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The Disaggregation of Aggregate Manpower Plans

Author

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  • Larry P. Ritzman

    (Ohio State University)

  • LeRoy J. Krajewski

    (Ohio State University)

  • Michael J. Showalter

    (Ohio State University)

Abstract

Aggregate manpower plans can be made operational only if they are translatable into shorter range assignments of personnel to specific work groups, operations, and products or services. This paper describes a combined heuristic programming and simulation algorithm amenable to this process of decomposition. Due to the complexity of the problem and the multiplicity of objectives, optimization techniques are only of academic interest. The algorithm is adapted to a particular environment, namely the construction of tour assignments in a post office. A "tour assignment" specifies simultaneously the exact timing (days and hours) of the work week (shift or tour) as well as the particular job assignment for each employee in the workforce. After describing the problem structure, the algorithm's logic is explained along with the interactive nature of the man-machine approach. Several options can be exercised to combine the power of a computer model with the judgment of the decision maker. The application of this methodology is illustrated with representative data, showing how the search and decision process can be conducted.

Suggested Citation

  • Larry P. Ritzman & LeRoy J. Krajewski & Michael J. Showalter, 1976. "The Disaggregation of Aggregate Manpower Plans," Management Science, INFORMS, vol. 22(11), pages 1204-1214, July.
    • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:11:p:1204-1214
    DOI: 10.1287/mnsc.22.11.1204
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    Citations

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    Cited by:

    1. Valls, Vicente & Angeles Perez, M. & Sacramento Quintanilla, M., 1998. "Pre-processing techniques for resource allocation in the heterogeneous case," European Journal of Operational Research, Elsevier, vol. 107(2), pages 470-491, June.
    2. Restrepo, María I. & Gendron, Bernard & Rousseau, Louis-Martin, 2017. "A two-stage stochastic programming approach for multi-activity tour scheduling," European Journal of Operational Research, Elsevier, vol. 262(2), pages 620-635.
    3. Scott E. Sampson, 2008. "OR PRACTICE---Optimization of Vacation Timeshare Scheduling," Operations Research, INFORMS, vol. 56(5), pages 1079-1088, October.
    4. Li, Ninghua & Li, Ling X., 2000. "Modeling staffing flexibility: A case of China," European Journal of Operational Research, Elsevier, vol. 124(2), pages 255-266, July.
    5. Jonathan F. Bard & Lin Wan, 2008. "Workforce Design with Movement Restrictions Between Workstation Groups," Manufacturing & Service Operations Management, INFORMS, vol. 10(1), pages 24-42, November.
    6. Marie-Claude Côté & Bernard Gendron & Louis-Martin Rousseau, 2011. "Grammar-Based Integer Programming Models for Multiactivity Shift Scheduling," Management Science, INFORMS, vol. 57(1), pages 151-163, January.
    7. Easton, F. F. & Rossin, D. F., 1997. "Overtime schedules for full-time service workers," Omega, Elsevier, vol. 25(3), pages 285-299, June.
    8. 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.
    9. María I. Restrepo & Bernard Gendron & Louis-Martin Rousseau, 2016. "Branch-and-Price for Personalized Multiactivity Tour Scheduling," INFORMS Journal on Computing, INFORMS, vol. 28(2), pages 334-350, May.
    10. 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.
    11. Marie-Claude Côté & Bernard Gendron & Louis-Martin Rousseau, 2013. "Grammar-Based Column Generation for Personalized Multi-Activity Shift Scheduling," INFORMS Journal on Computing, INFORMS, vol. 25(3), pages 461-474, August.

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