Developing a New Theory of Integer-Valued Data Envelopment Analysis for Supplier Selection in the Presence of Stochastic Data
Supplier selection has a strategic importance for every company. Hybrid integer data is one of the models in data envelopment analysis (DEA). In many real world applications, data are often stochastic. A successful approach to address uncertainty in data is to replace deterministic data via random variables, leading to chance-constrained DEA. In this paper, a chance-constrained hybrid integer data envelopment analysis (CCHIDEA) model is developed and also its deterministic equivalent which is a nonlinear program is derived. Furthermore, it is shown that the deterministic equivalent of the CCHIDEA model can be converted into a quadratic program. In addition, sensitivity analysis of the CCHIDEA model is discussed with respect to changes on parameters. Finally, a case study demonstrates the application of the proposed model.
Year of publication: |
2014
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Authors: | Azadi, Majid ; Saen, Reza Farzipoor |
Published in: |
International Journal of Information Systems and Supply Chain Management (IJISSCM). - IGI Global, ISSN 1935-5726. - Vol. 7.2014, 3, p. 80-103
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Publisher: |
IGI Global |
Saved in:
Online Resource
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