Shift scheduling and rostering with same shift-type and weekend-off fairness constraints in call centres

Based on the actual operational situation of call centres, this paper incorporates the constraints of the same shift-type within a week and the fairness of weekends-off into scheduling. Utilising the progressive decomposition structure of the same shift-type constraint, this paper constructs an integer programming model for multi-week scheduling optimisation problem of call centre agents. We first analyse the maximum lower bound of the problem and prove the optimality of its relaxation problem. Then we propose a two-stage algorithm which combines a constructive heuristic with neighbourhood search incorporating simulated annealing. Experimental results show that the integer programming model is only suitable for achieving optimal solutions for small-scale problems, while our two-stage algorithm can obtain (sub-)optimal solutions for large-scale problems. The impact of employment policy on labour costs is also discussed. [Received: 21 March 2023; Accepted: 12 November 2023]

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Publication Details

Journal
European J of Industrial Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ejie.2025.145292
Primary Topic
Scheduling and Timetabling Solutions
Type
article
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article

Shift scheduling and rostering with same shift-type and weekend-off fairness constraints in call centres

Yue Xu, Xiuli Wang, Ruicheng Wang
European J of Industrial Engineering
Scheduling and Timetabling Solutions
article

Shift scheduling and rostering with same shift-type and weekend-off fairness constraints in call centres

Yue Xu, Xiuli Wang, Ruicheng Wang
article en

Abstract

Based on the actual operational situation of call centres, this paper incorporates the constraints of the same shift-type within a week and the fairness of weekends-off into scheduling. Utilising the progressive decomposition structure of the same shift-type constraint, this paper constructs an integer programming model for multi-week scheduling optimisation problem of call centre agents. We first analyse the maximum lower bound of the problem and prove the optimality of its relaxation problem. Then we propose a two-stage algorithm which combines a constructive heuristic with neighbourhood search incorporating simulated annealing. Experimental results show that the integer programming model is only suitable for achieving optimal solutions for small-scale problems, while our two-stage algorithm can obtain (sub-)optimal solutions for large-scale problems. The impact of employment policy on labour costs is also discussed. [Received: 21 March 2023; Accepted: 12 November 2023]

European J of Industrial EngineeringVol. 19(3)
Nanjing University of Science and Technology (CN), Yangzhou University (CN)
Openalex Percentile: Top 93%
Scheduling and Timetabling Solutions
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Shift scheduling and rostering with same shift-type and weekend-off fairness constraints in call centres — Yue Xu, Xiuli Wang, et al. · European J of Industrial Engineering (2025) | TGRS Research Map | TGRS