A risk management methodology for R&D Project risk based on AHP and fuzzy comprehensive evaluation method
Wenbo Jiang, Huaqi Chai
Abstract
Wenbo Jiang, Huaqi Chai
Abstract
R&D Project risks are not always independent, yet currently dependencies between risks have not been managed by risk management practices clearly. If risks with multiple fronts can be identified and analyzed explicitly by a scientific risk management method, it will be developed for better risk management strategies and more effective risk planning decisions. We propose a management methodology with factor analysis and AHP to set up project risk evaluation index system. Through fuzzy comprehensive evaluation method, it could be confirmed that risk factors do exist in R&D projects in full life time and can be identified, evaluated and managed systematically in GD. To deal with risk issues, communications between knowledge management system and risk management team should be built in the entire risk management in R&D in full life time.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
R&D Project risks are not always independent, yet currently dependencies between risks have not been managed by risk management practices clearly. If risks with multiple fronts can be identified and analyzed explicitly by a scientific risk management method, it will be developed for better risk management strategies and more effective risk planning decisions. We propose a management methodology with factor analysis and AHP to set up project risk evaluation index system. Through fuzzy comprehensive evaluation method, it could be confirmed that risk factors do exist in R&D projects in full life time and can be identified, evaluated and managed systematically in GD. To deal with risk issues, communications between knowledge management system and risk management team should be built in the entire risk management in R&D in full life time.
Key concepts: Risk management, Risk management plan, Project risk management, Risk analysis (engineering), Analytic hierarchy process, Computer science, IT risk management, Fuzzy set