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Nurse Scheduling Problem

Author

Listed:
  • Erjon Duka

    (University Aleksander Moisiu, FASTIP, Durres, Albania)

Abstract

In this paper, what I have been discussed, is analyzing penalties and cost shifts based on several elements for nurse scheduling problem (NSP). NSP's issue is to assign nurses to different tasks based on constraints. The problem is known to be NP-hard, in other words it does not have a solution or needs years to be solved. In this work we try to solve the problem by satisfying the constraints set, and we also include the nurse's preference and try to balance the difficulty level of all the involved nurses. We also analyze the complexity of the problem as a function of parameters such as number of nurses, number of shifts, optimality of the function. According to the importance in practice, many scientists have developed NSP problems in a satisfactory time limit.

Suggested Citation

  • Erjon Duka, 2014. "Nurse Scheduling Problem," Mathematical Modelling with Application in Economics 1410, Technical University of Cluj Napoca, Department of Economics and Physics.
    • Handle: RePEc:clj:icmmae:1410
    as

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    File URL: ftp://econ.cunbm.utcluj.ro/econ/papers/icmmae/icmmae14-10.pdf
    File Function: First version, 2014
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    References listed on IDEAS

    as
    1. Gratiela Dana Boca, 2014. "A Quality Spiral For Knowledge Management," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1108-1116, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    NSP(Nurse Scheduling Problem); IP(Integer Programming); LIP (Linear Integer Programming); NIP(Non Linear Integer Programming); SIP(Scheduling in Integer Programming); MIP (Mixed Integer Programming); MILP(Mixed Integer Linear Programming); G-IP (Goal Programming); Constraint Programming (CP); CPLEX; Limbo ext = Integer Programming applications and Software; NP-hard(Nurse Scheduling in Integer Programming);
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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