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Support to decision making in the allocation of tutors in distance learning courses using integer programming

Published: 23 May 2012 Publication History

Abstract

Operations research is consolidated as an important area of applied mathematics, having among its classical problems that of resources allocation. This paper presents the problem of tutor allocation in distance learning courses, using individual evaluation score criteria in order to maximize the total final score punctuation in the allocation. A model was formulated using integer linear programming, which was tested in simulation with real data, trying to identify if a model that allows to enter the relevant data and generate a proposal for automatic allocation would facilitate the process of resources allocation, making the process more efficient than the manual allocation.

References

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Amorim, J. A. et al. 2010 Contribuições da pesquisa operacional no auxílio à tomada de decisão referente à alocação de recursos humanos para tarefas de educação a distância. In: International Conference on Engineering and Computer Education, 2007, Santos. URL: http://www.cose.fee.unicamp.br/~anibal/projetos/paper%20606.doc. Acesso em: 03 de setembro de 2010.
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Bodanese, Ronaldo Enderli; Oliveira, José Adrelino de; Scalabrin, Idionir; Mores, Claudionor J. 2005 Teoria das restrições, pesquisa operacional e programação linear, estudo de caso com utilização do solver. In: IX Congresso Internacional de Custos, 2005, Florianópolis. URL: http://www.ucla.edu.ve/DAC/departamentos/coordinaciones/costoI/Congreso%20Internacional%20de%20Costos/VOL_200511232139%20(D)/artigos/custos_412.pdf. Acesso em: 03 de setembro de 2010.
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Colin, Emerson C. 2007 Pesquisa Operacional: 170 aplicações em estratégia, finanças, logística, produção, marketing e vendas. Rio de Janeiro: LTC.
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Lessa, Nilton de Oliveira; Marchi, Mônica Maria De; Belderrain, Mischel C. N. 2007 Planejamento de capacidades de uma organização: uma abordagem com foco na alocação de recursos. Sistemas & Gestãão, v. 2, n. 3, p. 257--273, setembro a dezembro de 2007.
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Microsoft. 2011 Definir e resolver um problema utilizando o Solver. URL: http://office.microsoft.com/pt-pt/excel-help/definir-e-resolver-um-problema-utilizando-o-solver-HP010072691.aspx. Acesso em: 30 de maio de 2011.
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Taha, H. 2008 Pesquisa Operacional. 8.ed. São Paulo: Pearson-Prentice Hall.
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Ainbinder et al. A Customized Branch and Bound Algorithm to Solve the Resource-Sharing and Scheduling Problem (RSSP). URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4097680
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Sebt et al. Optimized Allocation of Expert Human Resources to Project. 2009 Third Asia International Conference on Modelling & Simulation. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5072017.
  1. Support to decision making in the allocation of tutors in distance learning courses using integer programming

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    EATIS '12: Proceedings of the 6th Euro American Conference on Telematics and Information Systems
    May 2012
    411 pages
    ISBN:9781450310123
    DOI:10.1145/2261605
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Universidad Politécnica de Valencia, Spain
    • UFS: Federal University of Sergipe
    • UNAB: Autonomous University of Bucaramanga
    • EATIS: Euro American Association on Telematics and Information Systems

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 May 2012

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    Author Tags

    1. distance education
    2. integer linear programming
    3. resource allocation

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    EATIS '12
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    • UNAB
    • EATIS

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    Overall Acceptance Rate 17 of 64 submissions, 27%

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