2016
DOI: 10.1061/(asce)cf.1943-5509.0000772
|View full text |Cite
|
Sign up to set email alerts
|

Deterministic and Probabilistic Lifecycle Cost Assessment: Applications to Nebraska Bridges

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
2
0
1

Year Published

2019
2019
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 1 publication
0
2
0
1
Order By: Relevance
“…This situation requires comparison in choosing the one that maximizes cost savings (Fuller, 2006). The LCCA analytical approach assists in the discovery of the most economical option that fulfills the project objectives and contributes essential data to the overall decision-making process (Hatami & Morcous, 2016) (Liu, 2015).…”
Section: Value Engineering and Life Cycle Cost Analysismentioning
confidence: 99%
“…This situation requires comparison in choosing the one that maximizes cost savings (Fuller, 2006). The LCCA analytical approach assists in the discovery of the most economical option that fulfills the project objectives and contributes essential data to the overall decision-making process (Hatami & Morcous, 2016) (Liu, 2015).…”
Section: Value Engineering and Life Cycle Cost Analysismentioning
confidence: 99%
“…Tujuan utama pada tingkat hierarki pertama yaitu bangunan rumah sakit hijau yang menyediakan ekologi, hemat air, hemat energi, pengurangan limbah dan lingkungan yang sehat bagi pasien dan staf [20]. LCCA deterministik adalah metodologi tradisional di mana pengguna menetapkan setiap variabel input (misalnya, masa pakai, periode analisis, tingkat diskonto, waktu dan biaya kegiatan pemeliharaan) nilai tetap yang biasanya didasarkan pada data historis dan penilaian pengguna [21].…”
Section: Hasil Penelitianunclassified
“…In a probabilistic analysis, the input parameters are stochastic variables based on assumed or documented mean and standard deviation values, and distribution function. Typically, probability distribution functions for the variables considered in the analysis are performed through Monte Carlo simulations (Hatami & Morcous, 2015). The random sampling model generally includes thousands of iterations that ultimately generates a probability distribution of the maintenance costs.…”
Section: Lcc -State-of-the-artmentioning
confidence: 99%