Open AccessApplication of Fuzzy theory in project scheduling
Author(s) -
N. Dayoub,
A. Stashevskiy,
S. M. Elroba,
M. R. Elshahate
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1687/1/012011
Subject(s) - computer science , scheduling (production processes) , project planning , fuzzy logic , operations research , dynamic priority scheduling , project management , industrial engineering , management science , mathematical optimization , artificial intelligence , schedule , systems engineering , engineering , mathematics , operating system
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).