Arena Material: chapter 5 - AS Nida
Arena Material: chapter 5 - AS Nida Arena Material: chapter 5 - AS Nida
odel 5-2: Enhanced Call Center hanges Incoming calls’ arrival rate varies over day Probabilistic model – Nonstationary Poisson process – More in Section 12.3 Instead of a constant rate (= 1 / mean interarrival time), specify a rate function ution – it’s sy to nerate this orrectly ... e text for tails – Arena supports piecewise-constant rate function – “step” functions Easy to specify, strong theoretical support – Rate-function specification: In Arena, rates MUST be in arrivals per HOUR, regardless of base time units or time intervals
odel 5-2: Enhanced Call Center hanges (cont’d.) Sales-staff size varies over day Data in text, Schedule data module, Sales Schedule Tech-support staff are partially cross-trained, work complicated schedule: Will use Arena Sets concept to implement this cross training
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odel 5-2: Enhanced Call Center<br />
hanges<br />
Incoming calls’ arrival rate varies over day<br />
Probabilistic model – Nonstationary Poisson process<br />
– More in Section 12.3<br />
Instead of a constant rate (= 1 / mean interarrival time),<br />
specify a rate function<br />
ution – it’s<br />
sy to<br />
nerate this<br />
orrectly ...<br />
e text for<br />
tails<br />
– <strong>Arena</strong> supports piecewise-constant rate function – “step” functions<br />
Easy to specify, strong theoretical support<br />
– Rate-function specification:<br />
In <strong>Arena</strong>, rates MUST<br />
be in arrivals per HOUR,<br />
regardless of base time<br />
units or time intervals