In a production system using advance demand information, the information is sent to an upstream company certain period of time before production, and firm-order just production. Unfortunately, companies are frequently burdened with excess inventory late deliveries. Therefore, it necessary analyze effect variable factors, such as fluctuation gap between information. The model was based on follow...

this paper investigates the effect of formal information and rumors on the real buyers’ choice in tehran stock exchange. following this study, the question is what kind of information has an effect on buyers’ choice of shares? the purpose of this study is to identify information affecting buyers selected stocks, in order to offer some solutions to enhance stock exchange performance. in this stu...

This paper considers the issue of optimal subcarrier allocation in OFDMA wireless networks when the arrivals and channels are stochastic and time-varying. Our objective is to minimize the long-term average packet delay over multiple time epochs. We show by an example that water-filling-based subcarrier allocation policy which maximizes throughput at each time epoch is not optimal in this case. ...

The life cycle of new products is becoming shorter and shorter in all markets. For electronic products, life cycles are measured in units of months, with six to twelve-month life cycles being common. Given these short product life-cycles, product demand is increasingly difficult to forecast. Furthermore, demand is never really stationary as the demand rate evolves over the life of the product. ...

Inventory systems with uncertainty go hand in hand with the determination of a safety stock level. The decision on the safety stock level is based on a performance measure, for example the expected shortage per replenishment period or the probability of a stock-out per replenishment period. The performance measure assumes complete knowledge of the probability distribution during lead time, whic...

In this paper, we examine the nature of optimal inventory policies in a system where a retailer manages substitutable products. We first consider a system with two products 1 and 2 whose total demand is D and individual demand proportions are p and (1-p). A fixed proportion of the unsatisfied customers for 1(2) will purchase item 2 (1), if it is available in inventory. For the single period cas...

We consider a multi-stage production/distribution supply chain subject to stochastic demand. We formulate an optimization problem to determine where to place decoupling inventories, so-called strategic inventories, across the supply chain so as to minimize inventory holding costs subject to a service constraint for satisfying customer demand. We assume demand is normally distributed. For each s...

Retailers facing uncertain demand can use observed sales to update demand estimates. However, such learning is limited by the amount of inventory carried; when demand exceeds inventory (i.e., when a stock-out event occurs), a retailer in general cannot observe actual demand. We propose using observations on the timing of sales occurrences in a Bayesian fashion to learn about demand, and we anal...

We study the pricing problem faced by a firm that sells a large number of products, described via a wide range of features, to customers that arrive over time. This is motivated in part by the prevalence of online marketplaces that allow for real-time pricing. We propose a dynamic policy, called Regularized Maximum Likelihood Pricing (RMLP), that obtains asymptotically optimal revenue. Our poli...

Processor scheduling policies can be broadly divided into space-sharing and time-sharing policies. Space-sharing policies partition system processors and each partition is allocated exclusively to a job. In time-sharing policies, processors are temporally shared by jobs (e.g., in a round robin fashion). Space-sharing policies can be either static (processor allocation remains constant during th...