Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3926
Title: An integrated solution approach for multi-objective, multi-skill workforce scheduling and routing problems
Authors: Çakırgil, Seray
Yücel, Eda
Kuyzu, Gültekin
235501
19092
Keywords: Workforce scheduling and routing
Bi-objective decision making
Matheuristics
Variable neighborhood search
Issue Date: Jun-2020
Publisher: Elsevier Ltd.
Source: Çakırgil, S., Yücel, E., & Kuyzu, G. (2020). An integrated solution approach for multi-objective, multi-skill workforce scheduling and routing problems. Computers & Operations Research, 118, 104908.
Abstract: We study the multi-skill workforce scheduling and routing problem in field service operations. It is motivated by a real-life problem faced by electricity distribution companies on a daily basis. Given a set of technicians with different skills and a set of geographically dispersed tasks with different skill requirements and priorities, the aim is to form teams of technicians and to assign a sequence of tasks to each team according to their skills. There are two objectives: completing higher priority tasks earlier and minimizing total operational costs. We propose a mixed integer programming model to find Pareto optimal solutions. Because the computational effort considerably increases for real life problem instances, we propose a two-stage matheuristic to obtain a good approximation of the Pareto frontier. We demonstrate the performance of the proposed matheuristic in real life problem instances and instances from the literature.
URI: https://hdl.handle.net/20.500.11851/3926
https://doi.org/10.1016/j.cor.2020.104908
ISSN: 0305-0548
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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