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Cloud computing providers offer two different pricing schemes when renting virtual machines: reserved instances and on-demand instances. On-demand instances are paid only when utilized and they are useful to satisfy a fluctuating demand. Conversely, ...

The Joint Replenishment Problem (JRP) is a fundamental optimization problem in supply-chain management, concerned with optimizing the flow of goods over time from a supplier to retailers. Over time, in response to demands at the retailers, the supplier ...

We propose a methodology to design user-aware streaming strategies for energy efficient smartphone video playback applications (e.g. YouTube). Our goal is to manage the streaming process to minimize the sleep and wake penalty of cellular module and at ...

We consider a finite-horizon, multiechelon inventory system in which the surplus of stock can be sold (i.e., disposed) in the secondary markets at each stage in the system. What are called nested echelon order-up-to policies are shown to be optimal for ...

We study profit maximization in inventory control problems where demands are unknown. Neither probabilistic distributions nor sets are available to characterize the unknown demand parameters. Therefore, we adopt an online optimization perspective for ...

Automobile manufacturers in the U.S. supply chain exhibit significant differences in their days of supply of finished vehicles (average inventory divided by average daily sales rate). For example, from 1995 to 2004, Toyota consistently carried ...

Data today is accumulated in a fast pace. This makes traditional data analysis methods impractical. Data mining (DM) presents an innovative approach to address this problem. This study use DM techniques to identify diabetic patients of a large ...

In this paper, we use nonlinear programming to provide an alternative treatment of the economic order quantity problem with planned backorders. Many businesses, such as capital-goods firms that deal with expensive products and some service industries ...

This paper deals with the planning of buffers within a mixed-model line, which is typical of vehicle industries. The positioning of the buffers will be of special interest and will be discussed by an exact method and three heuristics. In addition the ...

We extend the profit maximizing economic order quantity (EOQ) model to the case of a symmetric oligopoly consisting of sellers of a homogeneous product who complte with each other for the same potential buyers. The key feature differentiating this paper ...

We consider a single-item inventory model with deterministic demands. At the beginning of each period, a random ordering price is received according to a known distribution function. A decision must be made as to how much if any of the item to order in ...

Many database maintenance operations are performed periodically in batches, even in realtime systems. The purpose of this paper is to present a general model for determining the optimal frequency of these batch operations. Specifically, optimal backup, ...

Many database maintenance operations are performed periodically in batches, even in real-time systems. The purpose of this paper is to present a general model for determining the optimal frequency of these batch operations. Specifically, optimal backup, ...