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Where and when to pray? Optimal mass planning and efficient resource allocation in the church

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  • Martin, Alexander
  • Weibelzahl, Martin

Abstract

We will present a theoretical model for an integrated planning of Eucharistic masses and Liturgies of the Word assuming different priests, assistant priests and lay persons. This all-integer vector optimization problem can be seen as an economic, spacial and inter-temporal resource allocation problem taking the challenges in the context of parish clusters into account. Having provided some theoretical insights into the mass planning problem, numerical results show the relevance of our model for an efficient decision-making in religious practice. We demonstrate that innovative team work arrangements in the church can substantially improve the efficiency, fairness and acceptance of mass allocations.

Suggested Citation

  • Martin, Alexander & Weibelzahl, Martin, 2014. "Where and when to pray? Optimal mass planning and efficient resource allocation in the church," FAU Discussion Papers in Economics 06/2014, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    • Handle: RePEc:zbw:iwqwdp:062014
    as

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    References listed on IDEAS

    as
    1. Alex Orden, 1956. "The Transhipment Problem," Management Science, INFORMS, vol. 2(3), pages 276-285, April.
    2. Matthias Ehrgott, 2005. "Multicriteria Optimization," Springer Books, Springer, edition 0, number 978-3-540-27659-3, June.
    3. George B. Dantzig, 1955. "Linear Programming under Uncertainty," Management Science, INFORMS, vol. 1(3-4), pages 197-206, 04-07.
    4. Stephen J. Deery & Roderick D. Iverson, 2005. "Labor-Management Cooperation: Antecedents and Impact on Organizational Performance," ILR Review, Cornell University, ILR School, vol. 58(4), pages 588-609, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Allocation; Resources; Church; Job Design and Cooperation; Labor and Personnel Management; Normative Criteria; Optimization Models;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

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