Title: A hybrid grey-based KOHONEN and genetic algorithm to integrated technology selection
Authors: Abbas Toloie Eshlaghy; Farshad Faezy Razi
Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Industrial Management, Semnan Branch, Islamic Azad University, Semnan, Iran
Abstract: Selecting a proper integrated manufacturing technology is one of the most complicated and time consuming problems for manufacturing companies, because of many possible alternatives and conflicting attributes. This paper presents an integrated technology project portfolio selection using grey relational analysis (GRA) and KOHONEN algorithm. The proposed approach of this paper first clusters different technology based on KOHONEN algorithm and then ranks various alternatives in each cluster by grey relational analysis (GRA). The proposed framework is implemented in a case study to shows its usefulness and applicability in practice.
Keywords: grey relational analysis; GRA; KOHONEN algorithm; integrated technology; manufacturing technology; project selection; genetic algorithms; project portfolio.
Int. J. of Industrial and Systems Engineering, 2015 Vol.20, No.3, pp.323 - 342
Available online: 16 Jun 2015