F. Golbabaei, A. Azar, M. Ganji Kazemian,
Volume 4, Issue 2 (7-2014)
Abstract
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.
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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.
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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.
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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.
Mahdi Asghari, Parvin Nassiri, Mohammad Reza Monazzam, Farideh Golbabaei, Hossein Arabalibeik, Ali Akbar Shamsipour, Armin Allahverdy,
Volume 7, Issue 1 (4-2017)
Abstract
Introduction: To evaluate heat stress in the workplace different indices are used. But, none of these measures have been widely accepted. The aim of this study was to determine effective criteria in selecting a heat stress index and weighting of these criteria.
Material and Method: This study is a qualitative study that was designed and conducted within 10 stages. In the current study, effective criteria for choosing a heat stress index was determined by using Delphi technique and expert’s opinions (30 people), and then the fuzzy analytic hierarchy process was used for weighting and prioritization of these criteria.
Results: Analyzing the completed questionnaires by the experts and according to the percentage of respondents, 11 criteria were finally selected. “Simplicity” criteria by %76.6 had the highest percentage of response. But, the relative weight of this criteria was 0.041, and had the lowest weight after the “low cost” criteria. The criteria relating to the “Standard” item was 0.141as the highest relative weight.
Conclusion: It can be concluded that the first step to have a reliable and accurate measurement is to choose a proper and correct index. Based on specialists and expert’s opinions, standardization of the index is the most important selection criteria. Other criteria that must be considered were accuracy, reliability and good correlation with the physiological strain indices.
Gholam Abbas Shirali, Ameneh Golbaghi, Leila Nematpour,
Volume 10, Issue 4 (11-2020)
Abstract
Introduction: The development of residential and industrial areas has led to increasing gas consumption and overcrowding in gas supply networks. Accordingly, hazards and risks caused by human errors, processing and mechanical failures in pipelines, and gas leaks are on a rise. Several techniques have been so far proposed for identifying and controlling human errors. The main purpose of this study was to compare two human error evaluation techniques, namely, Human Error Template (HET) and Systematic Human Error Reduction and Prediction Approach (SHERPA) in gas supply operations using the analytic hierarchy process (AHP) to select a suitable method.
Material and Methods: This cross-sectional descriptive study was to identify the human error modes in one of the gas supply projects operating by Kurdistan Gas Company, Kurdistan, Iran. Different tasks in gas supply operations were accordingly determined by the health, safety, and environment (HSE) unit, then the ones susceptible to human errors were selected and analyzed through task analysis technique. The next step was to weight and rank the human errors by evaluating indexes based on many variables including accuracy, sensitivity, and quantity of the errors as well as usability, time, and education analysis using the Expert Choice software (ver. 11).
Results: According to the findings of this research, the criteria were ranked based on accuracy (0.339), sensitivity (0.322), quantity of errors (0.118), usability (0.116), time (0.056), education (0.050), and analysis. The inconsistency ratio was also equal to 0.1, which meant that the subjective judgments were accepted.
Conclusion: The results also showed that the analysis of human errors, using the HET, required less training and time, while the number of the detected errors and applicability in the SHERPA was greater. Considering the weight of the criteria, their importance in determining the superior technique and the weight of each one in relation to the criteria, the contribution of that method in the relevant criterion was expressed. Calculating the final weight of the techniques revealed that SHERPA with a weight of 0.53 was more practical compared with HET with a weight of 0.46.
