elahe shakeri kenari; Abdolhamid Safaei Ghadikolaei
Abstract
Abstract: Maintenance and Repairment is important, because Efficient Management can be very Effective in Countinuity Production Lines and Reduce Costs. This Problem is very important in power plants as the main resource of energy supply in the country. The Purpose of This Paper is to Presentation a Practical ...
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Abstract: Maintenance and Repairment is important, because Efficient Management can be very Effective in Countinuity Production Lines and Reduce Costs. This Problem is very important in power plants as the main resource of energy supply in the country. The Purpose of This Paper is to Presentation a Practical Approach to Determine Maintenance Strategy that is Suitable for any Device. In This Regard, the Fuzzy FMEA Approach and Design Fuzzy Inference System Evaluated the Risk of Critical Failures; as well as the Intensity also was assessed for Futher Investigation; Combining these Results, Appropriate Maintenance Strategy each Device was Determined. The Results Show, the “Generator” as the main unit of Electricity Production in Power Plants, with the Risk Priority Number of 6.56 and Intensity of 0.55 in the Fourth Dimention of Graph RPN-TI has been. In This Case, the Appropriate Strategy for this Device, the Maintenance Strategy is Proactive. Since the Devices include: Ayrpryhytr, Turbine Condenser, F-D Fan and Electro-motor with RPN high and Low TI; in the Third Dimention of Graph have been, Strategy Condition- based on the Situation is the Appropriate Strategy for their Maintenance.
Hamed Rahmani; Morteza Moosakhani; Gholamreza Memarzade Tehran; Karamollah Daneshfard; Abolfazl Kazemi
Abstract
Referring to a variety of media and news headlines, we can figure out the increase in the phenomenon of corruption in the country. One of the applied mechanisms by international organizations like international transparency and global bank is applying Governance Model to combat against Corruption. There ...
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Referring to a variety of media and news headlines, we can figure out the increase in the phenomenon of corruption in the country. One of the applied mechanisms by international organizations like international transparency and global bank is applying Governance Model to combat against Corruption. There are different theories about good governance and the most controversial one is the mechanism of social control. In this theory, an appropriate model for governance in government systems is the combination of police power (force), exchange and persuasion in a variety of organizations. The aim of this study is to identify this combination in different organizations to combat against corruption. The present study is a developed research kind that has utilized Fuzzy Inference System for identification the mixture of three forces. For constructing fuzzy rules in the present study, we have applied mixed method of Shannon entropy and Delphi analysis. Shannon entropy has been used for analyzing the coefficients of the components of corruption in the organizations and as an "if" part of the rules, furthermore Delphi analysis has been applied for analysis of the combination of the social control or as a "then" part of the rules. The results of the study were applied as an " if and then" rules for analyzing six areas of a model. The three areas, related to Grand Corruption, included law enforcement agencies, financial and normative as well as three other areas related to Petty Corruption including law enforcement organizations, financial and normative. These procedures were applied in Fuzzy Inference System and the results have been analyzed
Keyvan Shahgholian; Meysam AlizadehSiyahkal
Abstract
One of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper aims ...
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One of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper aims to provide a model to aid industry managers’ decision-making process for choosing the most appropriate production flow layout pattern with respect to the amount of waste in production units. This model considers inventory level, transport, lead time and product quality. To evaluate and choosing layouts based on the forgoing criteria, a fuzzy inference system was employed. The system input is rating of each layout of production flow for each criterion, which was obtained by ANP method, and its output is the amount of waste of each layout for production flow. In order to simulate the proposed fuzzy inference system, Matlab software was utilized. Finally, product layout with a quantitative difference compared to group technology (cellular) layout, took up the least amount of waste and was considered as the most suitable of lean production flow layout for the case firm.
