A multi-stage IP-based heuristic for class timetabling and trainer rostering

Oliver Czibula (), Hanyu Gu (), Aaron Russell () and Yakov Zinder ()
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Oliver Czibula: University of Technology Sydney
Hanyu Gu: University of Technology Sydney
Yakov Zinder: University of Technology Sydney

Annals of Operations Research, 2017, vol. 252, issue 2, No 6, 305-333

Abstract: Abstract We consider a timetabling and rostering problem involving periodic retraining of large numbers of employees at an Australian electricity distributor. This problem is different from traditional high school and university timetabling problems studied in the literature in several aspects. We propose a three-stage heuristic consisting of timetable generation, timetable improvement, and trainer rostering. Large-scale integer linear programming models for both the timetabling and the rostering components are proposed, and several unique operational constraints are discussed. We show that this solution approach is able to produce good solutions in practically acceptable time.

Keywords: Timetabling; Rostering; Integer programming; Heuristic (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10479-015-2090-3

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