Abstract
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.
Original language | English |
---|---|
Pages (from-to) | 80-103 |
Number of pages | 24 |
Journal | International Journal of Information Systems and Supply Chain Management |
Volume | 7 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jul 1 2014 |
Keywords
- Chance-constrained data envelopment analysis (CCDEA)
- Hybrid integer data envelopment analysis (HIDEA)
- Stochastic data supply chain management (SCM)
- Supplier selection
ASJC Scopus subject areas
- Management Information Systems
- Information Systems