• Title of article

    An Integrated Model for Decision-making under Uncertainty and Risk to Select Appropriate Strategy for a Company

  • Author/Authors

    Hosseini Nogourani ، Somayeh - Islamic Azad University, Najafabad Branch , Soltani ، Iraj - Islamic Azad University, Najafabad Branch , Karbasian ، Mehdi - Islamic Azad University, Najafabad Branch

  • Pages
    12
  • From page
    136
  • To page
    147
  • Abstract
    Recognition and select appropriate strategies to improve the condition of organizations in the eve of the crisis is important. Due to proper planning horizons in strategy-focused organizations, risk and decision making under uncertainty is greatly reduced. Therefore, it s necessary to specification and characterization the relationship between strategic management and risk management and select the best strategy of it. Accordingly, in this paper to demonstrate a direct correlation between the results of managerial strategic decision making and environmental analysis of organizations to find its strategic condition is used compilation model that both of them in order to inappropriate condition of organization are for selection the best option. The strategic areas identified by analyzing the internal and external environment of the organization, which includes the recognition of strengths, weaknesses, opportunities and threats with the help of SWOT Matrix. Finally, based on the criteria and methods of Wald classical approaches, Hurwicz, Maximax, Savage, Laplace, mean-variance decisions are based on expectations, the most likely conditions, Expected Opportunity Loss (EOL), the cost of uncertainty, the coefficient of variation and limits of responsibility, two strategies are determined by the choice of strategies. Also research has been conducted in Epic Arya Carton and the results are presented.
  • Keywords
    strategic management , Decision , making , Unreliability , risk , SWOT
  • Journal title
    Journal of Applied Research on Industrial Engineering
  • Serial Year
    2014
  • Journal title
    Journal of Applied Research on Industrial Engineering
  • Record number

    2478451