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Optimal resource allocation in survey designs

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  • Calinescu, Melania
  • Bhulai, Sandjai
  • Schouten, Barry
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    Abstract

    Resource allocation is a relatively new research area in survey designs and has not been fully addressed in the literature. Recently, the declining participation rates and increasing survey costs have steered research interests towards resource planning. Survey organizations across the world are considering the development of new mathematical models in order to improve the quality of survey results while taking into account optimal resource planning. In this paper, we address the problem of resource allocation in survey designs and we discuss its impact on the quality of the survey results. We propose a novel method in which the optimal allocation of survey resources is determined such that the quality of survey results, i.e., the survey response rate, is maximized. We demonstrate the effectiveness of our method by extensive numerical experiments.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 226 (2013)
    Issue (Month): 1 ()
    Pages: 115-121

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    Handle: RePEc:eee:ejores:v:226:y:2013:i:1:p:115-121

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Resource allocation; Nonlinear optimization; Dynamic programming; Markov decision theory; Survey design; Scheduling;

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    Cited by:
    1. Lynn, Peter, 2013. "Targeted response inducement strategies on longitudinal surveys," Understanding Society Working Paper Series 2013-02, Understanding Society at the Institute for Social and Economic Research.

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