Application of Fuzzy theory in project scheduling

Project scheduling is considered one of the most important stages of project planning, and aims to optimize the use of available resources to obtain satisfactory results within the limits of time, cost, and quality. Previously, dealing with the issue of project scheduling was considered by some parameters as fixed values (such as the duration of project activities). Subsequently, cloudy theory allowed the development of new methods with the ability to deal with engineering problems in a realistic way close to human processing, relying on the user's knowledge and experience, and in cases of uncertain data. In this article, a research review of the use of motion blur theory to solve the project scheduling problem showed the potential ability to apply in multiple fields and its ability to integrate with other methods such as (genetic algorithm). © Published under licence by IOP Publishing Ltd.

Авторы
Dayoub N.1 , Stashevskiy A. 2 , Elroba S.M. 2, 3 , Elshahate M.R.3
Сборник материалов конференции
Издательство
Institute of Physics Publishing
Номер выпуска
1
Язык
Английский
Статус
Опубликовано
Номер
012011
Том
1687
Год
2020
Организации
  • 1 Department of Technology and Organization of Construction Production, Moscow State University of Civil Engineering, Moscow, 129337, Russian Federation
  • 2 Department of Civil Engineering, Academy of Engineering, Peoples' Friendship University of Russia, Moscow, 117198, Russian Federation
  • 3 Faculty of Engineering, Construction Engineering Department, Egyptian Russian University, Badr City, 11829, Egypt
Ключевые слова
Genetic algorithms; User experience; Engineering problems; Knowledge and experience; Potential ability; Project activities; Project planning; Project scheduling; Project scheduling problem; Research review; Scheduling
Дата создания
20.04.2021
Дата изменения
20.04.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/71724/
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