scholarly journals The Analysis of Decision-making Items for Operation Management of Digital Twin Simulators for Sewage and Water Treatment Facilities

2021 ◽  
Vol 21 (6) ◽  
pp. 403-410
Author(s):  
Kihak Park ◽  
Seohyun Kim ◽  
Keugtae Kim
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Wastewater Treatment Plants ◽  
Influencing Factor ◽  
Drinking Water Treatment ◽  
Digital Twin ◽  
Decision Making Factors ◽  
Treatment Facilities ◽  
High Turbidity ◽  
Operating Factor

This paper addresses the derivation of decision-making factors for the operation and management of the Cyber Physical systems (CPS)-linked wastewater treatment plants (WWTPs) and drinking water treatment plants (DWTPs) simulator. The analytical hierarchy process (AHP) method was applied to evaluate the importance of each influencing factor on the operational elements targeting experts. Here, the experts were 37 people working for WWTPs and 30 people working for DWTPs, respectively. The analysis factors for decision-making were influent load, reactor capacity, treatment process, occurrence of high turbidity influent, risk, urgency, response, and recovery, and their relative importance was analyzed. Among the operational elements of WWTPs, influent fluctuations have been shown as the most important factor. Conversely, the possibility of occurrence was found to be the most important influencing factor. In the case of DWTPs, the inflow of high turbidity was found to be the main operating factor, and the influencing factors were the probability of occurrence and the degree of risk. Based upon the results obtained, this study is expected to contribute to the establishment of a stable system of both WWTPs and DWTPS by identifying influent fluctuations, which are a major influencing factor, and by controlling operation factors connected with the establishment of a digital twin simulation.

Drinking water treatment plant assessment through performance indicators

2008 ◽  
Vol 8 (3) ◽  
pp. 245-253 ◽  
Author(s):  
P. Vieira ◽  
H. Alegre ◽  
M. J. Rosa ◽  
H. Lucas
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Performance Assessment ◽  
Performance Indicators ◽  
Raw Materials ◽  
Treatment Plant ◽  
Drinking Water Treatment ◽  
Water Treatment Plant ◽  
Treatment Facilities ◽  
Definition Of

Performance assessment (PA) of urban infrastructure services, mainly in the case of water systems, is becoming a major issue worldwide. Therefore, in the last decade, the need for a clear definition of management objectives of water services and the subsequent need to monitor goals achievement have led to the development of some initiatives to tackle the evaluation of the efficiency of those services, their main aim being the definition of systems of performance indicators. However, these PA systems are strongly oriented by a management/economic perspective and technical aspects have often been ignored. In addition, none of them has specifically addressed the drinking water treatment. This paper presents a proposal for a PI system that applies to drinking water treatment facilities as a part of a standardised methodology for performance assessment. In total, ca. 80 PI have been defined and classified according to seven evaluation domains, namely: treated water quality; plant reliability; use of natural resources and raw materials; by-products management; safety; human resources; and, economical and financial resources.

Decision making with uncertainty: an example of water treatment approach selection

2012 ◽  
Vol 47 (2) ◽  
pp. 153-165 ◽  
Author(s):  
Shakhawat Chowdhury
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Pairwise Comparison ◽  
Multicriteria Decision Making ◽  
Drinking Water Treatment ◽  
Treatment Technology ◽  
Environmental Application ◽  
Hierarchy Level ◽  
Fuzzy Aggregation ◽  
Fuzzy Assessment

Decision makers often encounter uncertainty in selecting the best available option. Fuzzy multicriteria decision making aggregates different basic criteria through a hierarchy structure. This aggregation combines fuzzy assessment and priority matrices. When available data are imprecise, the assessment and priority matrices for different hierarchy level criteria are developed from expert judgments. In fuzzy aggregation, uncertainties in the assessment matrix are captured with fuzzy membership functions. The priority matrix is developed through pairwise comparison, in which the relative importance of the criteria is represented in crisp values; thus uncertainties associated with priority assignments are not incorporated in traditional fuzzy aggregation. This paper presents the application of a methodology to incorporate fuzziness in developing a priority matrix for environmental decision making. Fuzzy α-cut technique for different confidence intervals has been incorporated. The gradient eigenvector method has been followed to obtain consistency in constructing the priority matrix for different hierarchy level criteria. The max-min paired elimination method for hierarchical aggregation has been used to obtain the final fuzzy set. A case study for drinking water treatment technology evaluation is performed to present the potential environmental application of this approach, leading to the identification of the best treatment technology.

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