NDLI: Improving fairness in staff assignment: An approach for lexicographic goal programming

Content Provider	IEEE Xplore Digital Library
Author	Rihm, T. Baumann, P.
Copyright Year	2015
Description	Author affiliation: Dept. of Ind. Eng. & Oper. Res., UC Berkeley, Berkeley, CA, USA (Baumann, P.) \|\| Dept. of Bus. Adm., Univ. of Bern, Bern, Switzerland (Rihm, T.)
Abstract	In many staff-assignment problems, a large variety of requirements has to be considered when assigning employees to work shifts. As the importance of the requirements is often described in a hierarchical manner, lexicographic goal programming has been used to minimize the number of requirement violations. The resulting schedules are in general of high quality with respect to requirement violations but may lack acceptance by employees because of an unfair distribution of the violations. We introduce a novel approach for lexicographic goal programming that allows to improve an existing schedule in terms of fairness without deteriorating its quality with regard to requirement violations. The effectiveness of the proposed approach is demonstrated for a test set derived from real-world data.
Starting Page	1247
Ending Page	1251
File Size	1732066
Page Count	5
File Format	PDF
e-ISBN	9781467380669
DOI	10.1109/IEEM.2015.7385847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Programming Linear programming Software Sun Mixed-Integer Linear Programming Staff Assignment Fairness Multi-Objective Programming Business
Content Type	Text
Resource Type	Article

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