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Planning production and working time within an annualised hours scheme framework

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  • Albert Corominas
  • Amaia Lusa
  • Rafael Pastor

Abstract

Production flexibility is essential for industrial companies that have to deal with seasonal demand. Human resources are one of the main sources of flexibility. Annualising working hours (i.e., the possibility of irregularly distributing the total number of working hours over the course of a year) is a tool that provides organisations with flexibility; it enables a firm to adapt production capacity to fluctuations in demand. However, it can involve a worsening of the staff working conditions. To take this into account, the planning and scheduling of working time should comply with constraints derived from the law or from a collective bargaining agreement. Thus, new and more difficult working-time and production planning and scheduling problems are arising. This paper proposes two mixed-integer linear program models for solving the problem of planning the production, the working hours and the holiday weeks of the members of a human team operating in a multi-product process in which products are perishable, demand can be deferred and temporary workers are hired to stand in for employees. The results of a computational experiment are presented. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • 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.
  • Handle: RePEc:spr:annopr:v:155:y:2007:i:1:p:5-23:10.1007/s10479-007-0211-3
    DOI: 10.1007/s10479-007-0211-3
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    References listed on IDEAS

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    1. Azmat, Carlos S. & Widmer, Marino, 2004. "A case study of single shift planning and scheduling under annualized hours: A simple three-step approach," European Journal of Operational Research, Elsevier, vol. 153(1), pages 148-175, February.
    2. Rudy Hung, 1999. "A multiple‐shift workforce scheduling model under annualized hours," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(6), pages 726-736, September.
    3. A Corominas & A Lusa & R Pastor, 2002. "Using MILP to plan annualised working hours," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(10), pages 1101-1108, October.
    4. Carlos Azmat & Tony Hürlimann & Marino Widmer, 2004. "Mixed Integer Programming to Schedule a Single-Shift Workforce under Annualized Hours," Annals of Operations Research, Springer, vol. 128(1), pages 199-215, April.
    5. 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.
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    Cited by:

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    3. Komarudin, & Guerry, Marie-Anne & De Feyter, Tim & Vanden Berghe, Greet, 2013. "The roster quality staffing problem – A methodology for improving the roster quality by modifying the personnel structure," European Journal of Operational Research, Elsevier, vol. 230(3), pages 551-562.
    4. 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.

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