Algorithm for computing workloads

Authors

  • Mauricio Becerra Fernández Catholic University of Colombia image/svg+xml
  • Stefany Ayala Lozano Catholic University of Colombia image/svg+xml
  • Jenny Alexandra Astros Hernández Catholic University of Colombia image/svg+xml
  • Elsa Cristina González La Rotta Catholic University of Colombia image/svg+xml

Keywords:

algorithm, labor productivity, workloads

Abstract

This paper presents the development an algorithm for computing workloads, supported in the analysis of similar studies and theory study methods and times. The algorithm is proposed as a support for the analysis of the level work assigned to a particular position or a group of workers in a given area, whether in the manufacturing industry or services, which allow to level the workload assigned by defining alternatives that promote increased productivity, promoting improvements in the working environment and working conditions.

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Author Biographies

  • Mauricio Becerra Fernández, Catholic University of Colombia
    Programa de Ingeniería Industrial, Facultad de Ingeniería, Universidad Católica de Colombia. Bogotá, Colombia.
  • Stefany Ayala Lozano, Catholic University of Colombia
    Programa de Ingeniería Industrial, Facultad de Ingeniería, Universidad Católica de Colombia. Bogotá, Colombia.
  • Jenny Alexandra Astros Hernández, Catholic University of Colombia
    Programa de Ingeniería Industrial, Facultad de Ingeniería, Universidad Católica de Colombia. Bogotá, Colombia.
  • Elsa Cristina González La Rotta, Catholic University of Colombia
    Programa de Ingeniería Industrial, Facultad de Ingeniería, Universidad Católica de Colombia. Bogotá, Colombia.

References

CASO NEIRA, A. Técnicas de medición del trabajo, 2006. Madrid/Fundación Confemetal.

DIAZ, H. A. Medición de la gestión del talento humano y su incidencia en la competitividad de la pequeña empresa, 2009. Bogotá/Universidad la Gran Colombia.

EUROCONTROL. Review of Workload Measurement, Analysis and Interpretation Methods, 2003. [Disponible en]: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.121.3382&rep=rep1&type=pdf [consulta: 2013-03-04].

GARCIA, R. Estudio del trabajo, 2005. México D.F./McGraw-Hill.

HEAPS, M., KELLEY, C., OLIVO, J., and VALENCIK, S. A continuous improvement approach to support staff workload analysis: a case study. Information Technology, Learning, and Performance Journal, 1999, vol. 17, no. 2, pp. 45-52.

HENDRY, L., LAND, M., STEVENSON, M., and GAALMAN, G. Investigating implementation issues for workload control (WLC): a comparative case study analysis. International Journal of Production Economics, 2008, vol. 112, no. 1, p. 452-469.

HUANG, L. H. Labour assignment and workload balance evaluation for a production line. Estonian Journal of Engineering, 2009, vol. 15, no. 1, p. 34-47.

KELLER, J. Human performance modeling for discrete-event simulation: workload. In: Proceedings of the Winter Simulation Conference, 2002. pp. 157-162.

LIEDERBACH, J., FRITSCH, E., and WOMACK, C. Detective workload and opportunities for increased productivity in criminal investigations. Police Practice and Research, 2011, vol. 12, no. 1, p. 50-65.

LOCKE, R., LEACH, C., KITSELL, F., and GRIFFITH, J. The impact on the workload of the ward manager with the introduction of administrative assistants. Journal of Nursing Management, 2011, vol. 19, no. 2, pp. 177-185.

MORIGUCHI, C., ALEM, M., and COURY, H. Evaluation of workload among industrial workers with the Need for Recovery Scale. Revista Brasileira de Fisioterapia, 2011, vol. 15, no. 2, p. 154-159.

NIEBEL, B., and FREIVALDS, A. Ingenieria Industrial: Métodos, estándares y diseño del trabajo, 2004. Mexico D.F./Alfaomega.

OIT. Introducción al estudio del trabajo, 2011. Mexico D.F./Limusa.

RIGGS, J. Sistemas de producción, 2008. México D.F./Limusa.

USAID. Workload best practices: a methodology to analyze workload in public sector organizations, 2011. [Disponible en]: http://www.frp2.org/english/Portals/0/PDFs/WLA%20summary%20E%20,OCT%2030,%202011.pdf [consulta: 2013-03-02].

VARDI, I. The impacts of different types of workload allocation models on academic satisfaction and working life. Higher Education, 2009, vol. 57, no. 4, p. 499-508.

VAZQUEZ, C. M., and BORRELL, R. M. Recursos humanos en salud en costa rica: información actual y desafíos para una década, 2006. San José/Grupo Gráfico GLO.

ZANDIN, K. B., and MAYNARD, H. B. Manual del Ingeniero Industrial, 2005. México D.F./McGraw-Hill.

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Published

2016-04-30

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