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A multiobjective chance constrained programming model for supplier selection under uncertainty
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DOI：10.1016/j.trb.2011.02.007.png)
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Risk management is an inherent part of supplier selection. While companies are enjoying the benefits of outsourcing, risks brought by this practice should be taken into account in the process of decision making. This paper presents a multiobjective stochastic sequential supplier allocation model to help in supplier selection under uncertainty. Demand for products, capacities at suppliers as well as transportation and other variable costs are the main sources of uncertainty and are modeled using probability distributions. Disruptions are exogenous events and the model provides proactive mitigation strategies against disruptions by assigning backup suppliers who can be used in case of a default at a primary supplier. When there is no disruption, the model's solution is an optimal supplier order assignment, considering operational risks. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Stochastic programming
Outsourcing risks
Goal programming
Linearization
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A multi-objective supplier selection model under stochastic demand conditions随机需求条件下的多目标供应商选择模型
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