An assessment of a days off decomposition approach to personnel scheduling

Sophie van Veldhoven, Gerhard F. Post, Egbert van der Veen, Tim Curtois

Research output: Book/Report › Report › Professional

Abstract

This paper studies a two-phase decomposition approach to solve the personnel scheduling problem. The first phase creates a days off schedule, indicating working days and days off for each employee. The second phase assigns shifts to the working days in the days off schedule. This decomposition is motivated by the fact that personnel scheduling constraints are often divided in two categories: one specifies constraints on working days and days off, while the other specifies constraints on shift assignments. To assess the consequences of the decomposition approach, we apply it to public benchmark instances, and compare this to solving the personnel scheduling problem directly. In all steps we use mathematical programming. We also study the extension that includes night shifts in thefirst phase of the decomposition. We present a detailed results analysis, and analyze the effect of various instance parameters on the decompositions' results. In general, we observe that the decompositions significantly reduce the computation time, and that they produce good solutions for most instances.
LanguageUndefined
Place of PublicationEnschede
PublisherDepartment of Applied Mathematics, University of Twente
Number of pages18
Publication statusPublished - Apr 2013

Publication series

NameMemorandum
PublisherUniversity of Twente, Department of Applied Mathematics
No.2005
ISSN (Print)1874-4850
ISSN (Electronic)1874-4850

Keywords

  • IR-85558
  • METIS-296453
  • Personnel scheduling
  • Decomposition
  • Mathematical Programming
  • EWI-23259
  • Days off scheduling

Cite this

van Veldhoven, S., Post, G. F., van der Veen, E., & Curtois, T. (2013). An assessment of a days off decomposition approach to personnel scheduling. (Memorandum; No. 2005). Enschede: Department of Applied Mathematics, University of Twente.
van Veldhoven, Sophie ; Post, Gerhard F. ; van der Veen, Egbert ; Curtois, Tim. / An assessment of a days off decomposition approach to personnel scheduling. Enschede : Department of Applied Mathematics, University of Twente, 2013. 18 p. (Memorandum; 2005).
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van Veldhoven, S, Post, GF, van der Veen, E & Curtois, T 2013, An assessment of a days off decomposition approach to personnel scheduling. Memorandum, no. 2005, Department of Applied Mathematics, University of Twente, Enschede.

An assessment of a days off decomposition approach to personnel scheduling. / van Veldhoven, Sophie; Post, Gerhard F.; van der Veen, Egbert; Curtois, Tim.

Enschede : Department of Applied Mathematics, University of Twente, 2013. 18 p. (Memorandum; No. 2005).

Research output: Book/Report › Report › Professional

TY - BOOK

T1 - An assessment of a days off decomposition approach to personnel scheduling

AU - van Veldhoven, Sophie

AU - Post, Gerhard F.

AU - van der Veen, Egbert

AU - Curtois, Tim

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N2 - This paper studies a two-phase decomposition approach to solve the personnel scheduling problem. The first phase creates a days off schedule, indicating working days and days off for each employee. The second phase assigns shifts to the working days in the days off schedule. This decomposition is motivated by the fact that personnel scheduling constraints are often divided in two categories: one specifies constraints on working days and days off, while the other specifies constraints on shift assignments. To assess the consequences of the decomposition approach, we apply it to public benchmark instances, and compare this to solving the personnel scheduling problem directly. In all steps we use mathematical programming. We also study the extension that includes night shifts in thefirst phase of the decomposition. We present a detailed results analysis, and analyze the effect of various instance parameters on the decompositions' results. In general, we observe that the decompositions significantly reduce the computation time, and that they produce good solutions for most instances.

AB - This paper studies a two-phase decomposition approach to solve the personnel scheduling problem. The first phase creates a days off schedule, indicating working days and days off for each employee. The second phase assigns shifts to the working days in the days off schedule. This decomposition is motivated by the fact that personnel scheduling constraints are often divided in two categories: one specifies constraints on working days and days off, while the other specifies constraints on shift assignments. To assess the consequences of the decomposition approach, we apply it to public benchmark instances, and compare this to solving the personnel scheduling problem directly. In all steps we use mathematical programming. We also study the extension that includes night shifts in thefirst phase of the decomposition. We present a detailed results analysis, and analyze the effect of various instance parameters on the decompositions' results. In general, we observe that the decompositions significantly reduce the computation time, and that they produce good solutions for most instances.

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KW - Decomposition

KW - Mathematical Programming

KW - EWI-23259

KW - Days off scheduling

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BT - An assessment of a days off decomposition approach to personnel scheduling

PB - Department of Applied Mathematics, University of Twente

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van Veldhoven S, Post GF, van der Veen E, Curtois T. An assessment of a days off decomposition approach to personnel scheduling. Enschede: Department of Applied Mathematics, University of Twente, 2013. 18 p. (Memorandum; 2005).

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