An (S-1,S) inventory system with emergency orders
Operations Research
Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
Journal of the ACM (JACM)
Peeling layers of an onion: inventory model with multiple delivery modes and forecast updates
Journal of Optimization Theory and Applications
Product form stationary distributions for queueing networks with blocking and rerouting
Queueing Systems: Theory and Applications
Optimal Stock Allocation for a Capacitated Supply System
Management Science
Inventory Models with Fixed Costs, Forecast Updates, and Two Delivery Modes
Operations Research
On the Value of Mix Flexibility and Dual Sourcing in Unreliable Newsvendor Networks
Manufacturing & Service Operations Management
Now or Later: A Simple Policy for Effective Dual Sourcing in Capacitated Systems
Operations Research
Cost optimization in the (S-1,S) lost sales inventory model with multiple demand classes
Operations Research Letters
Inventory Control with Generalized Expediting
Operations Research
Computers and Operations Research
Manufacturing & Service Operations Management
Computers and Operations Research
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Consider an inventory system with multiple supply sources and Poisson demand. The replenishment lead times from each source are stochastic, representing congestion and disruption. We develop performance evaluation and optimization tools for a family of reasonable order policies. These policies take into account real-time supply information, which can be obtained through tracking technologies such as global positioning systems and radio frequency identification. Performance evaluation of such state-dependent policies is generally hard. The main thrust of this paper is to show that, under these policies, the supply system becomes a network of queues with a special routing mechanism called an overflow bypass. The solution has a simple product form. Thus, we obtain closed-form performance measures. These results reinterpret and extend the existing analysis of a system with two sources having deterministic lead times. We further extend the analysis to batch ordering policies, non-Poisson demand processes, and multiple demand classes.