Add proper values for the response time calculatio
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@ -34,6 +34,8 @@
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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% TODO: "The right strategy" pun
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\titlespacing*{\section}
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{0mm}{3mm}{1mm}
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@ -280,11 +282,11 @@ the time dispensing water, is \cite[Section 14.3]{stewart_probability_2009}%
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,%
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\end{align*}%
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where $S$ denotes the service time (i.e., the time spent refilling a bottle),
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$\lambda$ the mean arrival time, and $\rho = \lambda \cdot E\mleft\{
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$\lambda$ the mean arrival rate, and $\rho = \lambda \cdot E\mleft\{
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S \mright\}$ the system utilization. Using our
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experimental data we can approximate all parameters and obtain
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\todo{$W \approx \SI{4}{\second}$}. The difference to always using
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the fastest strategy can be calculated as \todo{$\SI{5}{\second}$}.
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$W \approx \SI{23.3}{\second}$. The difference to always using
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the fastest strategy amounts to $\SI{4.14}{\second}$.
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% We examine the effects of the choice of hydration strategy. To
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% this end, we start by estimating the potential time savings possible by always
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% choosing the fastest strategy:%
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