Reverse logistics network design and planning utilizing conditional value at risk
It is the first paper that tries to regard risk measure in reverse Supply Chain. We specify CVaR as our risk measure in a two stage stochastic programming structure. We consider stochastic demands and prices with a mean-CVaR objective. Results show significant better performances for mean-CVaR models. In real markets, managers can apply their risk factors via our mean-risk model.
design and planning conditional value at risk reverse supply chain end of life products two-stage stochastic programming