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A bi-criterion stochastic MINLP was formulated to minimize the expected total annual cost (TAC) and its variability, controlled by the worst case (WC) risk management metric.
It is proposed to minimize total expected loss-cost to obtain the control chart parameters.
According to Remark 1, it is intractable to minimize the expected total cost (and thus E[ U T ]).
For the determination of optimal downtime, uptime of production, and production quantity, it is required to minimize the expected total cost.
In so doing, they can minimize the expected social cost of the disease and its control.
Our objective is to maximize the expected quality of the received data, or to minimize the expected distortion.
It aims at finding high-throughput paths which minimize the expected total number of MAC-layer transmissions (including retransmissions) required for delivering a packet hop-by-hop to its destination.
This is so as to minimize the expected disutilities.
The model tries to minimize the expected transportation cost.
The objective here is to minimize the expected end-to-end delay for all packets.
Both study designs are computed to minimize the expected accrual under the null hypothesis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com