Using an Integrated Fuzzy MCDM Method with Balanced Scorecard for R&D Project Performance Assessment
Tarih ve Saat
25 Şubat 2019 - 16:00
The performance assessment of research and development (R&D) projects problem is a very complex and austere issue for project managers and there are few studies on this challenging problem in literature. Hence, a new method is intended to propose and it uses balanced scorecard (BSC) perspectives including an extra perspective, called uncertainty, as a basis and it uses an integrated fuzzy multi criteria decision making (MCDM) approach that effaces the quantitative assessment shortcoming of BSC, in order to evaluate the performance of R&D projects in different stages of their life cycle on the scope of company vision and strategies.
The fuzzy MCDM method integrates fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL), that builds an influential network relation map (INRM) for identifying dependencies between criteria and fuzzy DEMATEL-based analytic network process (DANP), that is used to find the global weights of criteria. The proposed framework applied to a project that is carried out in an R&D company in TURKEY and the derived results have shown that in the absence of sufficient data, performance criteria included in BSC approach can be consolidated with the help of fuzzy DEMATEL and fuzzy DANP techniques and the proposed method is a successful tool for project performance assessment.