Volume 4, Issue 2 (7-2014)                   JHSW 2014, 4(2): 37-50 | Back to browse issues page

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Golbabaei F, Azar A, Ganji Kazemian M. Designing a model for selection of air pollution control equipment using fuzzy logic . JHSW. 2014; 4 (2) :37-50
URL: http://jhsw.tums.ac.ir/article-1-5145-en.html
1- Professor of Department of Occupational Health Engineering, Faculty of Health, Tehran University of Medical Sciences
2- Professor of Department of Industrial Management, Faculty of Management and Economy, Tarbiat Modares University of Tehran , azara@modares.ac.ir
3- Msc.Industrial Management, Faculty of Management and Economy, Tarbiat Modares University of Tehran
Abstract:   (9811 Views)

Introduction: Air health is an important environmental issue which has been endangered in recent years due to application of advanced technologies used for improving the financial welfare and relative prosperity of humans. Making use of pollution control systems and refinement methods are some general ways to control environmental pollution. Since several different techniques of control, each with its advantages and disadvantages are employed in order to mitigate the spread of air pollution, the aim of current study was to design a fuzzy multi-attribute decision making model to select the most appropriate air pollution control equipment in Mashhad Shargh Cement Company.
Material and Method: After identifying the desired industry and also the production process, all factors affecting decision-making process including environmental factors, technical factors and economic factors were considered by utilizing Fuzzy Analytic Hierarchy Process method. Importance weight of these criteria was calculated and subsequently the priority of model choices were also determined using this approach.
Result: Among main criteria of the model, economic criteria was identified as the most important factor influencing the selection of the type of air pollution control equipment, with the wight of 0.555. Environmental and technical factors with weighting of 0,286 and 0,159 also gained the next priorities, respectively. Final weights of Electro filter, Baghouse and Hybrid filter technologies were calculated 0.256, 0.415 and 0.329 in cement mill unit and 0.291, 0.374 and 0.334 in material grinding and furnace unit, respectively.
Conclusion: Finally, the proposed model that is based on the Fuzzy Analytic Hierarchy Process indicates that the Baghouse Technique is the most appropriate technique for the purpose of dust filtration in major sources of air pollution spread in Shargh Cement Company.

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Type of Study: Research | Subject: Special
Received: 2014/06/30 | Accepted: 2014/06/30 | Published: 2014/06/30

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