scholarly journals Rehabilitation of an Industrial Water Main Using Multicriteria Decision Analysis

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3180
Author(s):  
Nelson Carriço ◽  
Dídia Covas ◽  
Maria do Céu Almeida
Keyword(s):  
Decision Analysis ◽  
Robustness Analysis ◽  
Multicriteria Decision Analysis ◽  
Industrial Water ◽  
Pipe Failure ◽  
Problem Structuring ◽  
Multicriteria Decision ◽  
Assessment Metrics ◽  
Water Main ◽  
Selection Of

This paper demonstrates the application of multicriteria decision analysis (MCDA) methodology in a real case study aiming to choose the best rehabilitation intervention of an industrial water main. This methodology is composed of three main stages: problem identification, structuring, and evaluation. Problem structuring, a crucial stage for the outcomes, includes identifying objectives, selecting scenarios within the analysis period, defining problem alternatives, and defining the problematic type. Problem evaluation includes the selection of assessment metrics, selection of the aggregation method, application of the method, and a sensitivity and robustness analysis. Two scenarios, nine assessment metrics, and seven alternatives are established, and two ranking methods (the additive model and ELECTRE III method) are used to compare the alternatives. The results show that the best solution corresponds to building a new pipe and deactivating the existing one, as it significantly reduces the pipe failure risk and O&M costs, whereas the worst solution is always the status quo case, since it is the only alternative that does not improve the system performance, independently of the ranking method and the analyzed scenario.

scholarly journals Selection of invasive wild pig countermeasures using multicriteria decision analysis

2017 ◽  
Vol 574 ◽  
pp. 1164-1173 ◽  
Author(s):  
Matthew C. Brondum ◽  
Zachary A. Collier ◽  
Christopher S. Luke ◽  
Buddy L. Goatcher ◽  
Igor Linkov
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Selection Of ◽  
Wild Pig

scholarly journals Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Gimon de Graaf ◽  
Douwe Postmus ◽  
Erik Buskens
Keyword(s):  
Decision Analysis ◽  
Translational Research ◽  
Priority Setting ◽  
Ordinal Data ◽  
Multicriteria Decision Analysis ◽  
Published Data ◽  
Problem Structuring ◽  
Multicriteria Decision ◽  
Decision Context ◽  
Research Consortium

Translational research is conducted to achieve a predefined set of economic or societal goals. As a result, investment decisions on where available resources have the highest potential in achieving these goals have to be made. In this paper, we first describe how multicriteria decision analysis can assist in defining the decision context and in ensuring that all relevant aspects of the decision problem are incorporated in the decision making process. We then present the results of a case study to support priority setting in a translational research consortium aimed at reducing the burden of disease of type 2 diabetes. During problem structuring, we identified four research alternatives (primary, secondary, tertiary microvascular, and tertiary macrovascular prevention) and a set of six decision criteria. Scoring of these alternatives against the criteria was done using a combination of expert judgement and previously published data. Lastly, decision analysis was performed using stochastic multicriteria acceptability analysis, which allows for the combined use of numerical and ordinal data. We found that the development of novel techniques applied in secondary prevention would be a poor investment of research funds. The ranking of the remaining alternatives was however strongly dependent on the decision maker’s preferences for certain criteria.

VP64 Post-Graduation Selection Using Multi-Criteria Decision Analysis

2017 ◽  
Vol 33 (S1) ◽  
pp. 178-179
Author(s):  
Marisa Santos ◽  
Kátia Senna ◽  
Carlos Magliano ◽  
Jessica Baldissara
Keyword(s):  
Decision Analysis ◽  
Graduate Programs ◽  
Writing Skills ◽  
Value Theory ◽  
Degree Program ◽  
Scientific Writing ◽  
Multicriteria Decision Analysis ◽  
Full Time ◽  
Multicriteria Decision ◽  
Selection Of

INTRODUCTION:Selecting candidates for graduate programs is considered to be a complex task, often subject to failures, especially regarding to the appraisal of non-cognitive (1,2) skills (for example, Motivation). Identifying suitable candidates is important for the overall success of the graduate programs, since dropouts and low productivity negatively affect the program classification by the Brazilian Governmental Agency.This study aims to describe the use of Multicriteria Decision Analysis (3) in the selection of candidates for a master degree program in Health Technology Assessment (HTA).METHODS:The Multicriteria Decision Analysis (MCDA) technique was used to measure value in the selection of students applying for a masters degree program, in 2017, using Multi-Attribute Value Theory methods (MAVT) method. The examiners group consisting of full-time professors who selected the criteria, blinded ranked and assigned weight relative to each criterion, using swing weights technique, normalized to 100 percent. During the face to face interview with the students, each evaluator professor filled an individual spreadsheet based on pre-defined questions and curriculum analysis. The results were summarized with a mean. For criterion performance, a value from 0 until 3 was assigned if the candidate didn't meet the criterion, partially meet and fully meet. The performance scores were multiplied by the weight of each criterion, the results were summarized by simple additive model, and the candidates were ranked.RESULTS:An interview was conducted with the examining group evaluating MCDA asking for difficulties, time consumed and if the result was considered fair. Seven criteria were listed: “Comprehension of HTA”, “Motivation”, “Ability to disseminate information”, “Availability to attend the course”, “Scientific production”, “Potential to work in HTA area” and “Scientific writing skills”.The highest weight (24 percent) was attributed to the “Potential to work in HTA area” and “Scientific writing skills” (20 percent). The evaluating group was unanimous in considering the process easy, fast and fair.CONCLUSIONS:The MCDA technique was applied successfully in student selection. Further prospective studies are needed.

Selection of the Best Inland Waterway Structure: A Multicriteria Decision Analysis Approach

2015 ◽  
Vol 29 (8) ◽  
pp. 2733-2749 ◽  
Author(s):  
Mohammad Azizur Rahman ◽  
Lena Jaumann ◽  
Nils Lerche ◽  
Fabian Renatus ◽  
Ann Kathrin Buchs ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Analysis Approach ◽  
Multicriteria Decision ◽  
Inland Waterway ◽  
Selection Of

scholarly journals GIS-based Multicriteria Decision Analysis for Settlement Areas: A Case Study in Canik

2021 ◽  
Author(s):  
Cem Kilicoglu
Keyword(s):  
Decision Analysis ◽  
Natural Disasters ◽  
Urban Areas ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Flood Risks ◽  
Total Study Area ◽  
New Settlements ◽  
Settlement Areas ◽  
Selection Of

Abstract In addition to population growth throughout the world due to migration from rural to urban areas, population density is constantly increasing in certain regions, thereby necessitating the introduction of new settlements in these regions. However, in the selection of settlement areas, no sufficient preliminary examinations are conducted; consequently, various natural disasters may cause significant life and property losses. Herein, the most suitable settlement areas were determined using multicriteria decision analysis in Canik District, where the population is constantly increasing. Therefore, this study is aimed to incorporate a new perspective to the studies on this subject. Within the scope of the study, landslide and flood risks, which are among the most important natural disasters in the region, were primarily evaluated, and risky areas were determined. Thereafter, suitable and unsuitable areas in terms of biocomfort, which affect people’s health, peace, comfort, and psychology, and which are also significant in terms of energy efficiency, were determined. At the last stage of the study, the most suitable settlement areas that are suitable in terms of both biocomfort and low level of landslide and flood risks were determined; the calculated proportion of such areas to the total study area is only 2.1%. Therefore, because these areas are insufficient for the establishment of new settlements, areas with low landslide and flood risks but unsuitable for biocomfort were secondarily determined; the ratio of these areas was calculated as 56.8%. The remaining areas are inconvenient for the establishment of settlements owing to the risk of landslides and floods; the ratio of these areas was calculated as 41.1%. The study is exemplary in the respect that the priority for the selection of settlement areas is specified, which can be applied for selecting new settlements for each region considering different criteria.

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