A Research on Integrated Optimization of Resilient Supply Chain Network Considering Risk-averse Behavior
Guan Zhi-min
Tao Jin
Abstract：The design and operational strategy optimization of resilient supply chain network under multi-dimension risk environment is focused on, with decision makers′risk-averse behavior considered in the u-tility function, stochastic scenarios used to simulate the multi-dimension risk environment and nonlinear shortage penalty cost function used to restrict the shortage, which assures the resilience of the supply chain network under multi-dimension risk environment.Based on the process above, a nonlinear mixed integer stochastic programming model is built.The piece-wise linearization approach and SAA ( sample average approximation) solution method are used to solve the nonlinear optimization model.The effectiveness and practical value are tested through a case study and sensitivity analysis.
Keywords：multi-dimension risksupply chain resiliencerisk-aversenonlinear programmingstochas-tic programming
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 49-57 )