Performance evaluation of process industries resilience: Risk-based with a network approach

Namvar, Hashem; Bamdad, Shahrooz

doi:10.1016/j.jlp.2021.104474

Cited by 7 publications

(5 citation statements)

References 36 publications

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“…In literature, the safety performance of industries had been analyzed and measured through variety of research techniques indicating a broader horizon. Considering the recent studies, Namvar and Bamdad (2021) utilized the resilience perspective as a theory of safety management to evaluate process industries. The authors integrated the theory with the DEA methodology and found a strong evidence for the implementation of monitoring and assessment of risk in the sector.…”

Section: Literature Reviewmentioning

confidence: 99%

Safety Performance and Occupational Injuries of Workers (OIW): A DEA Efficiency Analysis

Noman

Fatima

Mujahid

2021

JAEBS

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The rapid pace of industrialization and sectoral transformation have not only induced rapid economic progress yet also engaged policy think tanks to consider the safety performance due to the increasing rate of injuries. These increasing workplace hazards have affected occupational efficiencies as well as worker’s performance. Hence, a comprehensive analysis of occupation injuries of workers (OIW) is crucial to determine the safety performance of high and low-risk industries in Pakistan. This study aims to incorporate the OIW for the estimation of the safety performance of industries employing Data Envelopment Analysis (DEA). This non-parametric technique allows calculating relative efficiencies incorporating inputs and outputs (both desirable and undesirable). The findings of the SBM-DEA model and sensitivity analyses pointed out improvements in the farm sector and demanded more comprehensive analyses for the non-farm sectors.

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Section: Literature Reviewmentioning

confidence: 99%

Safety Performance and Occupational Injuries of Workers (OIW): A DEA Efficiency Analysis

Noman

Fatima

Mujahid

2021

JAEBS

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“…Based on dynamic risks hierarchical management and control, an application tool "dynamic risks hierarchical management and control system" was developed. Namvar and Bamdad (2021) employed data envelopment analysis (DEA) to evaluate the relative efficiency and resiliency of process industries based on their internal structure and considering normal states, process upsets, and catastrophic events. The authors demonstrated that the developed methodology could be effectively used for monitoring and assessing risks during avoidance, survival, and recovery phases of the system.…”

Section: Green Open Access Added To Tu Delft Institutional Repositorymentioning

confidence: 99%

Special issue: Risk-based approaches to design and operation of process systems

Khakzad

Yang²

2021

Journal of Loss Prevention in the Process Industries

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“…The research focuses on urban resilience (Li, Lin, et al, 2019; Zhou, Zhu, et al, 2021), community resilience (Hong et al, 2021), ecological resilience (Arani et al, 2021; Li, Kappas, & Li, 2018; Mallick, 2021), and economic resilience (Alexander et al, 2020). The research perspectives mainly include disaster prevention and mitigation (Feofilovs & Romagnoli, 2021), public management (Assefa & Hans‐Rudolf, 2016; Bhagavathula et al, 2021), industrial development (Namvar & Bamdad, 2021), planning guidelines (Krab et al, 2020), and supporting infrastructure construction. Moreover, the research on resilience focuses primarily on qualitative analysis, and the quantitative analysis is insufficient (Chen et al, 2019; Folke, 2016; Hong et al, 2021; Li, Yin, & Li, 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal evolution and the detection of key drivers in the resilience of cultivated land system in major grain‐producing regions of China

Jin

Liu

et al. 2023

Land Degrad Dev

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Evaluation and improvement of cultivated land system resilience (CLSR) play a significant role in the sustainable development of cultivated land. From the perspective of multifunction of cultivated land, this study revealed the spatiotemporal evolution of CLSR in China's major grain‐producing regions during 2000–2020 by catastrophe model based on a comprehensive evaluation system including production resilience (PR), ecological resilience (ER), and economic resilience (CR), and further identified the key drivers to find scientific paths to improve CLSR. The results demonstrated that the CLSR had significant spatiotemporal differences and stayed at a low level but showed a steady rise. In terms of spatial scope, the number of provinces with middle‐ and high‐grade resilience had increased from 0 to 10. As for time variation, the CLSR showed an upward trend, from 0.78 to 0.95. PR and CR were similar to CLSR, showing an increased tendency, while ER displayed the characteristics of first decreased and then increased. As for the key drivers, PR played a central role in the CLSR, the effect of CR on CLSR was weakened, while the ER was gradually strengthened. Specifically, the stability of grain production, effective irrigated area rate, agricultural pollution, and the contribution of agriculture to GDP were the key factors to CLSR. Hence, stabilizing cultivated land areas, controlling nongrain growing phenomena, strengthening agricultural infrastructure construction, promoting ecological restoration of cultivated land, and ensuring economic contribution of cultivated land were effective ways to improve CLSR.

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Performance evaluation of process industries resilience: Risk-based with a network approach

Cited by 7 publications

References 36 publications

Safety Performance and Occupational Injuries of Workers (OIW): A DEA Efficiency Analysis

Safety Performance and Occupational Injuries of Workers (OIW): A DEA Efficiency Analysis

Special issue: Risk-based approaches to design and operation of process systems

Spatiotemporal evolution and the detection of key drivers in the resilience of cultivated land system in major grain‐producing regions of China

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