Occupational health and safety risk assessment in the domain of Industry 4.0

Adem, Aylin; Çakıt, Erman; Dağdeviren, Metin

doi:10.1007/s42452-020-2817-x

Cited by 25 publications

(22 citation statements)

References 21 publications

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“…Kahraman et al ( 2014 ) extended Buckley's ( 1985 ) fuzzy AHP approach based on type-1 fuzzy clusters into interval type-2 fuzzy clusters (Buckley, 1985 ; Çalık & Paksoy, 2017 ; Kahraman et al, 2014 ). The AHP technique was developed by Saaty (Saaty, 1980 ) and it has been used to find solutions to or help solve decision-making problems in various fields onward the day it was developed (risk assessment (Adem et al, 2018 ), green ergonomics (Adem et al, 2021 ), occupational health and safety (Adem et al, 2020 ), machine selection (Özceylan et al, 2016 ); site selection (Paul et al, 2021 ); vendor selection Gernowo & Surarso, 2021 ; data intelligence implementation (Merhi, 2021 ); green energy (Asadi and Pourhossein, 2021 )).…”

Section: Methodsmentioning

confidence: 99%

A comprehensive decision framework with interval valued type-2 fuzzy AHP for evaluating all critical success factors of e-learning platforms

et al. 2022

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The COVID 19 pandemic not only affected our health and social life in many aspects, but it also changed the classical way of training in classrooms and education preferences of society. As a solution various e-learning platforms were developed and preferred by many educational institutions where the individuals had the opportunity to try the advantages of e-learning platforms. Since the COVID-19 pandemic is neither the first nor the last epidemic, e-learning attracts more attention than ever before and the need for e-learning platforms is expected to be more in the near future. Thus it is necessary to define all critical success factors determining the efficiency of e-learning systems. E-learning platforms have advantages as well as disadvantages and comparisons involve uncertainties and qualitative assessments. A systematic approach should be used to determine the platforms' dimensions, features and weights of critical criteria. The motivation of our study is to determine the weights of all critical success criteria and offer a reliable method for evaluating e-learning platforms. In this study, the interval type-2 fuzzy Analytical Hierarchy Process was utilized to compare critical success factors of e-learning platforms. This is the most comprehensive study considering all critical success factors of e-learning platforms as an Multi Criteria decision Making problem, where 11 criteria and 106 sub-criteria were defined, evaluated and prioritized. This study provides an acceptable rationale for evaluations of e-learning platforms and the results of this study can be used in real-world performance evaluations.

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Section: Methodsmentioning

confidence: 99%

A comprehensive decision framework with interval valued type-2 fuzzy AHP for evaluating all critical success factors of e-learning platforms

et al. 2022

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“…Therefore, the preference of using the FAHP method in this study is justified because of its ability to handle uncertainties in the decision process and still being able to achieve the best alternative, as well as its success at previous studies of prioritizing indicators and more specifically OHS indicators (Bozbura et al, 2007;Govindan et al, 2017;Janackovic et al 2013;Adem et al, 2020).…”

Section: Fahp Methodsmentioning

confidence: 99%

Prioritization of occupational health and safety indicators using the Fuzzy-AHP method

Ferrari

Leal

Galdámez

et al. 2020

Prod.

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“…AHP is a hierarchical representation of a decision-making issue. Since the day it was developed, the AHP technique has been utilized in the solution of decision-making problems in many different fields including green ergonomics [31], Industry 4.0 [32], risk assessment [33,34], weapon selection [35], safety management [36], and equipment selection [37]. The calculation steps in the application part were adapted from Gu ¨ndog ˘du and Kahraman [29], and are presented as follows:…”

Section: Calculation Process Of Sf-ahpmentioning

confidence: 99%

Selection of suitable distance education platforms based on human–computer interaction criteria under fuzzy environment

Adem

Çakıt

Dağdeviren

2022

Neural Comput & Applic

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The rapid spread of the COVID-19 pandemic has affected not only the health industry but also the education sector. E-learning systems have recently become a compulsory part of all education institutions, including schools, colleges, and universities worldwide because of the COVID-19 pandemic crisis. The objectives of the current study were twofold: (1) to conduct an analytical approach for ranking of distance education platforms based on human–computer interaction criteria and (2) to identify the most appropriate distance learning platform for teaching and learning activities by using multi-criteria decision-making approaches. Selection criteria were grouped into human–computer interaction-related criteria, such as ease of use, possibility of causing mental workload, user-friendly interface design, presentation method, and interactivity. In the selection procedure, a spherical fuzzy extension of Analytical Hierarchy Process was utilized to identify the weights of selection criteria and to rank distance education platforms. The results revealed that the most important criterion was the possibility of causing mental workload while the most preferable e-learning system was identified as “A3”.

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Occupational health and safety risk assessment in the domain of Industry 4.0

Cited by 25 publications

References 21 publications

A comprehensive decision framework with interval valued type-2 fuzzy AHP for evaluating all critical success factors of e-learning platforms

A comprehensive decision framework with interval valued type-2 fuzzy AHP for evaluating all critical success factors of e-learning platforms

Prioritization of occupational health and safety indicators using the Fuzzy-AHP method

Selection of suitable distance education platforms based on human–computer interaction criteria under fuzzy environment

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