1
MS, Islamic Azad University, South Tehran Branch.
2
Associate Professor, Kharazmi University.
3
Professor, University of Tehran, Tehran.
Abstract
Nowadays, in the competitive markets referring to the fast changes in the costumers’ needs and expectations, one of the essential decisions and strategic considerations for each organization is to determine the best research and development projects portfolio in order to keep its competitive abilities. In this paper, we considered “Research and Development (R&D) Project Portfolio Selection” as a multi-objective decision making in some special situations. In which, the decision makers (DMs) are not sure about the exact amount of each aspiration level, or it is impossible for them to calculate it at the first step of the projects. Our proposed model is based on a multi-choice goal programming method to let the DMs set multi-choice aspiration levels for each goal and help them to avoid underestimation of the decisions. This new approach can be used in many cases of the real world effectively. Furthermore, we used the proposed model in Saipa Group as a real case study.
Salami, Z., Naderi, B., & Tavakkoli Moghaddam, R. (2013). A Multi-Choice Goal Programming for R & D Project Portfolio Selection in the Automotive Manufacturing Industries. Journal of Industrial Management Perspective, 3(2), 147-167.
MLA
Zahra Salami; Bahman Naderi; Reza Tavakkoli Moghaddam. "A Multi-Choice Goal Programming for R & D Project Portfolio Selection in the Automotive Manufacturing Industries", Journal of Industrial Management Perspective, 3, 2, 2013, 147-167.
HARVARD
Salami, Z., Naderi, B., Tavakkoli Moghaddam, R. (2013). 'A Multi-Choice Goal Programming for R & D Project Portfolio Selection in the Automotive Manufacturing Industries', Journal of Industrial Management Perspective, 3(2), pp. 147-167.
VANCOUVER
Salami, Z., Naderi, B., Tavakkoli Moghaddam, R. A Multi-Choice Goal Programming for R & D Project Portfolio Selection in the Automotive Manufacturing Industries. Journal of Industrial Management Perspective, 2013; 3(2): 147-167.