Tkinter library, and the
informationanalytical subsystem involves the use of libraries Numpy, Pandas, Scipy.stats, Matplotlib with open
source for the Python programming language.</p>
      <p>The proposed intelligent information system for forming portfolios of hybrid projects of a motor
transport enterprise has been tested for adequacy according to the Mann-Whitney test. For this
purpose, the real indicators of the value of hybrid projects were compared, which were implemented
in the project environment of Mustang Trans LLC (Ustyluh, Volyn region) and obtained as a result of
using an intelligent information system. The deviations did not exceed 3.5%, which indicates the
adequacy of the proposed intelligent information system for the formation of portfolios of hybrid
projects of the trucking company.</p>
      <p>Optimization of the portfolio of hybrid projects was performed for the conditions of Mustang
Trans LLC. This company mainly provides transport services in Ukraine, so consider hybrid projects
at the state level. It is accepted that the implementation of such projects involved vehicles (truck
tractors DAF XF 105.460), available in the base company.</p>
      <p>Based on the use of an intelligent information system with initial data, which is presented in
Figure 3, the optimization of the portfolio of hybrid projects of the specified motor transport
enterprise is executed. This made it possible to form an optimal portfolio of 10 hybrid projects. There
is a maximum Sharpe ratio (characterizes the efficiency of investment in the portfolio compared to the
risk-free portfolio), which provides a probability of obtaining the projected value of the portfolio –
0.67, and a risk probability of 0.23, which corresponds to the minimum portfolio risk.</p>
      <p>It was found that project Nr1 has a maximum value of 40% of the value of the entire portfolio,
projects Nr8, Nr7, Nr4, and Nr3 have a value exceeding 10% of the value of the portfolio for Mustang
Trans LLC. They are included in the portfolio in descending order of value and available risk.</p>
      <p>The obtained research results are intended for use by project managers during the initiation and
planning of portfolios of hybrid projects of a trucking company. The use of this system will
significantly speed up and improve the quality of management decisions, as well as the effectiveness
of CPMTE.</p>
    </sec>
    <sec id="sec-6">
      <title>6. Conclusions</title>
      <p>The improved model of formation of portfolios of hybrid projects of motor transport enterprises is
based on Markowitz`s theory that provides optimization of the specified portfolio on the invested
investments which are estimated with the use of Sharp`s criterion “value-risk”. The proposed model
provides for systematic consideration of changing characteristics of the design environment and
provides qualitative forecasting of quantitative values of stakeholders at a given benefit and
acceptable value of risk.</p>
      <p>To accelerate and improve the quality of management decisions, an intelligent information system
for the formation of portfolios of hybrid projects of motor transport enterprises has been developed.
The proposed intelligent information system has a three-tier architecture (presentation level, level of
business logic management, and level of data access). Interaction with the user is implemented using
the graphical interface of the developed software application for PC in Python 3.9, which is
performed using Tkinter libraries. The information-analytical subsystem includes three modules (risk
and value assessment, project portfolio formation, and its optimization), which are created using the
libraries Numpy, Pandas, Scipy.stats, Matplotlib with open source code for the Python programming
language. The proposed intelligent information system was tested for adequacy and on the basis of its
use the portfolio of hybrid projects, which is implemented in the changing design environment of
Mustang Trans LLC, was optimized.</p>
    </sec>
    <sec id="sec-7">
      <title>7. References</title>
    </sec>
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