Incorporating uncertainty into a supplier selection problem

141 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Application of decision-making techniques in supplier selection: A systematic review of literature (2013, background): “Based on our survey, two articles refer to SP, including Kara (2011) as well as Li and Zabinsky (2011).”
Supply chain risk management and artificial intelligence: state of the art and future research directions (2018, unknown): “…a full-ﬂedged hybrid: Wu and Olson (2008) compare chance-constrained programming, data envelopment analysis and multi-objective programming, while Li and Zabinsky (2011) compare two-stage stochastic programming with chance-constrained programming models, noting that the latter requires less…”
Supplier Selection for Framework Agreements in Humanitarian Relief (2014, background): “Our study is particularly related to the literature that develops supplier selection models under demand uncertainty (e.g., Hazra and Mahadevan 2009, Li and Zabinsky 2011, Liao and Rittsche 2011, Zhang and Ma 2009).”
Supplier selection using AHP methodology extended by D numbers (2014, methodology): “Therefore it is necessary to develop a more effective method for supplier selection, which should be able to handle various types of uncertainties (Kara, 2011; Li & Zabinskys, 2011; Wu, 2009).”