Evaluating project completion time in project networks with discrete random activity durations

2009 ◽  
Vol 36 (10) ◽  
pp. 2716-2722 ◽  
Author(s):  
Maria Elena Bruni ◽  
Francesca Guerriero ◽  
Erika Pinto
Keyword(s):  
Completion Time ◽  
Project Networks ◽  
Project Completion ◽  
Random Activity

Project Completion Time and Cost Prediction Using Change Point Analysis

2015 ◽  
Vol 31 (5) ◽  
pp. 04014086 ◽  
Author(s):  
Seyed Taha Hossein Mortaji ◽  
Rassoul Noorossana ◽  
Morteza Bagherpour
Keyword(s):  
Change Point ◽  
Completion Time ◽  
Change Point Analysis ◽  
Cost Prediction ◽  
Project Completion ◽  
Point Analysis

ANALISIS PENERAPAN SISTEM PENJADWALAN DENGAN METODE PERT PADA PROYEK KONSTRUKSI (STUDI KASUS: REHABILITASI DAN PENINGKATAN INFRASTRUKSI PASAR TRADISONAL KOTA MALANG)

2021 ◽  
Vol 14 (2) ◽  
pp. 19
Author(s):  
Faris Rizal Andardi
Keyword(s):  
Completion Time ◽  
Total Duration ◽  
Infrastructure Projects ◽  
Scheduling System ◽  
Project Completion ◽  
Traditional Market ◽  
Simulation Results ◽  
Market Infrastructure

PERT is a simplified software, to produce the expected project completion probability based on the duration or duration of a particular contract. In developing the PERT method a lot of research was carried out to perfect this method. The purpose of this study is to determine the overall duration of project completion, the magnitude of the project probability that can be completed in less than 170 days and more than 170 days, and the project completion time with the highest probability. Results of Analysis of Implementation of Scheduling System with PERT Method in Rehabilitation and Improvement of Traditional Market Infrastructure Projects in Malang City is the total duration of simulation results obtained 168 days faster than the 172 day plan. The probability of completing the 168 day project is 50%, while the probability of completing the 172 day project is 85.31%. The highest chance of the project being completed is 99.97%, with a duration of 181 days.

A Quantity-Based Method to Predict More Accurate Project Completion Time

2020 ◽  
Vol 24 (10) ◽  
pp. 2861-2875
Author(s):  
Hsien-Kuan Chang ◽  
Wen-Der Yu ◽  
Tao-Ming Cheng
Keyword(s):  
Completion Time ◽  
Project Completion

Probabilistic network analysis for project completion time∗

1991 ◽  
Vol 8 (3) ◽  
pp. 179-184 ◽  
Author(s):  
Chandra S. Putcha ◽  
Sridhar J. K. Rao
Keyword(s):  
Network Analysis ◽  
Completion Time ◽  
Project Completion ◽  
Probabilistic Network

Simulation of Project Completion Time with Burr XII Activity Distribution

2017 ◽  
Vol 6 (4) ◽  
pp. 1-14 ◽  
Author(s):  
Enobong Udoumoh ◽  
Daniel Ebong ◽  
Iberedem Iwok
Keyword(s):  
Completion Time ◽  
Project Completion ◽  
Activity Distribution
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