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Advances in Operations Research
Volume 2014, Article ID 490210, 12 pages
Research Article

A Mathematical Model for Optimizing Organizational Learning Capability

1Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
2Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Received 9 January 2014; Revised 25 March 2014; Accepted 3 April 2014; Published 5 May 2014

Academic Editor: Konstantina Skouri

Copyright © 2014 Masoomeh Alikhani and Hamed Fazlollahtabar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Learning capability is the basis of evolution in every organization. Since the simplification and development of learning level in any organization seems to be necessary, in this paper we represent a mathematical model to maximize organizational learning capability. The proposed mathematical model focuses on required cost, labor, and capital, for implementation of ten effective factors on learning capability in different parts of an organization so that they are effective in learning capability with least cost for organization. To measure the factors in different parts of an organization some metrics are introduced. Computational tests confirm the effectiveness of the model. The model is optimized by epsilon constraint while it is multiobjective one. The validation of the model is also reported to emphasize the validity and applicability of the proposed methodology.