International Journal of Managment, IT and Engineering
  • Year: 2014
  • Volume: 4
  • Issue: 3

Risk assessment in decorative and facade stone mines utilizing composite approach of fuzzy ahp and fuzzy topsis methods

  • Author:
  • Reza Mehrpouyan, Mohammad Hossein Basiri, Jafar Sargheini
  • Total Page Count: 22
  • Page Number: 1 to 22

*Master of Science Student, Department of Mining Engineering, Tehran-south Branch, Islamic Azad University, Tehran, Iran

**Assistance Professor, Department of Mining Engineering, Tarbiat Modarres University, Tehran, Iran

***Assistance Professor, Department of Mining Engineering, Tehran-south Branch, Islamic Azad University, Tehran, Iran

Online published on 20 March, 2014.

Abstract

Mining decorative and facade stones is considered as a high-risk industry because of high volume of investment, and dealing with various technical and economic variables. Moreover, evaluating and rating of risks when productive risk factors are high is considered as one of the most important and meanwhile most complex risk management processes. Rating project risks is the key section of evaluation phase in risk management process. Therefore, identifying and prioritizing risks can have a significant role in success of a project. The main goal of this study is to present a model for identifying and rating risks due to its importance in decorative and facade stone mines. For this reason firstly, the risks are identified by the technique ofrisk breakdown structure. In next step, ten indexes are determined in order to assess the risks. The experts’ ideas and comments have been collected by preparing Double Comparison Questionnaire of the indexes and a questionnaire for decision-making whichare based on risk breakdown structure. Finally, with utilizing composite Fuzzy Analytic Hierarchy Process and Fuzzy Technique for Order Preference by Similarity to Ideal Solutionas a composite approach with presenting a more realistic and robust results compared to other methods of decision making, risks have been rated. Fuzzy Analytic Hierarchy Processin determining weights of factors and final rating of risks utilizing these weights is done through prioritizing technique with FuzzyTechnique for Order Preference by Similarity to Ideal Solution. The results show that executive risks and natural disasters have got allocated the highest and lowest risks accordingly.

Keywords

Decorative and facade stone mines, Risk Assessment, Risk Breakdown Structure (RBS), Multi-criteria evaluation decision, Fuzzy AHP, Fuzzy TOPSIS