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Supply Chain Management (SCM) is an integrated process of decision making from supplying raw materials to consume final product by final customers. Selecting of most appropriate suppliers is one of the most important decision making problems affected by different qualitative and quantitative parameters. As supply chain gets more complex, uncertainty and risk level in the supply chain would increase. Hence supply chain risk management, especially supplier risks, has become a major issue in the organizations. In this study at first by identifying suppler risks in the steel industries using blast furnace, a hierarchical classification of risks (38 risk events in 3 levels) was developed. At the second step, by considering risk events set, a group of nine evaluation criteria was proposed. Afterward for more accurate assessment of each supplier risks, a composite risk index is proposed based on the evaluation criteria and their importance weights. Finally, by employing the ELECTRE III, the priority of suppliers (mines) of Esfahan Steel Company was evaluated and the most appropriate one was determined. Based on obtained results, Jalal-Abad and Shargh-Iran iron ore complexes can be considered as suppliers having lowest and highest risk levels, respectively.

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In this article, it has been tried to choose suitable production technology for a specific product with the use of Multiple Attribute Decision Making and TOPSIS Decision Making model. ELECTRE Decision Making Model has been used to evaluate and confirm the accuracy of its results. The offered model has been used for suitable Production technology in Paraffin Industry and the results have been compared with the view points of experinced experts in this industry.

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In this article, it has been tried to choose suitable production technology for a specific product with the use of Multiple Attribute Decision Making and TOPSIS Decision Making model. ELECTRE Decision Making Model has been used to evaluate and confirm the accuracy of its results. The offered model has been used for suitable Production technology in Paraffin Industry and the results have been compared with the view points of experinced experts in this industry.

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One of the ways to achieve a balanced urban development is equitable distribution of services in different areas of the city. Inequality in the distribution of services has a significant impact on the urban space and management costs. Therefore, the spatial planning and organization of space in order to optimize the management of urban space, has made necessary equitable distribution of urban facilities and services. In the present research, the 8 regions of Ahwaz city in terms of development indicators have been studied. The research method is descriptive – analytical and use of Resource documents. Also, applying of "Multiple criteria decision making" method (ELECTRE) based on 12 indicators of urban development. AHP model is used for weighting of criteria. The results of the study show that the distribution of the resources and facilities are not proportionate with the population distribution of Ahwaz. Areas 3 and 4, in terms of development and having mentioned indicators of urban services, are ranked developed and developing upward and Region 5 has the development rate of 6 and is placed in the lowest rank. This leads depending areas with low development level to the areas with high levels of development and consequently, ended in social and economic gap in urban system.

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Water is considered as the most important component, but a limiting input, for agricultural production in Iran. In the context of water resources management, due to the limited availability of water and high cost of supplying it to the users, improvement of water use productivity has been regarded as one of the most appropriate approaches to manage water demand. Various tools have been applied for water management policy in the context of preventing high levels of water deficit. In the present study, different policy scenarios related to water supply management are assessed. These include estimation of the impacts of each policy scenario on physical and economic productivity indices and employment, using positive mathematical programming methods and maximum entropy. This methodology was applied to water use in the Qazvin Plain, Iran. Results suggested that application of these policy scenarios not only decreased water consumption but also generated desirable social and economic effects. Results of the ranking showed that the policy of imposing tax on input generated the best results for the study area. However, it is admitted that selection of the best policy scenario is dependent on the weight that policy makers would select for various indicators.