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Effective end-to-end supply chain management and network inventory optimization must account for, among other things, service levels, demand volatility, lead times and lead time variability. Most inventory models incorporate demand variability but far fewer rigorously account for lead time variability, particularly in multi-echelon supply chain networks. Our research extends the guaranteed service (GS) model of safety stock placement to allow random lead times. The main methodologicaldoi:10.1287/inte.2013.0699 fatcat:bwao7o6cjfh2ri6vzwikv2uq3q