Production and Operations Management · 2009 · 95 citations · 17 references
Supply Chain OptimizationInventory TheorySupply Chain RiskClosed-loop Supply ChainSupply Chain ResilienceOperations ResearchInventory ManagementInventory ControlSupply Chain DisruptionManagementLogisticsSupply ChainContinuous‐review Inventory ModelBoth SupplierSupply Chain DesignSupply Chain ManagementMarketingSupply ManagementContinuous‐review Inventory ProblemBusinessOptimal Order SizeExpected Inventory CostSupply Chain Analysis
We consider a continuous‐review inventory problem for a retailer who faces random disruptions both internally and externally (from its supplier). We formulate the expected inventory cost at this retailer and analyze the properties of the cost function. In particular, we show that the cost function is quasi‐convex and therefore can be efficiently optimized to numerically find the optimal order size from the retailer to the supplier. Computational experiments provide additional insight into the problem. In addition, we introduce an effective approximation of the cost function. Our approximation can be solved in closed form, which is useful when the model is embedded into more complicated supply chain design or management models.
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