List of Articles Supply &amp

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  1 - Interest rate of the securities with fixed-income in Iran
  Taghi Torabi Peyman Tataei Samaneh Tarighi Abdollah Daryabor
  Interest rate of the securities with fixed-income in Iran which is determined in terms of policy and regulatory package of central bank, typically it is considered as fixed and interest rate of the county. Obviously, the interest rate should be floating and more than in More

  Interest rate of the securities with fixed-income in Iran which is determined in terms of policy and regulatory package of central bank, typically it is considered as fixed and interest rate of the county. Obviously, the interest rate should be floating and more than inflation rate. However, due to available mechanism for notifying the interest rate, there are not floating interest rate in Iran unlike most world countries and notified interest rate is not fair rate. On the other hand, according to high inflation, lake of flexibility, attractiveness of other parallel markets, redeem volume of increased and handling market securities is forced to high volume from unattractive securities. In this article, modern method for securities handling market is introduced with fixed-income. In this procedure, the securities price supplied to auction and or fair price method, is variable without amplitude and securities transactions into single-price auction during trading session and the handling marketer is obligated to import simultaneously sale and purchase orders. After describing possible and specific conditions model using a corner solutions and considering possible condition strongest and its efficiency is evaluated. With verifying the model efficiency can be expected to occur in the country the finding interest rate and reducing the financing with supplying the securities to the auction method, escrowing the handling market process to the market mechanism, discovering optimum price, increasing the efficiency and attractiveness, interest rate form the securities and reducing handling market. Manuscript profile
• Open Access Article
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  2 - Optimization ELM neural network in prediction problem: case study forecasting demand steel in Iran
  Jalal Rezaeenour Mansoureh Yari eili Esmaiel roozbahani Mohammad hossein Roozbahani
  Prediction of supply and demand, is a crucial issue for supply chain partners. With the accurate forecasted supply and patterns that indicate the sizes and directions of future production flow, the government and suppliers can have a well-organized strategy and provide More

  Prediction of supply and demand, is a crucial issue for supply chain partners. With the accurate forecasted supply and patterns that indicate the sizes and directions of future production flow, the government and suppliers can have a well-organized strategy and provide a better infrastructure for improving industrial sector.With the aim of developing accurate forecasting tool in steel industry, this study present a new optimized neural network, by combination of Extreme Learning Machine and genetic algorithm. We employed our model on a dataset for steel supply - demand in Iran from jul-2009 to jan2013 to estimating the performance. The results show that prediction accuracy and performance relatively better than other classical approaches, according to RMSE and MAPE evaluations. In our model. Based on statistical tests, our new model is better than other model in accuracy, so can be used in as a suitable forecasting tool in steel supply forecasting problems. Manuscript profile