In this paper, a new hybrid model has been proposed for the loans allocation of banking investment projects. In this model, firstly uncertainty in the cash flows parameters of projects is simulated using probability distributions. The statistical analysis about the indexes of engineering economic is used for the elimination of non-economical projects. Secondly, remained projects are ranked based on financial and non-financial indexes and AHP-TOPSIS approaches. Finally, a 0-1 mathematical programming is used for loans allocation to projects based on ranking of projects (as projects utilities) and the constraints of banking investment. To consider the performance of the proposed model, the investment projects of bank Toseeye Taavon in a specified time interval are evaluated using this model. The results of allocations are shown the validity and efficiency of proposed model based on the opinions of banking experts.
Nojavan, M., & Akbary, A. (2014). A Novel Hybrid Model for Loan Allocation in Banking Investment Projects (Case Study: Bank Toseeye Taavon). Advances in Industrial Engineering, 48(1), 95-108. doi: 10.22059/jieng.2014.51153
MLA
M. Nojavan; A. Akbary. "A Novel Hybrid Model for Loan Allocation in Banking Investment Projects (Case Study: Bank Toseeye Taavon)", Advances in Industrial Engineering, 48, 1, 2014, 95-108. doi: 10.22059/jieng.2014.51153
HARVARD
Nojavan, M., Akbary, A. (2014). 'A Novel Hybrid Model for Loan Allocation in Banking Investment Projects (Case Study: Bank Toseeye Taavon)', Advances in Industrial Engineering, 48(1), pp. 95-108. doi: 10.22059/jieng.2014.51153
VANCOUVER
Nojavan, M., Akbary, A. A Novel Hybrid Model for Loan Allocation in Banking Investment Projects (Case Study: Bank Toseeye Taavon). Advances in Industrial Engineering, 2014; 48(1): 95-108. doi: 10.22059/jieng.2014.51153