The strategic design of a robust supply chain has as goal the configuration of the supply chain structure so that the performance of the supply chain remains of a consistently high quality for all possible future scenarios. We model this goal with an objective function that trades off the central tendency of the supply chain profit with the dispersion of the profit as measured by the standard d...

Direct marketing is one of the most effective marketing methods with an aim to maximize the customer’s lifetime value. Many cost-sensitive learning methods which identify valuable customers to maximize expected profit have been proposed. However, current cost-sensitive methods for profit maximization do not identify how to control the defection probability while maximizing total profits over th...

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CLOUD computing has introduced a major shift in the IT delivery model by offering computing resources for hosting applications as a utility. This helps businesses and organizations to access advanced IT facilities offered by cloud providers without the expensive up-front investments necessary to establish their own infrastructure. In this context, significant research efforts have already been ...

This paper proposes a profit maximization model for Decentralized Electric Vehicle Supply Equipment (D-EVSE) equipped with renewable energy sources system such as solar system. We acknowledge power connection to the central grid when necessary. allow EV offer its surplus discharging processes. design Profit Maximization Algorithm (DPMA) help D-EVSEs take from electricity price variation during ...

For one parametric smooth family of pairs of control systems and profit densities on the circle, the transition between optimal strategies of cyclic and stationary types in the problem of maximization of infinite horizon averaged profit is studied. We show that only two types of such transition can be observed for a generic pair, study the corresponding singularities of the averaged profit as a...

A GA based optimal generation scheduling strategy is developed to solve the profit maximization problem for GENCO in the day ahead market. It is a multi objective formulation that includes the forecasted demand, forecasted market clearing price, startup cost and profit functions, besides the generating limits and demand constraints. The proposed GA approach is investigated on three unit and ten...