This paper proposes two models to formulate a Supplier Selection Problem (SSP) in a single-buyer, multi-supplier two-echelon supply chain network. The model coordinates order allocation and supplier selection problems under all-unit quantity discount policy. In this way, bi-level programming is employed to obtain two models: 1) The model with buyer as a leader; 2) The model with vendor as a leader. The resulted nonlinear bi-level programming problems are hard to solve. Therefore, Particle Swarm Optimization (PSO) algorithm is used to deal with the complexity of the model and makes it solvable. Numerical results show that the proposed model is ecient for SSP in compliance with order allocation decision making.
Zaheri, F., Zandieh, M., & Taghavifard, M. (2017). Bi-level programming for supplier selection under quantity discount policy. Scientia Iranica, 24(4), 2095-2104. https://doi.org/10.24200/sci.2017.4297
MLA
Zaheri, F., Zandieh, M., & Taghavifard, M. "Bi-level programming for supplier selection under quantity discount policy", Scientia Iranica, 24, 4, 2017, 2095-2104. doi: 10.24200/sci.2017.4297
HARVARD
Zaheri F., Zandieh M., Taghavifard M. (2017). 'Bi-level programming for supplier selection under quantity discount policy', Scientia Iranica, 24(4), pp. 2095-2104. doi: 10.24200/sci.2017.4297
CHICAGO
F. Zaheri, M. Zandieh & M. Taghavifard, "Bi-level programming for supplier selection under quantity discount policy," Scientia Iranica, 24 4 (2017): 2095-2104, doi: 10.24200/sci.2017.4297
VANCOUVER
Zaheri F., Zandieh M., Taghavifard M. Bi-level programming for supplier selection under quantity discount policy. Scientia Iranica. 2017;24(4):2095-2104. doi: 10.24200/sci.2017.4297