scholarly journals Development and implementation of a computational tool for the multi-criteria decision analysis method proppaga: case study of the sorting of hospital assistance ships of the brazilian navy to face the COVID-19 pandemic / Desenvolvimento e implementação de uma ferramenta computacional para o método multicritério de análise de decisão proppaga: estudo de caso da classificação dos navios de assistência hospitalar da marinha brasileira para enfrentar a pandemia de COVID-19

2021 ◽  
Vol 7 (10) ◽  
pp. 97813-97830
Author(s):  
Felipe Barbosa Dos Santos ◽  
Marcos Dos Santos ◽  
Paulo César Pellanda
Keyword(s):  
Decision Analysis ◽  
Decision Maker ◽  
Selection Problem ◽  
Analysis Method ◽  
Simple Application ◽  
Computational Tool ◽  
Computational Tools ◽  
Multi Criteria Decision Analysis ◽  
Preferable Alternative

The multi-criteria decision analysis (MCDA) methods seek to support the decision-maker in choosing the most preferable alternative among the various possible ones, considering the criteria that characterize this preference. However, this task can become very complex, depending on the method used. This is because the algorithms of the methods are not always of a simple application. In this way, it is indispensable to develop computational tools that apply the algorithms of MCDA methods, making it feasible to use them. In this context, the computational tool presented in this article was developed. It uses the PrOPPAGA method in the selection problem of the Brazilian Navy's Hospital Assistance Ship Class of (HAS) to cope with the COVID-19 pandemic. The main contribution of this article is to present a tutorial for using this tool, to make its use feasible by society.

Using multi criteria decision analysis to evaluate nanotechnology: nAg enabled textiles as a case study

2017 ◽  
Vol 4 (8) ◽  
pp. 1647-1655 ◽  
Author(s):  
Andrea L. Hicks
Keyword(s):  
Decision Analysis ◽  
Multi Criteria Decision Analysis

Nanosilver enabled textiles represent an advancement in clothing technology, due to their antimicrobial nature.

Risiko- und Notfallmanagement unter Unsicherheit (Teil 2)

2011 ◽  
Vol 52 (2) ◽  
pp. 12-16
Author(s):  
Jutta Geldermann ◽  
Valentin Bertsch ◽  
Florian Gering
Keyword(s):  
Monte Carlo ◽  
Decision Analysis ◽  
Supply Chains ◽  
Decision Processes ◽  
Decision Makers ◽  
Decision Situation ◽  
Multi Criteria Decision Analysis ◽  
Accident Scenario ◽  
Complex Decision

Komplexe Entscheidungssituationen, wie sie beispielsweise im Notfall- und Sanierungsmanagement nach einem kerntechnischen Störfall auftreten, erfordern eine Berücksichtigung technischer, ökonomischer, ökologischer, sozio-psychologischer und politischer Aspekte. Ansätze der Mehrzielentscheidungsunterstützung ermöglichen eine aggregierte Betrachtung verschiedener Aspekte, das Miteinbeziehen der subjektiven Präferenzen der Entscheidungsträger und tragen zu mehr Transparenz und Nachvollziehbarkeit von Entscheidungsprozessen bei. Dieser Beitrag befasst sich schwerpunktmäßig mit der Betrachtung von Unsicherheiten in solchen Entscheidungsprozessen. Zur Modellierung, Fortpflanzung und Visualisierung von Unsicherheiten wird ein Monte-Carlo-Ansatz vorgestellt und beispielhaft auf Daten eines fiktiven nuklearen Unfallszenarios angewendet. Generell ist der Ansatz jedoch auf allgemeine komplexe Entscheidungssituationen erweiterbar, insbesondere auf den Bereich sonstiger industrieller Notfälle. Eine interessante Fragestellung besteht weiterhin in der Untersuchung der Auswirkungen industrieller Notfälle auf die gesamte Wertschöpfungskette. Der erste Teil des Aufsatzes wurde bereits in Der Betriebswirt 1/2011 veröffentlicht, der letzte Teil folgt in Ausgabe 3/2011. Complex decision situations, such as in nuclear emergency and remediation management, require the consideration of technical, economic, ecological, socio-psychological and political aspects. Approaches for Multi-Criteria Decision Analysis (MCDA) help to take into account various incommensurable aspects and subjective preferences of the decision makers and thus contribute to transparency and traceability of decision processes. This paper focuses on the handling of uncertainties in such decision processes. Monte Carlo approaches can be used to model, propagate and finally visualise the uncertainties, as a case study on a hypothetical radiological accident scenario illustrates. In general, the presented approach can be adopted for any complex decision situation, especially for industrial emergencies. Further research would be necessary for the analysis of their consequences for entire supply chains. Keywords: risiko und notfallmanagement unter unsicherheit

scholarly journals Comprehensive Assessment of Water Sensitive Urban Design Practices based on Multi-criteria Decision Analysis via a Case Study of the University of Melbourne, Australia

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2885
Author(s):  
Hanxiang Xiong ◽  
Yafei Sun ◽  
Xingwei Ren
Keyword(s):  
Decision Analysis ◽  
Urban Design ◽  
Comprehensive Assessment ◽  
Multi Criteria Decision Analysis ◽  
Water Sensitive Urban Design ◽  
Final Score ◽  
Green Stormwater Infrastructure ◽  
A Site ◽  
The University

Water sensitive urban design (WSUD), as a typical green stormwater infrastructure (GSI), contains various facilities to decrease the urbanization impacts and enhance the values of amenity, ecosystem, and livability in Australia. Although WSUD has developed over 30 years, existing studies for WSUD performances have sometimes ignored its economic and social benefits, and there is still a lack of an integrated framework to optimize the GSI combinations based on various criteria in a site. This paper aims to utilize “score-rank-select” strategy to comprehensively assess WSUD combination scenarios from functional, economic, social, and environmental aspects, by taking the University of Melbourne (Parkville campus) as a case study. In detail, multi-criteria decision analysis (MCDA) was used for weight determination and scenario comparison. The results showed that scenario 4 with 52% green WSUD facilities had the highest assessment score (0.771) among the five scenarios, while the final score (0.758) of scenario 5 was lower than scenario 4 although its green facility proportion reached 69%. The trade-off relation between the proportion of grey and green WSUD facilities was further demonstrated. Additionally, this paper strongly recommends that the MCDA-based comprehensive assessment framework described here can be generally promoted for the water sector to solve the decision-making problems. The use of such a framework can further promote sustainable development by helping water managers to make informed and inclusive decisions involving a variety of factors.

TODA

2018 ◽  
Vol 10 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Cida Sanches ◽  
Samuel Ferreira Jr ◽  
Givaldo Santos ◽  
Marisa Regina Paixão ◽  
Manuel Meireles
Keyword(s):  
Decision Analysis ◽  
Objective Function ◽  
Analysis Method ◽  
Case Study Method ◽  
Application Process ◽  
Ahp Method ◽  
Trade Off ◽  
Software Application

This paper describes the use and application of the TODA (Trade-off Decision Analysis) method through a case study. The method uses the concept of trade-off applied to a prioritization matrix and, to define the weights, it takes the concept of causality into account. Studies have shown that the TODA achieves the same results as the competing AHP method. However, it is easier to operate. The methodology used is a case study concerning the choice of the type of car for a fleet of vehicles to be driven by salespeople. Together with the software application process, the methods that aided the weighting of the criteria are described and how the values of the alternatives are converted into coefficients of the objective function. The results clearly show that the method is easily applied, but the limitations of the case study method preclude forming generalizations.

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