Integrated Methodology for Project Risk Management

Cano, Alfredo; Cruz, M. Pilar de la

doi:10.1061/(asce)0733-9364(2002)128:6(473)

Cited by 181 publications

(59 citation statements)

References 14 publications

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“…Ours and other studies (11)(12)23) clearly suggest that every construction company should have a well-designed construction risk management system (CRMS) in place to properly identify, analyse, control, and manage safety and health risks at their construction sites. A well-designed CRMS should include all important factors identified by our regression modelling to optimise the cost-benefit ratio and significantly decrease the frequency and severity of occupational accidents in construction industry.…”

Section: Sandh -Safety and Healthmentioning

confidence: 92%

“…These findings are not a surprise, as younger and inexperienced workers get to do more physically demanding and riskier jobs. However, they do point out that this is the population that requires most attention and safety and health training (10)(11)14).…”

Section: Step 3: Asr Modellingmentioning

confidence: 99%

“…information about the risks and related accidents, absence of an accident analysis, poor risk assessment, and insufficient health and safety training, which includes low participation of workers in safety programs (11)(12).…”

mentioning

confidence: 99%

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Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach / Primjena regresijskog modela u analizi ključnih čimbenika koji pridonose težini nesreća u građevinskoj industriji u Iranu

Soltanzadeh

Mohammadfam

Moghimbeigi

et al. 2016

Archives of Industrial Hygiene and Toxicology

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Construction industry involves the highest risk of occupational accidents and bodily injuries, which range from mild to very severe. The aim of this cross-sectional study was to identify the factors associated with accident severity rate (ASR) in the largest Iranian construction companies based on data about 500 occupational accidents recorded from 2009 to 2013. We also gathered data on safety and health risk management and training systems. Data were analysed using Pearson's chi-squared coefficient and multiple regression analysis. Median ASR (and the interquartile range) was 107.50 (57.24-381.25). Fourteen of the 24 studied factors stood out as most affecting construction accident severity (p<0.05). These findings can be applied in the design and implementation of a comprehensive safety and health risk management system to reduce ASR.

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Section: Sandh -Safety and Healthmentioning

confidence: 92%

Section: Step 3: Asr Modellingmentioning

confidence: 99%

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Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach / Primjena regresijskog modela u analizi ključnih čimbenika koji pridonose težini nesreća u građevinskoj industriji u Iranu

Soltanzadeh

Mohammadfam

Moghimbeigi

et al. 2016

Archives of Industrial Hygiene and Toxicology

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“…Some research has attempted to assist in mitigating construction uncertainties associated with claims and disputes. Examples include predicting contractor failure (Russell and Zhai, 1996), evaluating and investing in construction projects under uncertainty (Ho and Liu, 2003), and developing an integrated method for project risk management from the owner's point of view (del Cano and de la Cruz, 2002).…”

Section: Background Literaturementioning

confidence: 99%

Contractor’s Financial Estimation based on Owner Payment Histories

Tran¹,

Carmichael

2012

OTMCJ

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“…Uncertainty can result in both opportunity and risk (del Caño, de la Cruz 2002). For example, potential changes in design or specification, such as those relating to the percentage of additions of fly ash or silica fume to concrete, can increase or decrease the final ICES.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Method for Analysing Uncertainty in the Sustainable Design of Concrete Structures

Cano

Cruz

Gómez

et al. 2016

Journal of Civil Engineering and Management

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Abstract.The model presented here is based on fuzzy arithmetic techniques and the MIVES method, which is based, in turn, on requirement trees, value analysis and the Analytic Hierarchy Process. Even though it encompasses the approach for assessing sustainability adopted by the Spanish Structural Concrete Code (EHE), the model can also be applied to concrete structures designed according to other structural codes. The EHE model serves to estimate the Structure's Contribution to Sustainability Index (ICES) and constitutes the first sustainability model included in a structural code. The ICES crisp model is inadequate in terms of managing the structural sustainability objective of medium and high uncertainty projects. In such cases, a method not only has to assess the potential sustainability index at the end of the project, but also the degree of uncertainty affecting compliance with the sustainability objective laid down by the client or promoter. The paper compares this model with a Monte Carlo simulation method conceived for the same purpose. The fuzzy method could be a better solution in specific cases of limited time or budget for creating the model.

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Integrated Methodology for Project Risk Management

Cited by 181 publications

References 14 publications

Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach / Primjena regresijskog modela u analizi ključnih čimbenika koji pridonose težini nesreća u građevinskoj industriji u Iranu

Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach / Primjena regresijskog modela u analizi ključnih čimbenika koji pridonose težini nesreća u građevinskoj industriji u Iranu

Contractor’s Financial Estimation based on Owner Payment Histories

Fuzzy Method for Analysing Uncertainty in the Sustainable Design of Concrete Structures

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