Kamfiroozi, M., Bonyadi Naeini, A. (2014). An ERP Selection Combination Model under Uncertainty: A Grey-BSCAHP-Entropy Model. International Journal of Research in Industrial Engineering, 3(3), 13-23.
M. H. Kamfiroozi; A. Bonyadi Naeini. "An ERP Selection Combination Model under Uncertainty: A Grey-BSCAHP-Entropy Model". International Journal of Research in Industrial Engineering, 3, 3, 2014, 13-23.
Kamfiroozi, M., Bonyadi Naeini, A. (2014). 'An ERP Selection Combination Model under Uncertainty: A Grey-BSCAHP-Entropy Model', International Journal of Research in Industrial Engineering, 3(3), pp. 13-23.
Kamfiroozi, M., Bonyadi Naeini, A. An ERP Selection Combination Model under Uncertainty: A Grey-BSCAHP-Entropy Model. International Journal of Research in Industrial Engineering, 2014; 3(3): 13-23.
An ERP Selection Combination Model under Uncertainty: A Grey-BSCAHP-Entropy Model
1Department of Industrial Enginering, Iran University of Science and Technology, Tehran, Iran.
2School of management and progress engineering, Iran University of Science and Technology, Tehran, Iran.
Abstract
An enterprise resource planning (ERP) software can help organizations and firms in their activities like: production planning, purchase, human resource, finance, sales, inventory control and etc. Selection of an ERP is mentioned as a multi-criteria decision making (MCDM) problem. However, several MCDM-models are proposed to solve this, but many of them didn't consider uncertainty as an effective environmental factor. In this paper, a new model has designed which used three-parameter interval grey numbers concept that is derived from Grey-theory. These numbers can help for reducing the uncertainty of data. Besides, a combination model for weighting has planned by implementing AHP and Entropy methods that are used in order to reduce uncertainty. And last, a decision making method (Three-parameter grey interval incidence degree method) is used for ranking process. There is a case study at the end of this paper that shows how this model works.
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