An entropy-based TOPSIS approach for analyzing and assessing crisis management systems in petrochemical industries

Salehi, Vahid; Zarei, Hemn; Shirali, Gholam Abbas; Hajizadeh, K.

doi:10.1016/j.jlp.2020.104241

Cited by 42 publications

(26 citation statements)

References 35 publications

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“…There are 44 case studies address the lack of accident causal factors' inter‐relation value. It is observed that accident analysis and causation modeling involve uncertainty in the analysis process 47–49 . The uncertainty may arise from inconsistent data and incomplete information on accident statistics.…”

Section: Resultsmentioning

confidence: 99%

A state of the art of the accident causation models in the process industries

Wicaksono

Ciptomulyono

Artana

et al. 2021

Process Safety Progress

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The comprehensive review of research literature in accordance with the implementations of the accident causation models enables knowledge incomes for the contributing authors towards the advancement of the accident causation methodologies for administering the accidents' causal factors. For obtaining this objective, the systematic literature review meta‐analysis are developed by evaluating the parameter indicator linked to the most utilized causation methods in addressing the contributing factors in process industries. The methodological review process called preferred reporting items for systematic reviews and meta‐analyses (PRISMA) is implemented in this paper due to its capability to integrate both systematic reviews and meta‐analysis. This systematic literature review deeply investigates 149 papers by a thorough reading from the filtered 387 manuscripts published in the academic SCOPUS databases during 1980–2020. Additionally, the statistical analysis t test is performed to identify the homogeneity of literature papers resulting from research conclusions. The suggested future improvement in the domain of accident causation models is the advancement of administering the accident causal factors' values of correlations and interdependencies. While particularly for quantified accident causation models, the adoption of uncertainty analysis needs to further developed as a research suggestion in the future.

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Section: Resultsmentioning

confidence: 99%

A state of the art of the accident causation models in the process industries

Wicaksono

Ciptomulyono

Artana

et al. 2021

Process Safety Progress

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“…A study in the field of crisis management was also used as an objective weighting method. Salehi et al [48] chose five petrochemical plants and evaluated their crisis management systems in three criteria: technical, human, and organizational. They calculated the weights of these criteria using the Entropy method.…”

Section: Recent Studies On Objective Weighting Methodsmentioning

confidence: 99%

Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

et al. 2021

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The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC (MEthod based on the Removal Effects of Criteria), to determine criteria’ objective weights. This method uses a novel idea for weighting criteria. After systematically introducing the method, we present some computational analyses to confirm the efficiency of the MEREC. Firstly, an illustrative example demonstrates the procedure of the MEREC for calculation of the weights of criteria. Secondly, a comparative analysis is presented through an example for validation of the introduced method’s results. Additionally, we perform a simulation-based analysis to verify the reliability of MEREC and the stability of its results. The data of the MCDM problems generated for making this analysis follow a prevalent symmetric distribution (normal distribution). We compare the results of the MEREC with some other objective weighting methods in this analysis, and the analysis of means (ANOM) for variances shows the stability of its results. The conducted analyses demonstrate that the MEREC is efficient to determine objective weights of criteria.

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“…The second aim of this study is to prioritize attribute and sub-attributes that can be used for the evaluation of the different economic sectors of India. Integration of Entropy and TOPSIS (Salehi et al 2020;Liu et al 2019;Wang et al 2007) approaches are evidently used in numerous applications of real life study. These approaches are chosen because they offer straightforward solutions for difficult decision-making problems and produce precise and efficient outcomes.…”

Section: Methodology Proceduresmentioning

confidence: 99%

barriers analysis of supply chain management during COVID-19 Pandemic in Indian Industries

Gupta

2022

Ind. Jour. Manag. & Prod.

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In today's supply chain, information sharing and accountability for goods is critical, accordingly to the principles of fiscal, environmental and social security, which have been also concentrating on in recent years, prioritize business process openness. The economic consequences of the COVID-19 outbreak and prevention strategies incorporate factors such as supply and demand shocks as a result of COVID-19. This paper investigates the sensitivity of the supply chain to the unfolding pandemic crisis by identifying the five main barriers for Indian manufacturing industries in the new COVID-19 time by employing a hierarchical approach, based on multi-criteria analysis. A hierarchical process-based multi-criteria approach has been used to evaluate COVID-19 influence and prioritized by Entropy and TOPSIS technique. The findings shows that local law enforcement obtained the highest weights among all the supply chain barriers operations in the COVID-19 time, and among the industries, airline, hotel, and automobile sectors have been most affected by the global crisis. The obtained findings will provide the strategic outputs for decision-makers to strengthen the supply chain following COVID-19 protocols.

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An entropy-based TOPSIS approach for analyzing and assessing crisis management systems in petrochemical industries

Cited by 42 publications

References 35 publications

A state of the art of the accident causation models in the process industries

A state of the art of the accident causation models in the process industries

Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

barriers analysis of supply chain management during COVID-19 Pandemic in Indian Industries

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