Cost-based filtering is a promising technique able to improve search performance in combinatorial optimization problems. Such a technique has already been successfully applied to stochastic inventory control problems. We focus on the class of production/inventory control problems that considers a single product and a single stocking location, given a stochastic demand with a known non-stationar...

This paper proposes an analytical method for performance evaluation and optimization of a production-distribution system composed of a warehouse supplied from an upstream manufacturing plant. Customer orders arrive randomly with random order size and the production capacity is finite. Transportation time from plant to warehouse is fixed. The analytical approach needs only the first two moments ...

We consider the joint pricing and inventory control problem for a single product whose demand distribution in each period is determined both by whether or not a sale price is offered in the current period, and the number of periods since the last time the sale price was offered. We show that optimal inventory ordering policy is a state dependent base stock policy; however, the optimal pricing p...

In this paper we develop procedures for setting the basestock levels for a buffer in a supply chain subject to uncertainty in the demands. Our work is motivated by experience with an industrial partner in the electronics industry who was subject to the following difficulties: short product cycles, a complex supply chain with multiple suppliers and long production leadtimes, and a very competiti...

We developed a mixed integer linear programming model for an integrated decision problem of production, inventory, and transportation planning. Our model combines the direct shipment into the production, inventory, and distribution planning. The objective was to minimize the total operation cost which is comprised of production setup cost, inventory holding cost, transportation cost, and reorde...

This paper studies dynamic inventory and pricing decisions for a set of substitutable products over a finite planning horizon. We present a general stochastic, price-dependent demand model that unifies many commonly used demand models in the literature. Unsatisfied demands are backlogged. There are linear purchasing, inventory-holding, and backordering costs. The objective is to maximize the to...

A two warehouse production inventory model for deteriorating items is explored in an inflation induced demand and partial backlogging under the effect of learning on set-up cost. Holding cost is treated as a linear function of time and production rate is taken as a linear combination of demand and on-hand inventory. A finite planning horizon inventory problem having two separate warehouses, one...

W e consider firms that feature their products on the Internet but take orders offline. Click and order data are disjoint on such non-transactional websites, and their matching is error-prone. Yet, their time separation may allow the firm to react and improve its tactical planning. We introduce a dynamic decision support model that augments the classic inventory planning model with additional c...