Value analysis system development for water treatment plant maintenance method selection

2010 ◽  
Vol 37 (9) ◽  
pp. 1213-1223
Author(s):  
Jong-Won Seo ◽  
Pyung-Ki Jung ◽  
Min-Jae Lee

Even though the life span of a water treatment facility is relatively long, the decision-making process related to method selection for repair and reinforcement is generally influenced by an engineer's experience. These decisions should be made systematically after considering facility use, damage features, technical features, reconstruction costs, maintenance costs, and others. The purpose of this study is to provide a value analysis system for the effective selection of repairing and (or) reinforcing methods for water treatment plant concrete structures. Analysis of the concrete structure's damage type and maintenance records allowed the development of a value analysis system for more effective and systematic decision making. Performance evaluation criteria were established using a survey of field professionals as the decision basis. Weight for each performance criterion was determined by using the field personnel survey and the analytic hierarchy process (AHP) methodology. The rank rating standard for each performance evaluation criterion was established for each maintenance method type. Finally, an automated system was developed that can give guidance on repair and reinforcement method selection by applying proposed performance indices that are related to the maintenance method selection and the value analysis of the different methods.

2002 ◽  
Vol 2 (5-6) ◽  
pp. 143-148
Author(s):  
S. Choi ◽  
Z. Yun ◽  
J. Yoon ◽  
J. Kim ◽  
S. Hong ◽  
...  

2017 ◽  
Vol 6 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Zahra Ahmadli ◽  
Mohammad Fahiminia ◽  
Reza Ansari ◽  
Maryam Savadkouhi ◽  
Azita Anbaz ◽  
...  

Author(s):  
T Kabera ◽  
H Nishimwe ◽  
B Rutayisire ◽  
E Twagirayezu

2019 ◽  
Vol 8 (3) ◽  
pp. 20-42
Author(s):  
Sudipa Choudhury ◽  
Apu Kumar Saha

Water treatment plants (WTPs) are responsible for ensuring supply of healthy water to urban and rural consumers for drinking and other related purposes. But the arbitrary selection of a location for installation or relocation of WTPs often fails the purpose of the plant. Presently studies in location selection for water treatment plant are rare. Multi-criteria decision making (MCDM) methods and bagged polynomial neural networks (PNN) were found to be exemplary and easy to use tools for prediction, simulation and optimization of decision-making objectives. The present study tries to apply the advantages of MCDM and bagged PNNs in the identification of an ideal location for a surface water treatment plant. The most significant parameter is found to be WQI which represents the overall quality of water suitable for domestic use. The PNN models were developed with all the selected eight alternatives as input and output. The algorithms like GMDH, SFS, SMS, and QC were used to estimate the weight of connections in between the input and hidden; and hidden and output layers separately for each segment. The application of these two soft computation tools provides an opportunity to the decision maker in the selection of optimal location with the help of an objective and cognitive method.


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