a comprehensive and integrated study of any supply chain (sc) environment is a vital requirement that can create various advantages for the sc owners. this consideration causes productive managing of the sc through its whole wide components from upstream suppliers to downstream retailers and customers.  on this issue, despite many valuable studies reported in the current literature, considerabl...

Naval Supply Systems Command recently employed the Navy Enterprise Resource Planning Single Supply Solution to improve efficiency through the sharing of data across the organization. For the first time, replenishment decisions were made using shared enterprise data. Since all items from all sites are in one central database, Weapon Systems Support has total visibility of assets across all avail...

We consider the dynamic version of the classic problem of allocation of inventories to a set of retailers to rectify the imbalance of inventories amongst them. While most research is focussed on analyzing different allocation strategies with a predetermined time of shipment (static policy), we investigate the benefit of using real time demand (inventory) information to schedule rebalancing ship...

We study a supply chain consisting of production-inventory systems at several locations which are coupled by common supplier. Demand customers arrives each production system according to Poisson process and is lost if the local inventory depleted ("lost sales"). To satisfy customer's demand server needs raw material from associated inventory. The supplier manufactures replenish inventories, con...

Article history: Received 13 May 2010 Received in revised form 14 May 2010 Accepted 14 May 2010 Available online 15 May 2010 In this paper, we address the optimization of an integrated line balancing process with workstation inventory management. While doing so, we have studied the interconnection between line balancing and its conversion process. Almost each and every moderate to large manufac...

We study a problem of dynamic pricing faced by a vendor with limited inventory, uncertain about demand, aiming to maximize expected discounted revenue over an infinite time horizon. The vendor learns from purchase data, so his strategy must take into account the impact of price on both revenue and future observations. We focus on a model in which customers arrive according to a Poisson process ...

The modern business environment is highly unpredictable. An anticipation approach in a real case study is presented to cope with such instability and minimize the total inventory cost without stock-outs occurring and inventory capacity being exceeded. The anticipation concept is performed using simulation models supported by inventory control algorithms on a selected sample of representative it...

In this paper, we describe the first computationally efficient policies for stochastic inventory models with lost sales and replenishment lead times that admit worst-case performance guarantees. In particular, we introduce dual-balancing policies for lost-sales models that are conceptually similar to dual-balancing policies recently introduced for a broad class of inventory models in which dema...