Integrated safety stock optimization for multiple sourced stockpoints facing variable demand and lead time

► Safety stock placement problem of multi-stage supply chains is investigated. ► Stockpoints undergo variability of customer demand and multiple suppliers lead time. ► Two models representing the centralized and decentralized policies are proposed. ► The centralization model is solved efficiently using Benders decomposition technique. ► 22.2-44.2% reduction in cost is achieved by the centralization policy.