作者: Guodong Yu , Fei Li , Yu Yang
DOI: 10.1080/00207543.2016.1232499
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摘要: In this paper, a robust stochastic optimisation model for regret minimising is proposed supply chain networks design. The emphasises the ambiguity lying in both risk preference and probability distribution. A duality theory derived random utility functions are identified as Lagrange multipliers. addition, tractable relaxation based on reformulation-linearisation technique presented computational aspects of model. numerical experiments show that our can make well balance between conservativeness pure optimism risk-neutrality. We also present case study to demonstrate applicability