Identification and Quantitative Analysis of R&D Outsourcing Risks by meens Fuzzy Logic Control(Case Study: R&D Projects)

The high rate of technology changes، lack of equipment، instruments and specificity laboratories and the low level of skills، are the most important problems faced by Iranian R&D managers. R&D Outsourcing is one of a new ways of management approaches that has gained particular place in facing these restrictions and defects. Beside all advanteges mentioned about outsourcing، it has risks and hazards for organizations too. In other words the implementation of risk management in R&D Outsourcing is an important issue that should not be passovered. Several models have been proposed for risk management that PMBOK is tyupical one. In this research، in order to identify and quantitative analysis of R&D Outsourcing risks، PMBOK has been used and the main data gathering source were the expert people. By analysing data of the first questionnaire، the risks of R&D Outsourcing have been identified and the risk breakdown structure has been proposed based on appropriate category. In the next stage، By the analysing of the second questionnaire، tacit knowladge of pepole and fuzzy systems have been used in quantitative analysis of R&D Projects Outsourcing risks.