A methodology to create robust job rotation schedules

A methodology to create robust job rotation schedules

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Article ID: iaor20082966
Country: Germany
Volume: 155
Issue: 1
Start Page Number: 339
End Page Number: 360
Publication Date: Nov 2007
Journal: Annals of Operations Research
Authors: ,
Keywords: heuristics
Abstract:

This research proposes a methodology for developing robust job rotation schedules to reduce the likelihood of low back injury due to lifting. We consider settings that have uncertain task demands and different worker profiles in order to simulate real settings. We begin by considering deterministic versions of the problem and solve these using mathematical programming. Because mathematical programming cannot be readily applied to stochastic versions of the problem, heuristic solution methods are developed. The effectiveness of these methods is demonstrated by comparing the results with provably optimal solutions from the deterministic problems and with an enumerative approach that is applied to the stochastic version of the problem. Across the test problems, the proposed heuristics are effective at finding good job rotation solutions. The proposed methods could also be applied to solve other job rotation objectives such as maximizing productivity and reducing exposure to other work environmental factors such as excessive noise.

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