Inventory service-level measures: convexity and approximation
Management Science
On properties of stochastic inventory systems
Management Science
Installation vs. echelon stock policies for multilevel inventory control
Management Science
A multiechelon inventory model with fixed replenishment intervals
Management Science
Decentralized Multi-Echelon Supply Chains: Incentives and Information
Management Science
Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain
Management Science
Decentralized supply chains subject to information delays
Management Science
Near-Optimal Echelon-Stock (R, Nq) Policies in Multistage Serial Systems
Operations Research
Optimal Policies for Multi-Echelon Inventory Problems with Batch Ordering
Operations Research
Responsibility Tokens in Supply Chain Management
Manufacturing & Service Operations Management
Heuristic Methods for Centralized Control of One-Warehouse, N-Retailer Inventory Systems
Manufacturing & Service Operations Management
Manufacturing & Service Operations Management
Serial Supply Chains with Economies of Scale: Bounds and Approximations
Operations Research
Note: A Simple Heuristic for Serial Inventory Systems with Fixed Order Costs
Operations Research
Reducing the probability of bankruptcy through supply chain coordination
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Improving Supply Chain Performance: Real-Time Demand Information and Flexible Deliveries
Manufacturing & Service Operations Management
Manufacturing & Service Operations Management
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This paper studies a periodic-review, serial supply chain in which materials are ordered and shipped according to (R,nQ) policies. Three information scenarios are considered, depending on the level of information available: echelon, local, and quasilocal. In the echelon scenario, each stage can access the inventory and cost information within its echelon (comprising the stage itself and all downstream stages); in the local scenario, each stage only accesses its own local information. Finally, in the quasilocal scenario, each stage knows its local information, plus the actual customer demands. We propose coordination schemes that regulate the stages to achieve the supply chain's optimal cost under each information setting. All these coordination schemes fit comfortably within an emerging practice called supply chain finance, which includes the organization and technology needed to implement them.