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Planning Annualised Hours with a Finite Set of Weekly Working Hours and Joint Holidays

Author

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  • Albert Corominas
  • Amaia Lusa
  • Rafael Pastor

Abstract

The need to adjust productive capacity to seasonal demand and the increasing flexibility in the distribution of annual working hours has given rise to new problems with respect to the organisation of staff working time. This paper presents a problem of planning annual working hours, in which the number of weekly working hours for any worker must belong to a previously agreed finite set and holiday weeks are the same for all the staff members. The problem is modelled and solved as a mixed integer linear program. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Albert Corominas & Amaia Lusa & Rafael Pastor, 2004. "Planning Annualised Hours with a Finite Set of Weekly Working Hours and Joint Holidays," Annals of Operations Research, Springer, vol. 128(1), pages 217-233, April.
  • Handle: RePEc:spr:annopr:v:128:y:2004:i:1:p:217-233:10.1023/b:anor.0000019106.52631.ff
    DOI: 10.1023/B:ANOR.0000019106.52631.ff
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    Citations

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    Cited by:

    1. E. Borgonovo & L. Peccati, 2011. "Managerial insights from service industry models: a new scenario decomposition method," Annals of Operations Research, Springer, vol. 185(1), pages 161-179, May.
    2. Corominas, Albert & Lusa, Amaia & Pastor, Rafael, 2007. "Using a MILP model to establish a framework for an annualised hours agreement," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1495-1506, March.
    3. Corominas, Albert & Lusa, Amaia & Olivella, Jordi, 2012. "A detailed workforce planning model including non-linear dependence of capacity on the size of the staff and cash management," European Journal of Operational Research, Elsevier, vol. 216(2), pages 445-458.
    4. Corominas, Albert & Pastor, Rafael & Rodriguez, Ericka, 2006. "Rotational allocation of tasks to multifunctional workers in a service industry," International Journal of Production Economics, Elsevier, vol. 103(1), pages 3-9, September.
    5. Albert Corominas & Amaia Lusa & Rafael Pastor, 2007. "Planning production and working time within an annualised hours scheme framework," Annals of Operations Research, Springer, vol. 155(1), pages 5-23, November.
    6. Corominas, Albert & Lusa, Amaia & Pastor, Rafael, 2007. "Planning annualised hours with a finite set of weekly working hours and cross-trained workers," European Journal of Operational Research, Elsevier, vol. 176(1), pages 230-239, January.
    7. Anderson Hoose & Víctor Yepes & Moacir Kripka, 2021. "Selection of Production Mix in the Agricultural Machinery Industry Considering Sustainability in Decision Making," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    8. Egbert Veen & Erwin Hans & Bart Veltman & Leo Berrevoets & Hubert Berden, 2015. "A case study of cost-efficient staffing under annualized hours," Health Care Management Science, Springer, vol. 18(3), pages 279-288, September.
    9. Hertz, Alain & Lahrichi, Nadia & Widmer, Marino, 2010. "A flexible MILP model for multiple-shift workforce planning under annualized hours," European Journal of Operational Research, Elsevier, vol. 200(3), pages 860-873, February.
    10. 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.
    11. Desheng Wu & David Olson, 2011. "Foreword," Annals of Operations Research, Springer, vol. 185(1), pages 1-3, May.
    12. Lusa, Amaia & Corominas, Albert & Muñoz, Norberto, 2008. "A multistage scenario optimisation procedure to plan annualised working hours under demand uncertainty," International Journal of Production Economics, Elsevier, vol. 113(2), pages 957-968, June.
    13. Emir Hüseyin Özder & Evrencan Özcan & Tamer Eren, 2019. "Staff Task-Based Shift Scheduling Solution with an ANP and Goal Programming Method in a Natural Gas Combined Cycle Power Plant," Mathematics, MDPI, vol. 7(2), pages 1-26, February.

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