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A platform for research: civil engineering, architecture and urbanism
A Quantity-Based Method to Predict More Accurate Project Completion Time
https://orcid.org/http://orcid.org/0000-0003-3442-0444
https://orcid.org/http://orcid.org/0000-0002-4724-4745
https://orcid.org/http://orcid.org/0000-0002-2545-3837
‘Completion in time’ is a crucial element of project management. Previous studies show that earned value management (EVM), earned schedule method, or earned duration management do not give an accurate project completion time estimation (PCTE) because of theoretical weaknesses. Inaccurate PCTE may provide misleading information, so that the project manager cannot take effective schedule control actions timely, and thus it results in failure of project time management. To improve the above-mentioned problem, this research proposes a quantity-based project duration estimating method (Q-PDEM), which calculates the PCTE using the de facto work quantities and the updated productivity information of activities. The results of two case studies show that the proposed Q-PDEM gives a 7.55% better mean absolute percentage error (MAPE) than the existing methods for predicted project completion duration for Case I, and 24.54% for Case II. It is concluded that the proposed Q-PDEM gives a more accurate estimation of the time for project completion and allows more effective control of the project schedule.
A Quantity-Based Method to Predict More Accurate Project Completion Time
https://orcid.org/http://orcid.org/0000-0003-3442-0444
https://orcid.org/http://orcid.org/0000-0002-4724-4745
https://orcid.org/http://orcid.org/0000-0002-2545-3837
‘Completion in time’ is a crucial element of project management. Previous studies show that earned value management (EVM), earned schedule method, or earned duration management do not give an accurate project completion time estimation (PCTE) because of theoretical weaknesses. Inaccurate PCTE may provide misleading information, so that the project manager cannot take effective schedule control actions timely, and thus it results in failure of project time management. To improve the above-mentioned problem, this research proposes a quantity-based project duration estimating method (Q-PDEM), which calculates the PCTE using the de facto work quantities and the updated productivity information of activities. The results of two case studies show that the proposed Q-PDEM gives a 7.55% better mean absolute percentage error (MAPE) than the existing methods for predicted project completion duration for Case I, and 24.54% for Case II. It is concluded that the proposed Q-PDEM gives a more accurate estimation of the time for project completion and allows more effective control of the project schedule.
A Quantity-Based Method to Predict More Accurate Project Completion Time
https://orcid.org/http://orcid.org/0000-0003-3442-0444
https://orcid.org/http://orcid.org/0000-0002-4724-4745
https://orcid.org/http://orcid.org/0000-0002-2545-3837
‘Completion in time’ is a crucial element of project management. Previous studies show that earned value management (EVM), earned schedule method, or earned duration management do not give an accurate project completion time estimation (PCTE) because of theoretical weaknesses. Inaccurate PCTE may provide misleading information, so that the project manager cannot take effective schedule control actions timely, and thus it results in failure of project time management. To improve the above-mentioned problem, this research proposes a quantity-based project duration estimating method (Q-PDEM), which calculates the PCTE using the de facto work quantities and the updated productivity information of activities. The results of two case studies show that the proposed Q-PDEM gives a 7.55% better mean absolute percentage error (MAPE) than the existing methods for predicted project completion duration for Case I, and 24.54% for Case II. It is concluded that the proposed Q-PDEM gives a more accurate estimation of the time for project completion and allows more effective control of the project schedule.
A Quantity-Based Method to Predict More Accurate Project Completion Time
KSCE J Civ Eng
Chang, Hsien-Kuan (author) / Yu, Wen-Der (author) / Cheng, Tao-Ming (author)
KSCE Journal of Civil Engineering ; 24 ; 2861-2875
2020-10-01
15 pages
Article (Journal)
Electronic Resource
English
A fast and accurate method to predict reliability of project completion time
| DOAJ | 2017
A fast and accurate method to predict reliability of project completion time
| BASE | 2017
A fast and accurate method to predict reliability of project completion time
| BASE | 2017
Project: Kemano Completion Project
Online Contents | 1994
Taylor & Francis Verlag | 2001