Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)

The CPM (critical path method) technique is to search out the longest path to try and do activities, so as to compress and cut back the time it takes for a project, which finally ends up inside the creation of an identical and intensive network of activities inside the targeted work. This formal ran...

Full description

Bibliographic Details
Main Authors: Mohmmad Anvar Adibhesami, Ahmad Ekhlassi, Ali Mohammad Mosadeghrad, Amirhossein Mohebifar
Format: Article
Language:English
Published: Iran University of Science & Technology 2019-06-01
Series:International Journal of Industrial Engineering and Production Research
Subjects:
Online Access:http://ijiepr.iust.ac.ir/article-1-883-en.html
_version_ 1818723498635296768
author Mohmmad Anvar Adibhesami
Ahmad Ekhlassi
Ali Mohammad Mosadeghrad
Amirhossein Mohebifar
author_facet Mohmmad Anvar Adibhesami
Ahmad Ekhlassi
Ali Mohammad Mosadeghrad
Amirhossein Mohebifar
author_sort Mohmmad Anvar Adibhesami
collection DOAJ
description The CPM (critical path method) technique is to search out the longest path to try and do activities, so as to compress and cut back the time it takes for a project, which finally ends up inside the creation of an identical and intensive network of activities inside the targeted work. This formal random simulation study has been recognized as a remedy for the shortcomings that are inherent to the classic critical path technique (CPM) project analysis. Considering the importance of time, the cost of activities within the network, and rising the calculation of the critical path during this study, Critical Path technique has been applied to improve critical routing intelligence. This study, by simulating and analyzing dragonflychr('39')s splotched and regular patterns, has obtained the precise algorithm of attainable paths with the smallest amount cost and time for every activity. This has been done to put down the restrictions and enhance the computing potency of classic CPM analysis. The simulation results of using Dragonfly Algorithm (DA) in CPM, show the longest path in shortest time with the lowest cost. This new answer to CPM network analysis can provide project management with a convenient tool.
first_indexed 2024-12-17T21:11:29Z
format Article
id doaj.art-d0b48a50aa3b4fbcb67d7a7f71003397
institution Directory Open Access Journal
issn 2008-4889
2345-363X
language English
last_indexed 2024-12-17T21:11:29Z
publishDate 2019-06-01
publisher Iran University of Science & Technology
record_format Article
series International Journal of Industrial Engineering and Production Research
spelling doaj.art-d0b48a50aa3b4fbcb67d7a7f710033972022-12-21T21:32:27ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2019-06-01302187194Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)Mohmmad Anvar Adibhesami0Ahmad Ekhlassi1Ali Mohammad Mosadeghrad2Amirhossein Mohebifar3 Iran University of Science and Technology, Narmak Avenue, 16846-13114, Tehran, Iran Iran University of Science and Technology, Narmak Avenue, 16846-13114, Tehran, Iran Tehran University of Medical Sciences University Tarbiat Modares The CPM (critical path method) technique is to search out the longest path to try and do activities, so as to compress and cut back the time it takes for a project, which finally ends up inside the creation of an identical and intensive network of activities inside the targeted work. This formal random simulation study has been recognized as a remedy for the shortcomings that are inherent to the classic critical path technique (CPM) project analysis. Considering the importance of time, the cost of activities within the network, and rising the calculation of the critical path during this study, Critical Path technique has been applied to improve critical routing intelligence. This study, by simulating and analyzing dragonflychr('39')s splotched and regular patterns, has obtained the precise algorithm of attainable paths with the smallest amount cost and time for every activity. This has been done to put down the restrictions and enhance the computing potency of classic CPM analysis. The simulation results of using Dragonfly Algorithm (DA) in CPM, show the longest path in shortest time with the lowest cost. This new answer to CPM network analysis can provide project management with a convenient tool.http://ijiepr.iust.ac.ir/article-1-883-en.htmlcpmdragonfly algorithmsimulationthe least cost and time.
spellingShingle Mohmmad Anvar Adibhesami
Ahmad Ekhlassi
Ali Mohammad Mosadeghrad
Amirhossein Mohebifar
Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)
International Journal of Industrial Engineering and Production Research
cpm
dragonfly algorithm
simulation
the least cost and time.
title Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)
title_full Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)
title_fullStr Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)
title_full_unstemmed Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)
title_short Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)
title_sort improving time cost balance in critical path method cpm using dragonfly algorithm da
topic cpm
dragonfly algorithm
simulation
the least cost and time.
url http://ijiepr.iust.ac.ir/article-1-883-en.html
work_keys_str_mv AT mohmmadanvaradibhesami improvingtimecostbalanceincriticalpathmethodcpmusingdragonflyalgorithmda
AT ahmadekhlassi improvingtimecostbalanceincriticalpathmethodcpmusingdragonflyalgorithmda
AT alimohammadmosadeghrad improvingtimecostbalanceincriticalpathmethodcpmusingdragonflyalgorithmda
AT amirhosseinmohebifar improvingtimecostbalanceincriticalpathmethodcpmusingdragonflyalgorithmda