We consider an optimization problem for a multiclass queueing model of a decentralized production-distribution system: A single server can produce a variety of products, and completed units pass through an infinite server delay node on their way to a warehouse inventory. Each product has its own warehouse, demand for each product is satisfied by its associated inventory, and unsatisfied demand ...

The paper presents computer system, named Stock Market Electronic Expert (SMEE), for Stock Market Analysis. It is developed as friendly, useful and credible computer program giving advises concerning investment policy on Stock Market. Fundamental and technical analysis are made automatically, and – on the base of obtained partial results – system produces evaluation of companies’ attractiveness...

We consider an assemble-to-order (ATO) system with multiple products, multiple components which may be demanded in different quantities by different products, possible batch ordering of components, random lead times, and lost sales. We model the system as an infinite-horizon Markov decision process under the average cost criterion. A control policy specifies when a batch of components should be...

This paper explores qualitative effects of lead-time uncertainty in a basic continuous-time single-item inventory model with Poisson demand and stochastic lead times. The objective is to minimize the infinite-horizon expected total discounted cost. Order costs are linear, so a base-stock policy is optimal. Traditionally and intuitively, people believe that a (stochastically) longer lead time re...

W study the safety stock positioning problem in single-product multistage supply chains with tree network structures, where each stage controls its inventory using an installation continuous-time base-stock policy. External demands follow independent Poisson processes, and unsatisfied demands at each stage are fully backordered. The processing (e.g., production) cycle times and transportation l...

In this paper, we develop approximations that yield insight into the joint optimization of capacity and inventory, and how the optimal inventory policy varies with capacity investment in a single-product, single-station, make-to-stock manufacturing system in which inventory is managed through a base-stock policy. We allow for a correlated demand stream as we analyze our models in an asymptotic ...

We find that the consumption risk of investors is lower in states that implement countercyclical fiscal policies. Moreover, firms whose investor base are concentrated in counter-cyclical states have lower stock returns, along with firms that relocate their headquarters to a countercyclical state. Therefore, counter-cyclical fiscal policies lower the consumption risk of investors and consequentl...

This article studies the value of leadtime information in a single-location inventory model with a Markovian leadtime process. The optimal strategy under complete leadtime information (i.e., the leadtime state is observable) is a base-stock policy with the order-up-to level dependent on the leadtime state. The optimal base-stock level for each leadtime state can be computed in an iterative mann...

All intensively studied and widely applied inventory control policies satisfy demand in accordance with the First-Come-First-Served (FCFS) rule, whether this demand is in backorder or not. Interestingly, this rule is sub-optimal when the fill-rate is constrained or when the backorder cost structure includes fixed costs per backorder and costs per backorder per unit time. In this paper we study ...

Motivated by practices in modern supply chains, we consider capacity-inventory joint management for a make-to-stock manufacturing system operating under a base stock policy. The production facility is modeled as multiple servers operating in parallel. The number of servers corresponds to the capacity decision and the base stock level is the inventory decision. The main problem which we consider...