Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique – A case study for the Greek construction sector

Koulinas, Georgios K.; Marhavilas, P. K.; Demesouka, Olympia E.; Vavatsikos, Athanasios P.; Koulouriotis, Dimitrios E.

doi:10.1016/j.ssci.2018.10.017

Cited by 95 publications

(45 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Accident risks (e.g., risks of collision, impact, and fall), physical risks (e.g., risks of physical strain or consumption and being crushed), and environmental risks (e.g., risks of exposure to or contact with extreme temperatures, electric currents, and hazardous substances) are the three layers of the hierarchical structure of construction site safety 9 ) . To assess the need for information management, six items of the control category (i.e., occupational safety and health knowledge, policies, efficiency, productivity, collaboration, and funding) and five items of the mechanism category (i.e., professionalism, equipment, materials, time, and space) were used as components of functional modeling to summarize the decision-making mechanism regarding electrical safety on construction sites and the work characteristics related to electrical hazards 3 , 28 ) .…”

Section: Methodsmentioning

confidence: 99%

Early intervention mechanism for preventing electrocution in construction engineering

Shiau

2021

INDUSTRIAL HEALTH

View full text Add to dashboard Cite

The aim of this study is to establish an effective early intervention mechanism for construction engineering to prevent electrocution while improving labor safety and reducing the casualty risk. This study used narrative text analysis and the Haddon Matrix for data collection, and analyzed the causes from the 113 electrocution deaths among in the construction industry, the exhaustive chi-square automatic interaction detector algorithm was employed the segmentation of the correlations. Based on the theory of inventive problem solving, through IDEF0 (ICAM DEFinition) for function modeling was designed the early intervention mechanism. This study revealed the operating features related to electric shock hazards. Early intervention was introduced to reduce the relevant risks and establish safety mechanisms. The first contribution of this study is the determination of hazard correlations between operating features and conductive media, and entry point for the prevention of electrocutions. The second contribution is the suggestion of the establishment of inspection stations for electric tools, thereby ensuring that the portable power tools are safe. The final contribution is the joint application of TRIZ (Teoriya Resheniya Izobreatatelskikh Zadatch) and IDEF0, which establishing the pre-entry testing, strengthening safety mechanisms.

show abstract

Section: Methodsmentioning

confidence: 99%

Early intervention mechanism for preventing electrocution in construction engineering

Shiau

2021

INDUSTRIAL HEALTH

View full text Add to dashboard Cite

show abstract

“…In fact, due to the fuzzy nature of the decisionmaking process, they cannot express their opinions clearly and explicitly (Koulinas et al, 2019). Hence, the next contribution of this study was to use fuzzy AHP and fuzzy ANP models to determine the most appropriate business strategy.…”

Section: Comparison Of Fuzzy Multi-criteria Decision-making Methods Tmentioning

confidence: 99%

Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources

Tohidi

Ghorbani

Karbasi

et al. 2020

AOL

View full text Add to dashboard Cite

Given the growing competition in domestic and international agricultural product markets, choosing a business strategy compatible with requirements of marketing resources can guide agro-food firms to maintain and enhance competitive advantages. However, this is not as simple as it seems because the decision-making criteria expressed in a fuzzy manner and the relationship between them can be hierarchical or network-based. Therefore, the main goal of this study was to select the most suitable business strategy and to prioritize marketing resources for one of the major agro-food firms in Iran. To ensure the robustness of the results, both fuzzy analytic hierarchy process (AHP) and fuzzy analytic network process (ANP) were applied to prioritize business strategies and marketing resources. The results of both methods revealed that the differentiation strategy had the highest priority in terms of the experts' viewpoints. The results also showed that managerial and customer relationship capabilities were the most important criteria in selecting the differentiation strategy. According to the findings of the study, for the successful implementation of the differentiation strategy, company managers are recommended to take the following three main elements into huge consideration: financial conditions, paying attention to customer's needs and requirements, and the introduction of new products and services.

show abstract

“…Kramar and Topolsek (2018), Tang and Hsu (2018) used FAHP to evaluate the critical element of marketing strategic alliance development in the mobile telecommunication industry. Also, it was used to model the risk analysis and assessment of construction sites in Greece (Koulinas et al, 2019). A closed example application of FAHP in environmental management is in Choubin et al (2019) where it was applied in the analysis of gully erosion susceptibility.…”

Section: Overview Of Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

A fuzzy-analytic hierarchy process approach for measuring flood resilience at the individual property level

Proverbs

Oladokun

2020

IJBPA

View full text Add to dashboard Cite

PurposeRecent changes in climate, rainfall patterns, snow melt and rising sea levels coupled with an increase in urban development have increased the threat of flooding. To curb these threats and mitigate these damages, property-level approaches to improving resilience are now being encouraged as part of an integrated approach to flood risk management. This raises questions such as, what are the flood resilient attributes within individual properties, what is their importance and how can these be quantified. This research sought to develop a quantitative approach for the measurement of property-level flood resilience.Design/methodology/approachA synthesis of literature was undertaken to establish the main resilient attributes and their relevant sub-attributes. This process led to the development of a new method, named the Composite Flood Resilient Index (CFRI) to weight the attributes and sub-attributes of flood resilience based on their importance. The approach adopts the use of the fuzzy-analytic hierarchy process (F-AHP) approach to quantify flood resilience.FindingsThe implications of the proposed methodology in determining the flood resilience of individual property, including the potential use in retrofitting activities, and the benefits to a range of stakeholders are considered.Social implicationsThe methodology offers the potential to support the measurement of flood resilience of individual properties, allowing the identification and prioritisation of specific interventions to improve the resilience of a property.Originality/valueWhereas previous attempts to quantify flood resilience have adopted qualitative approaches with some level of subjectivity, this proposed methodology represents an important advancement in developing a scientific and quantitative approach.

show abstract

Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique – A case study for the Greek construction sector

Cited by 95 publications

References 45 publications

Early intervention mechanism for preventing electrocution in construction engineering

Early intervention mechanism for preventing electrocution in construction engineering

Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources

A fuzzy-analytic hierarchy process approach for measuring flood resilience at the individual property level

Contact Info

Product

Resources

About