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Joint employee weekly timetabling and daily rostering: A decision-support tool for a logistics platform

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  • Ladier, Anne-Laure
  • Alpan, Gülgün
  • Penz, Bernard

Abstract

To deal with their highly variable workload, logistics companies make their task force flexible using multi-skilled employees, flexible working hours or short-term contracts. Together with the legal constraints and the handling equipments’ capacities, these possibilities make personnel scheduling a complex task. This paper describes a model to support their chain of decisions from the weekly timetabling to the daily rostering (detailed task allocation).

Suggested Citation

  • Ladier, Anne-Laure & Alpan, Gülgün & Penz, Bernard, 2014. "Joint employee weekly timetabling and daily rostering: A decision-support tool for a logistics platform," European Journal of Operational Research, Elsevier, vol. 234(1), pages 278-291.
  • Handle: RePEc:eee:ejores:v:234:y:2014:i:1:p:278-291
    DOI: 10.1016/j.ejor.2013.10.023
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    References listed on IDEAS

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    1. Guy Eitzen & David Panton & Graham Mills, 2004. "Multi-Skilled Workforce Optimisation," Annals of Operations Research, Springer, vol. 127(1), pages 359-372, March.
    2. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    3. A.T. Ernst & H. Jiang & M. Krishnamoorthy & B. Owens & D. Sier, 2004. "An Annotated Bibliography of Personnel Scheduling and Rostering," Annals of Operations Research, Springer, vol. 127(1), pages 21-144, March.
    4. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    5. Detienne, Boris & Pridy, Laurent & Pinson, ric & Rivreau, David, 2009. "Cut generation for an employee timetabling problem," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1178-1184, September.
    6. Campbell, Gerard M. & Diaby, Moustapha, 2002. "Development and evaluation of an assignment heuristic for allocating cross-trained workers," European Journal of Operational Research, Elsevier, vol. 138(1), pages 9-20, April.
    7. Brucker, Peter & Qu, Rong & Burke, Edmund, 2011. "Personnel scheduling: Models and complexity," European Journal of Operational Research, Elsevier, vol. 210(3), pages 467-473, May.
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    Cited by:

    1. Hans Corsten & Ferdinand Becker & Hagen Salewski, 2020. "Integrating truck and workforce scheduling in a cross-dock: analysis of different workforce coordination policies," Journal of Business Economics, Springer, vol. 90(2), pages 207-237, March.
    2. Fabiola Regis-Hernández & Giuliana Carello & Ettore Lanzarone, 2020. "An optimization tool to dimension innovative home health care services with devices and disposable materials," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 561-598, September.
    3. Vlado Popović & Milorad Kilibarda & Milan Andrejić & Borut Jereb & Dejan Dragan, 2021. "A New Sustainable Warehouse Management Approach for Workforce and Activities Scheduling," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    4. Tadumadze, Giorgi & Boysen, Nils & Emde, Simon & Weidinger, Felix, 2019. "Integrated truck and workforce scheduling to accelerate the unloading of trucks," European Journal of Operational Research, Elsevier, vol. 278(1), pages 343-362.

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