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Patient_data

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posted on 2024-07-19, 04:56 authored by Vishmi FernandoVishmi Fernando, Melih OzlenMelih Ozlen, Sona TaheriSona Taheri

The inputs for the problem instances are provided.

New Patients (type, priority, weeks, cycles, duration, time window, location)

  • Location data from 3 location classes (Random Clustered(rc), Random(r), Clustered(c)).

Existing Patients (type, priority, weeks, cycles, duration, time window, location, scheduled treatment days)

  • There are three levels of utilisation of the system according to the number of patients in the system (low(l), mid(m), high(h)).
  • Location data from 3 location classes (Random Clustered(rc), Random(r), Clustered(c)).

The location data was sourced from Homberger and Gehring (2005) (doi:10.1016/j.ejor.2004.01.027).


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