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Joint Determination of Machine Requirements and Shift Scheduling in Banking Operations

Author

Listed:
  • S. G. Davis

    (Department of Management Science, College of Business Administration, The Pennsylvania State University, University Park, Pennsylvania 16802)

  • E. T. Reutzel

    (Department of Management Science, College of Business Administration, The Pennsylvania State University, University Park, Pennsylvania 16802)

Abstract

In a recent article in this journal Krajewski, Ritzman, and McKenzie [Krajewski, L. J., L. P. Ritzman, P. McKenzie. 1980. Shift scheduling in banking operations: A case application. Interfaces 10 (2, April).] described a linear programming approach for shift scheduling of encoder operations in commercial banks. Their methodology uses a one-week time horizon, thereby recognizing the need to satisfy personnel considerations while responding to substantial day-to-day volume fluctuations. As part of the sensitivity analysis, they performed a series of runs to determine the sensitivity of machine requirements to changes in the weekly volume of check arrivals. One set of runs used expected check arrivals while another set used a “worst case” series of check arrivals. With a minimal change in their formulation, the optimal number of machines for any volume of check arrivals could be determined directly.

Suggested Citation

  • S. G. Davis & E. T. Reutzel, 1981. "Joint Determination of Machine Requirements and Shift Scheduling in Banking Operations," Interfaces, INFORMS, vol. 11(1), pages 41-42, February.
    • Handle: RePEc:inm:orinte:v:11:y:1981:i:1:p:41-42
    DOI: 10.1287/inte.11.1.41
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    Cited by:

    1. Gagnon, Roger J. & Sheu, Chwen, 2000. "The impact of learning, forgetting and capacity profiles on the acquisition of advanced technology," Omega, Elsevier, vol. 28(1), pages 51-76, February.
    2. Yves Nobert & Jacques Roy, 1998. "Freight Handling Personnel Scheduling at Air Cargo Terminals," Transportation Science, INFORMS, vol. 32(3), pages 295-301, August.

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    Keywords

    financial institutions: banks;

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