Title :
A conceptual multi-dimensional evaluation model for new product portfolio management — Using hybrid fuzzy model of AHP-DEA
Author :
Kiranmayi, P. ; Mathirajan, M.
Author_Institution :
Dept. of Manage. Studies, Indian Inst. of Sci., Bangalore, India
Abstract :
Even a best performing industry requires a major improvement in project selection methods as nearly half of initial new product development ideas occur informally or without a specific goals. In an industry, for efficient selection of projects it requires trade-off among maximizing revenues, optimizing resources and minimizing risks. The objective of this paper, is to study and identify an efficient metrics to measure respective evaluative dimension; and develop a conceptual model for selection and evaluation of a set of projects for New Product Portfolio Management (NPPM). In this paper, a hybrid fuzzy model of AHP-DEA is developed. This model assist decision maker, to select the right set of projects with higher development potential to maximize profitability and minimize the associated risk.
Keywords :
analytic hierarchy process; data envelopment analysis; fuzzy set theory; investment; product development; profitability; risk management; AHP-DEA; NPPM; analytic hierarchy process; conceptual multidimensional evaluation model; data envelopment analysis; hybrid fuzzy model; new product portfolio management; product development; profitability; project selection methods; risk management; Analytical models; Industries; Mathematical model; Portfolios; Product development; Resource management; Uncertainty; Data Envelopment Analysis; Fuzzy Analytical Hierarchy Process; New Product Portfolio Management;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
DOI :
10.1109/IEEM.2014.7058825
