Publication Date:
2019
Description:
〈p〉Publication date: Available online 6 August 2019〈/p〉
〈p〉〈b〉Source:〈/b〉 European Journal of Operational Research〈/p〉
〈p〉Author(s): Sana Dahmen, Monia Rekik, François Soumis, Guy Desaulniers〈/p〉
〈h5〉Abstract〈/h5〉
〈div〉〈p〉In this paper, we address a personalized multi-department multi-day shift scheduling problem with a multi-skill heterogeneous workforce where employees can be transferred between departments under some restrictions. The objective is to construct a schedule that minimizes under-coverage, over-coverage, transfer and labor costs. We propose a novel two-stage approach to solve it: the first stage considers an approximate and smaller problem based on data aggregation and produces approximate transfers. The second stage constructs personalized schedules based on the information deduced from the first stage. An exhaustive experimental study is conducted and proves the efficiency of the proposed approach in terms of solution quality and computing times.〈/p〉〈/div〉
Print ISSN:
0377-2217
Electronic ISSN:
1872-6860
Topics:
Mathematics
,
Economics
