scholarly journals Supplier selection using chance-constrained data envelopment analysis with non-discretionary factors and stochastic data

2012 ◽  
Vol 10 (2) ◽  
pp. 167 ◽  
Author(s):  
Majid Azadi ◽  
Reza Farzipoor Saen ◽  
Madjid Tavana
Keyword(s):  
Data Envelopment Analysis ◽  
Supplier Selection ◽  
Data Envelopment ◽  
Stochastic Data

Developing a New Theory of Integer-Valued Data Envelopment Analysis for Supplier Selection in the Presence of Stochastic Data

2014 ◽  
Vol 7 (3) ◽  
pp. 80-103 ◽  
Author(s):  
Majid Azadi ◽  
Reza Farzipoor Saen
Keyword(s):  
Data Envelopment Analysis ◽  
Supplier Selection ◽  
Quadratic Program ◽  
Data Envelopment ◽  
Nonlinear Program ◽  
Deterministic Equivalent ◽  
Proposed Model ◽  
Successful Approach ◽  
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.

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