Development of a Fuzzy Based Pipe Condition Assessment Model Using PROMETHEE

Author(s):  
Yi Zhou ◽  
Kala Vairavamoorthy ◽  
Frank Grimshaw
2019 ◽  
Vol 258 ◽  
pp. 03003
Author(s):  
Sahaduta Linggar ◽  
Akhmad Aminullah ◽  
Andreas Triwiyono

Condition Assessment of assets is one of stages in assets management system that supports effective and efficient improvement and maintenance strategy. The objective of this paper is to develop a condition assessment model based on important components that build an asset. A building asset hierarchy is proposed in which four main categories that build spaces inside building is the principle element of evaluation. The Physical component in which selected as the variable of this research, based on Regulation of the Minister of Public Works of Indonesia no.24 in 2008 about building maintenance guidelines. Data are collected via questionnaires from experts to ranking and assign relative weights as model’s attribute using Confirmatory Factor Analysis (CFA) in Structural Equation Modeling (SEM) techniques. Multi attribute utility theory (MAUT) is used to calculate entire building condition based on rank and relative weight of selected components. This research model is applied to a case study dormitory of Universitas Gadjah Mada, located in Yogyakarta. Result of the research is condition of the entire building based on components that build spaces inside that building. This result of this research will assist owners and facility managers in select effective and efficient improvement and maintenance strategy for the building.


2018 ◽  
Vol 16 (1) ◽  
pp. 23-37 ◽  
Author(s):  
Alaa Hawari ◽  
Firas Alkadour ◽  
Mohamed Elmasry ◽  
Tarek Zayed

2020 ◽  
Vol 146 (8) ◽  
pp. 04020078
Author(s):  
Javad Sadeghi ◽  
Yousef Rahimizadeh ◽  
Amin Khajehdezfuly ◽  
Mohammad Rezaee ◽  
Esmaeil Rajaei Najafabadi

Author(s):  
Dalia Salem ◽  
Emad Elwakil

The poor healthcare facilities performance costs the USA tens billions of dollars each year. There are several factors affect the critical assets of healthcare facilities such as the physical condition of the facility, infection prevention, life safety, and hospital revenue loss. The objective of this research is to develop an asset condition assessment model for healthcare facilities. The model identifies several factors, especially the condition, capacity, and code compliance of a facility's infrastructure. The asset condition assessment model has been developed based on the mechanical, electrical and plumping systems and evaluates the asset condition based on its age, life expectancy, recent condition assessment and energy efficiency among other factors. The data was collected from different hospitals in Indiana. This model has been developed using the Regression analysis technique. The model has been validated through analytical and mathematical methods. Results showed average validity at 88.32%. The developed model will help the healthcare facilities managers to prioritize the budget allocation and to reduce the impact of consequences of asset failure, which will improve the healthcare infrastructure performance.


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