Zeinolabedin Akbarzadeh; Abdolhamid Safaei Ghadikolaei
Abstract
Today, one of the main concerns of managers interested in supply chain novel paradigms (SC) is identification of improvement priorities and determination of the focal points to promote the performance of SC. With studying effective practices performance in three echelons of Kalleh SC (first tier supplier, ...
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Today, one of the main concerns of managers interested in supply chain novel paradigms (SC) is identification of improvement priorities and determination of the focal points to promote the performance of SC. With studying effective practices performance in three echelons of Kalleh SC (first tier supplier, focal firm and first tier distributor), the present paper seeks to identify key components of LARG (Lean, Agile, Resilient and Green) SC and improve them in this company by developing a practical and strategic decision making model. The results show that the greatest gap in Pole Co. is in just-in-time production practices and the smallest gap is in the ability to reduce likely risks. In Kalleh Co., the greatest gap was found in close & long term relationship with suppliers and the least one was in the development of visibilities in SC. The greatest gap in Banichow Co, was quick responsiveness to customers and the least one was the ability to reduce of likely risks
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.
Mirza Hassan Hosseini; Abdolhamid Safaee; Somayeh Alavy nezhad
Volume 8, Issue 19 , December 2010, , Pages 217-238
Abstract
Nowadays quantitative methods have become very important tools for forecasting purposes in markets as for improved decisions and investment. Forecasting accuracy is one of the most important factors involved in selecting method; Artificial Neural Network (ANNs) arc flexible computing frameworks that ...
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Nowadays quantitative methods have become very important tools for forecasting purposes in markets as for improved decisions and investment. Forecasting accuracy is one of the most important factors involved in selecting method; Artificial Neural Network (ANNs) arc flexible computing frameworks that can be applied to a wide range of forecasting with a high degree of accuracy, in this research, Fuzzy logic and Artificial Neural Network are integrated in to the Fuzzy Back- Propagation Network (FBPN) for sales forecasting in Wood and Paper industry. The proposed system is evaluated through the real world data provided by a Wood an d Paper company and experimental results indicate that the Fuzzy Back- Propagation approach outperforms are better other two different forecasting models (Linear Regression and ARIMA time series model) in MAPE measures.
