Batch size and stocking levels in multi-echelon repairable systems
Management Science
Estimating the performance of multi-level inventory systems
Operations Research
An (S-1,S) inventory system with emergency orders
Operations Research
Customer-order information, leadtimes, and inventories
Management Science
A multiechelon inventory model with fixed replenishment intervals
Management Science
Value of Information in Capacitated Supply Chains
Management Science
Supply Chain Inventory Management and the Value of Shared Information
Management Science
A strategic analysis of inter organizational information sharing
Decision Support Systems
Coordinated Replenishment Strategies in Inventory/Distribution Systems
Management Science
A Supply Chain Model with Reverse Information Exchange
Manufacturing & Service Operations Management
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
Supply chain management: a framework to characterize the collaborative strategies
International Journal of Computer Integrated Manufacturing - Industrial Engineering and Systems Management
Situation reactive approach to Vendor Managed Inventory problem
Expert Systems with Applications: An International Journal
A three-echelon supply chain coordination with quantity discounts for multiple items
International Journal of Systems Science
Expert Systems with Applications: An International Journal
Vendor managed inventory and its effect in the supply chain
AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
Information Sharing Strategies in Business-to-Business E-Hubs: An Agent-Based Study
International Journal of Intelligent Information Technologies
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In this paper, we consider a supply-chain model consisting of a single product, one supplier, and multiple retailers. Demand at the retailers is random, but stationary. Each retailer places her orders to the supplier according to the well-known ( Q,R) policy. We assume that the supplier has online information about the demand, as well as inventory activities of the product at each retailer, and uses this information when making order/replenishment decisions. We first propose a replenishment policy for the supplier, which incorporates information about the inventory position of the retailers. Then, we provide an exact analysis of the operating measures of such systems. Assuming the inventory/replenishment decisions are made centrally for the system, we compare the performance of our model with those that do not use information in their decision making, namely, systems that use installation stock policies via a numerical experiment. Based on our numerical results, we identify the parameter settings under which information sharing is most beneficial.