{"title":"A MODEL FOR THE SELECTION OF THE INTERNATIONAL PROJECT MANAGEMENT METHODOLOGY BASED\n ON FUZZY-MULTIPLE ANALYSIS","authors":"L. Min","doi":"10.32347/2412-9933.2022.51.20-30","DOIUrl":null,"url":null,"abstract":"The article analyzes existing approaches to the creation of decision-making\n support tools for choosing a project management methodology, which showed that currently\n many different methods are used for software support in choosing a project management\n methodology, and most of them are multi-criteria decision analysis. In this study, it is\n proposed to use fuzzy-multiple analysis, the use of which will fully ensure that project\n metrics are taken into account when choosing a project management methodology. Among the\n alternatives of project management methodologies, the following four approaches were\n chosen: cascade Waterfall methodology, Spiral model, Scrum methodology, and Kanban. All\n of them are aimed at optimizing processes within the project team, facilitating and\n speeding up product development. But each methodology has its own characteristics,\n because it is calculated on different teams both in terms of composition and volume, and\n is adapted to different projects in different ways. The question of the correct\n selection of the methodology for a specific project is decided on the basis of data\n about it. The work highlights the characteristics of the project that are most important\n for international projects: project parameters and requirements, types of communication\n tools, project risk assessment, team parameters, etc. A total of twenty-five indicators.\n An important aspect in the development of the proposed model is that the solution to the\n task is complicated by the vagueness of the existing recommendations regarding the\n applicability of different methodologies in different cases and conditions, in\n particular for the development of projects not related to software development and\n having an international direction. It is proposed to solve this task by using\n questionnaires. Each parameter that describes the project in the questionnaire is\n considered as a set of possible values. Each methodology is considered from the point of\n view of its application for specific options of answers to questionnaire questions. The\n task of formalizing information for the given project management methodologies is\n solved, based on the application of the mathematical apparatus of fuzzy sets. At the\n same time, the membership function determines the degree of applicability of the\n methodology to the parameter that corresponds to the answer option of the question given\n in the questionnaire. An expert commission is elected to determine the appropriate\n functions of all the mentioned approaches. To determine the management approach that is\n most suitable for a given project, we estimate the distance from the project assessment\n to the methodology assessment. Of all the ways to determine the distances between fuzzy\n sets, the system chooses one or another metric, depending on the nature of the problem\n under consideration. Each of these metrics has its advantages and disadvantages, which\n become advantages in applications. It is possible to use several metrics to compare\n results. Based on the developed model, the program module \"Methodology Selection\" was\n created. This module, after entering all the data and processing it, gives the name and\n information about the international project management methodology that is optimal for\n the chosen project.","PeriodicalId":321731,"journal":{"name":"Management of Development of Complex Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management of Development of Complex Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32347/2412-9933.2022.51.20-30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article analyzes existing approaches to the creation of decision-making
support tools for choosing a project management methodology, which showed that currently
many different methods are used for software support in choosing a project management
methodology, and most of them are multi-criteria decision analysis. In this study, it is
proposed to use fuzzy-multiple analysis, the use of which will fully ensure that project
metrics are taken into account when choosing a project management methodology. Among the
alternatives of project management methodologies, the following four approaches were
chosen: cascade Waterfall methodology, Spiral model, Scrum methodology, and Kanban. All
of them are aimed at optimizing processes within the project team, facilitating and
speeding up product development. But each methodology has its own characteristics,
because it is calculated on different teams both in terms of composition and volume, and
is adapted to different projects in different ways. The question of the correct
selection of the methodology for a specific project is decided on the basis of data
about it. The work highlights the characteristics of the project that are most important
for international projects: project parameters and requirements, types of communication
tools, project risk assessment, team parameters, etc. A total of twenty-five indicators.
An important aspect in the development of the proposed model is that the solution to the
task is complicated by the vagueness of the existing recommendations regarding the
applicability of different methodologies in different cases and conditions, in
particular for the development of projects not related to software development and
having an international direction. It is proposed to solve this task by using
questionnaires. Each parameter that describes the project in the questionnaire is
considered as a set of possible values. Each methodology is considered from the point of
view of its application for specific options of answers to questionnaire questions. The
task of formalizing information for the given project management methodologies is
solved, based on the application of the mathematical apparatus of fuzzy sets. At the
same time, the membership function determines the degree of applicability of the
methodology to the parameter that corresponds to the answer option of the question given
in the questionnaire. An expert commission is elected to determine the appropriate
functions of all the mentioned approaches. To determine the management approach that is
most suitable for a given project, we estimate the distance from the project assessment
to the methodology assessment. Of all the ways to determine the distances between fuzzy
sets, the system chooses one or another metric, depending on the nature of the problem
under consideration. Each of these metrics has its advantages and disadvantages, which
become advantages in applications. It is possible to use several metrics to compare
results. Based on the developed model, the program module "Methodology Selection" was
created. This module, after entering all the data and processing it, gives the name and
information about the international project management methodology that is optimal for
the chosen project.