Prospective scenarios analysis Impact on demand for oil and its derivatives after the COVID-19 pandemic

Rodrigues, Marcus Vinícius Gonçalves; Duarte, Thamires Eis; Santos, Marcos dos; Gomes, Carlos Francısco Sımões

doi:10.14488/bjopm.2021.039

Cited by 21 publications

(4 citation statements)

References 14 publications

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“…Step 5 -Conducting assessments 5.1 -Partial evaluation: Calculation of Absolute Dab Dominance and Outranking Rate ηab. The difference between the relative dominances dab -dba provides information on the absolute dominance Dab between the alternatives (6), where positive values of "Dab", indicate that alternative "a" dominated alternative "b".…”

Section: The Sapevo-m-nc Methodsmentioning

confidence: 99%

The SAPEVO-M-NC Method

Maêda

Basílio

Costa

et al. 2021

Frontiers in Artificial Intelligence and Applications

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This article aims to present with more details, the multicriteria decision aid SAPEVO-M-NC (Simple Aggregation of Preferences Expressed by Ordinal Vectors - Non-Compensatory - Multi Decision Makers). It is a new version of the SAPEVO-M method, of an ordinal, non-compensatory nature and with the possibility of acting by multiple decision makers. As a result, the method provides information on the partial weights, indicating the relative importance of the criteria for each of the decision makers, the relative dominance values and two evaluations on the performance of the alternatives: a partial one, which considers the absolute dominance indices, being used to assess existing dominance relationships; and a global one, which provides the performance rates of the alternatives, making it possible to order them as well as to carry out a sensitivity analysis on the observed performances, reflecting in greater transparency in the decision-making process.

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Section: The Sapevo-m-nc Methodsmentioning

confidence: 99%

The SAPEVO-M-NC Method

Maêda

Basílio

Costa

et al. 2021

Frontiers in Artificial Intelligence and Applications

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“…Due to COVID-19 and social distancing the demand for fuel dropped intensely. The way of working and the relationship between people had changed and adopted a new way during the pandemic [30]. The transportation industry prominent contributor to the economy of Nepal has been affected due to COVID-19.…”

Section: Literature Reviewmentioning

confidence: 99%

Pre and Post-COVID-19 Financial Performance of Oil and Gas Companies: An Absolute and Relational Study of Financial Variables

Anis¹,

Ali²,

Fatima³

2023

IJSDP

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The outbreak of COVID-19 affected all aspects of individuals at a worldwide level. It harmed the physically and economically of individuals, and lower the growth of economies, globally. India the third largest consumer of oil and gas was affected by the pandemic, negatively. The study is based on the data collected from the financial statements of Indian oil and gas companies available on the websites. The purpose of the study is to know the financial performance of the Indian oil and gas companies pre and post-COVID-19 pandemic period. The absolute and relational financial variables are applied to get the absolute trend and relational growth of the financial performance of Indian oil and gas companies in graphical form. To explore the profit-earning capacity, short-term paying ability, and long-term paying ability of the Indian oil and gas companies, profitability (profit before tax ratio) ratio, liquidity (current ratio) ratio, and solvency (Debt-Equity ratio) ratio were applied. From 2015 to 2021, the absolute values of revenues, total expenses, and profit before tax were applied to get the trend in graphical form while stacked column charts were prepared to compare the profitability, liquidity, and long-term paying ability of the Indian oil and gas companies. During the pandemic period, total revenues, total expenses, profits, and profitability declined while liquidity and solvency status was unaffected by COVID-19 in Indian oil and gas companies. The profitability of the smaller Indian oil and gas companies improved more than the larger Indian oil and gas companies after the COVID-19 pandemic. It is found that the large-scale production of Indian oil and gas companies was affected more than the smallerscale production of Indian and gas companies by the negativity of the pandemic COVID-19 due to fixed expenses.

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“…The study [20] exposes that military decisions are of great importance because they affect the sovereignty and security of countries. The MCDM methods have been applied to several recent military problems, such as [21][22][23][24][25][26]. The choice of personnel for missions or promotion in the military and other areas of knowledge is uncertain and subjective.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Approach to the Management of Military Human Resources through the ELECTRE-MOr Multicriteria Method

Costa¹,

Terra

Moreira

et al. 2022

Algorithms

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Personnel selection is increasingly proving to be an essential factor for the success of organizations. These issues almost universally involve multiple conflicting objectives, uncertainties, costs, and benefits in decision-making. In this context, personnel assessment problems, which include several candidates as alternatives, along with several complex evaluation criteria, can be solved by applying Multicriteria Decision Making (MCDM) methods. Uncertainty and subjectivity characterize the choice of personnel for missions or promotions at the military level. In this paper, we evaluated 30 Brazilian Navy officers in the light of four criteria and 34 subcriteria. To support the decision-making process regarding the promotion of officers, we applied the ELECTRE-Mor MCDM method. We categorized the alternatives into three classes in the modeling proposed in this work, namely: Class A (Promotion by deserving), Class B (Promotion by seniority), and Class C (Military not promoted). As a result, the method presented 20% of the officers evaluated with performance corresponding to class A, 53% of the alternatives to class B, and 26.7% with performances attributed to class C. In addition, we presented a sensitivity analysis procedure through variation of the cut-off level λ, allowing decision-making on more flexible or rigorous scenarios at the discretion of the Naval High Administration. This work brings a valuable contribution to academia and society since it represents the application of an MCDM method in state of the art to contribute to solving a real problem.

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Prospective scenarios analysis Impact on demand for oil and its derivatives after the COVID-19 pandemic

Cited by 21 publications

References 14 publications

The SAPEVO-M-NC Method

The SAPEVO-M-NC Method

Pre and Post-COVID-19 Financial Performance of Oil and Gas Companies: An Absolute and Relational Study of Financial Variables

A Systematic Approach to the Management of Military Human Resources through the ELECTRE-MOr Multicriteria Method

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