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The objective function of the problem is to maximize expected profit from participation in day-ahead market and intraday market and minimize the expected cost imposed by energy deviations in real time market.
Many cost-sensitive learning methods which identify valuable customers to maximize expected profit have been proposed.
Hu et al. (2014) obtained optimal ordering and production policy in a two-echelon supply chain to maximize expected profit.
Using this methodology a power producer holding thermal generating units in more than one location may maximize expected profit while keeping a limited risk exposure.
Process designs and scale-ups that maximize expected profit were determined, providing a valuable knowledge frame to support the long-term decision-making process, and enabling earlier and better decisions during NPD.
For example, in order to maximize expected profit and minimize risk, they must periodically decide when and by how much to expand capacity and even more often how much to produce, all in the face of unknown future demands, available technology, and so on.
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She will maximize expected profits, recognizing that marginal revenue is less than price.
In order to maximize expected profits, the firm may choose either a pair of prices, one for each type of hospital, such that all hospitals adopt personalized medicine, or a pair of prices such that only the high prevalence hospitals apply personalized treatments.
Experiments are designed by maximizing expected profit over a future horizon.
We demonstrate a situation where tournament incentives eliminate the effects of project risk on managers' decisions as concerns with winning take precedence over concerns of maximizing expected profit.
They must make design and operating decisions to satisfy several conflicting goals such as maximizing expected profit, minimizing risk, and sustaining long-term viability and competitiveness.
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