Table of Contents
Journal of Industrial Engineering
Volume 2015 (2015), Article ID 382673, 5 pages
http://dx.doi.org/10.1155/2015/382673
Research Article

Regression Model to Estimate Standard Time through Energy Consumption of Workers in Manual Assembly Lines under Moderate Workload

1Department of Industrial Engineering, Instituto Tecnológico de Delicias, Paseo Tecnológico Km 3.5, 33000 Delicias, CHIH, Mexico
2Division of Postgraduate Studies and Research, Instituto Tecnológico de Ciudad Juárez, Avenida Tecnológico 1340, 32500 Ciudad Juárez, CHIH, Mexico
3Department of Industrial and Manufacturing Engineering, Universidad Autónoma de Ciudad Juárez, Avenida del Charro 450 Norte, 32310 Ciudad Juárez, CHIH, Mexico

Received 19 September 2014; Accepted 31 January 2015

Academic Editor: Uğur Özcan

Copyright © 2015 Abdul Ayabar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. Leibovich, R. Injoque, and M. Schufer, “Evaluación de la inestabilidad laboral como estresor psicosocial en el trabajo,” Anuario de Investigaciones, vol. 15, 2008, http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1851-16862008000100029&lng=es&nrm=iso. View at Google Scholar
  2. H. Iridiastadi and M. A. Nussbaum, “Muscular fatigue and endurance during intermittent static efforts: effects of contraction level, duty cycle, and cycle time,” Human Factors, vol. 48, no. 4, pp. 710–720, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. P. Meza and A. Ramírez, Investigación sobre la determinación de fatiga física en trabajadoras de la industria textil del norte de Sinaloa [Ph.D. thesis], Instituto Tecnológico de los Mochis, 2004.
  4. S. Steven, M. Lawrence, H. Joseph, L. Lennart, and J. Mager-Stellman, “Factores psicosociales y de organización,” in Enciclopedia de salud y seguridad en el trabajo, p. 34, Ministerio de Trabajo y Asuntos Sociales, Madrid, Spain, 1998. View at Google Scholar
  5. N. Krause, R. J. Brand, G. A. Kaplan et al., “Occupational physical activity, energy expenditure and 11-year progression of carotid atherosclerosis,” Scandinavian Journal of Work, Environment and Health, vol. 33, no. 6, pp. 405–424, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. J. A. Ricci, E. Chee, A. L. Lorandeau, and J. Berger, “Fatigue in the U.S. workforce: prevalence and implications for lost productive work time,” Journal of Occupational and Environmental Medicine, vol. 49, no. 1, pp. 1–10, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Ghosh and R. J. Gagnon, “Comprehensive literature review and analysis of the design, balancing and scheduling of assembly systems,” International Journal of Production Research, vol. 27, no. 4, pp. 637–670, 1989. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Scholl and C. Becker, “State-of-the-art exact and heuristic solution procedures for simple assembly line balancing,” European Journal of Operational Research, vol. 168, no. 3, pp. 666–693, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. N. Fallentin, E. Vikari-Juntura, M. Waersted, and A. Kilbom, “Evaluation of physical workload standards and guideline from a nodic perspective,” Scandinavian Journal of Work, Environment & Health, vol. 27, supplement 2, pp. 1–52, 2001. View at Google Scholar
  10. B. Bink, “The physical working capacity in relation to working time and age,” Ergonomics, vol. 5, no. 1, pp. 25–28, 1962. View at Publisher · View at Google Scholar
  11. M. Ayoub and A. Mital, Manual Materials Handling, Taylor & Francis, London, UK, 1989.
  12. M. Groover, Work Systems and the Methods, Measurement, and Managment of Work, Pearson Prentice Hall, Upper Saddle River, NJ, USA, 1st edition, 2007.
  13. Firstbeat Technologies, An Energy Expenditure Estimation Method Based on Heart Rate Measurement, Firstbeat Technologies, Jyväskylä, Finland, 2012.
  14. M. Weippert, M. Kumar, S. Kreuzfeld, D. Arndt, A. Rieger, and R. Stoll, “Comparison of three mobile devices for measuring R-R intervals and heart rate variability: polar S810i, Suunto t6 and an ambulatory ECG system,” European Journal of Applied Physiology, vol. 109, no. 4, pp. 779–786, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. P. G. Montgomery, D. J. Green, N. Etxebarria, D. B. Pyne, P. U. Saunders, and C. L. Minahan, “Validation of heart rate monitor-based predictions of oxygen uptake and energy expenditure,” Journal of Strength and Conditioning Research, vol. 23, no. 5, pp. 1489–1495, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. C. Balderrama, G. Ibarra, J. De La Riva, and S. López, “Evaluation of three methodologies to estimate the VO2max in people of different ages,” Applied Ergonomics, vol. 42, no. 1, pp. 162–168, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. F. Farrer, G. Minaya, J. Niño, and M. Ruiz, Manual de Ergonomía, Fundación MAPFRE, 2nd edition, 1997.
  18. J. Ilmarinen, “Physical requirements associated with the work of aging workers in the European Union,” Experimental Aging Research, vol. 28, no. 1, pp. 7–10, 2002. View at Publisher · View at Google Scholar · View at Scopus
  19. P.-O. Astrand, “Human physical fitness with special reference to sex and age,” in International Research in Sports and Physical Education, pp. 517–558, Charles C. Thomas, Springfield, Ill, USA, 1964. View at Google Scholar
  20. K. Jörgersen, “Permissible loads based on energy expenditure measurements,” Ergonomics, vol. 28, no. 1, pp. 365–369, 1985. View at Publisher · View at Google Scholar · View at Scopus