Iran Occupational Health

  Background and aims : The construction industry is known as one of the most dangerous industries according to itsunique nature . With the rapid developmentof construction inour country, thesafety problemsatconstruction siteshave becomeaserious problem . Therefore,paying attention tosafety,identifying its effective indicators and projects’ safetyevaluation is known as an essential issue for improvingsafety performanceof construction projects .

  Method: Regarding thefactors influencing sitesafetywhich have fuzzyand uncertainnature , grey fuzzy analysis has been used in evaluating model.Greytheory which is one of the multi-criteria decision-making methods is usedto solve problems with discrete, vague andincompletedata . Also Analytic Hierarchy Process (AHP) is used to determine weight of each index . Inthree different constructionprojects which are analyzed as case studies , the indicators affecting construction safety are identifiedand the site safetysetting is studied.

  Results: According to theresults,enoughequipment and preventive actions index obtained the highestweight( 0.307) andthe leastweight was for proper signage(0.018 ). Then, using grey fuzzy method , the currentsafety setting in three sites is evaluated and ranked . The safety setting of project 1 wasmoreappropriate.

  Conclusion : Comparing the results with the past research, experimental observations and feedback from risk assessment group demonstrate that this method is reliable and useful therefore, it is recommendedthat safetymanagersuse thismethod and also use factorsidentified in thisstudy for safety performanceassessmentand reducingconstruction projects accidents.

Background and aims: Today, the growth of high technology industry faces us to some problems like air pollution, work-related accidents and occupational diseases which make it necessary to use a HSE-MS management system in different projects. However, the implementation of this system need to spend some money and time, so because of the reduced of cost trend in some managers, they regardless of do that or do it imperfect.
Methods: In this paper, the value of the flow of the investment process in the HSE-MS system in the form of fuzzy numbers, using the method of return on capital investment (IRR) method, evaluated the economics of this investment under fuzzy environments. Also, this paper describes how to calculate the cost of accidents, how to calculate the amount of investment in the HSE-MS system, introducing the IRR method, introducing the theory of fuzzy sets, how to calculate fuzzy IRR, and finally, we describe the proposed method. The calculations are analyzed using the @RISK software.
Results: As you can see, the financial process resulting from the implementation of the HSE-MS management system is both economic and financially based on the FIRR method and the use of the @RISK software and implies the need for the implementation of a safety management system from an economic point of view. In other words, the average return on capital employed in the financial process resulting from the implementation of the HSE-MS management system, according to the IRR method, is almost 22%, much higher than the average market rate of 5%, and strongly emphasizes the economic nature of this financial process.
Conclusion: According to the findings of the recent study, Internal Rate of Return is between 14% and 18%, and is more than the market rate (7%). So it’s indicating that the investment in the aforementioned sector is very profitable and leads to returning capital over the next few years will be. In the other hand, investment in the safety, health and environmental sectors in addition to decreasing the risks of decreasing the job and thus reducing occupational accidents and job satisfaction leads to the profitability of projects.