Skip to main content

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 591))

Abstract

Even though the advancement of technology has a great influence on the production and logistics system (PLS), companies are more dependent on manual human work because of their cognitive ability and flexibility. Inversely, many decision support models in PLS have neglected the characteristics of human workers which could degrade their working conditions. Therefore, this paper would assist the managers in a production and logistics system to evaluate the current workload on their workers. This study would suggest different tools for evaluating the human factor aspects of operations management. Initially, the paper introduces the three aspects of human factors such as physical, mental and psychosocial. Thereafter, tools for evaluating these aspects are presented. The tools are NMQ, NASA TLX, SWAT, and JCQ. Then, this paper summarizes the contribution of tools towards the production and logistics system by classifying it into three segments such as process, system settings, and technology.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Grosse, E.H., Calzavara, M., Glock, C.H., Sgarbossa, F.: Incorporating human factors into decision support models for production and logistics: current state of research. IFAC PapersOnLine 50(1), 6900–6905 (2017)

    Article  Google Scholar 

  2. Neumann, W.P., Dul, J.: Human factors: spanning the gap between OM and HRM. Int. J. Oper. Prod. Manag. 30(9), 923–950 (2010)

    Article  Google Scholar 

  3. Sgarbossa, F., Grosse, E.H., Neumann, W.P., Battini, D.: Human factors in production and logistics systems of the future. Annu. Rev. Control 49, 295–305 (2020)

    Article  Google Scholar 

  4. Snyder, H.: Literature review as a research methodology: an overview and guidelines. J. Bus. Res. 104, 333–339 (2019)

    Article  Google Scholar 

  5. Brolin, A., Thorvald, P., Case, K.: Experimental study of cognitive aspects affecting human performance in manual assembly. Prod. Manuf. Res. 5(1), 141–163 (2017)

    Google Scholar 

  6. Lim, J.T., Hoffmann, E.R.: Strategies in performing a manual assembly task. Int. J. Ind. Ergon. 50, 121–129 (2015)

    Article  Google Scholar 

  7. Rose, L.M., Neumann, W.P., Hägg, G.M., Kenttä, G.: Fatigue and recovery during and after static loading. Ergonomics 57(11), 1696–1710 (2014)

    Article  Google Scholar 

  8. de Jonge, J., Bosma, H., Peter, R., Siegrist, J.: Job strain, effortreward imbalance and employee well-being: a large-scale cross-sectional sudy. Soc. Sci. Med. 50, 1317–1327 (2000)

    Article  Google Scholar 

  9. Demerouti, E.: Job characteristics, flow, and performance: the moderating role of conscientiousness. J. Occup. Health Psychol. 11, 266–280 (2006)

    Article  Google Scholar 

  10. Malchaire, J., Roquelaure, Y., Cock, N., Piette, A., Vergracht, S., Chiron, H.: Musculoskeletal complaints, functional capacity, personality and psychosocial factors. Int. Arch. Occup. Environ. Health 74(8), 549–557 (2001). https://doi.org/10.1007/s004200100264

    Article  Google Scholar 

  11. Offenbächer, M., Ewert, T., Sangha, O., Stucki, G.: Validation of a German version of the’Disabilities of Arm, Shoulder and Hand ‘questionnaire (DASH-G). Zeitschrift für Rheumatologie 62(2), 168–177 (2003)

    Article  Google Scholar 

  12. Kuorinka, I., et al.: Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl. Ergon. 18, 233–237 (1987)

    Article  Google Scholar 

  13. Rubio, S., Diaz, E., Martin, J., Puente, J.M.: Evaluation of subjective mental workload: a comparison of SWAT, NASA-TLX, and workload profile methods. Int. Assoc. Appl. Psychol. 53, 61–86 (2004)

    Article  Google Scholar 

  14. Karasek, R.A.: The new work organization, conductive production and work quality policy. In: Labor Market Changes and Job Insecurity: A Challenge for Social Welfare and Health Promotion, pp. 78–105 (1998)

    Google Scholar 

  15. Dickinson, C.E., Foster, A.F., Newman, S.J., O’rourke, A.M., Thomas, P.G.: Questionnaire development: an examination of the nordic musculoskeletal questionnaire. Appl. Ergon. 23(3), 197–201 (1992)

    Google Scholar 

  16. Hart, S., Staveland, L.: Development of NASA-TLX (Task LoadIndex): results of empirical and theoretical research. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload, pp. 139–183 (1988)

    Google Scholar 

  17. Hart, S.G.: NASA Task load Index (TLX). Volume 1.0; Paper and pencil package (1986)

    Google Scholar 

  18. Reid, G., Nygren, T.: The subjective workload assessment technique: a scaling procedure for measuring mental workload. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload, pp. 185–218 (1988)

    Google Scholar 

  19. Karasek, R., Brisson, C., Kawakami, N., Houtman, I., Bongers, P., Amick, B.: The job content questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J. Occup. Health Psychol. 3, 322 (1998)

    Article  Google Scholar 

  20. Neumann, W.P., Village, J.: Ergonomics action research II: a framework supporting the integration of HF into work system design. Ergonomics 55, 1140–1156 (2012)

    Article  Google Scholar 

  21. Battini, D., Faccio, M., Persona, A., Sgarbossa, F.: New methodological framework to improve productivity and ergonomics in assembly system design. Int. J. Ind. Ergon. 41, 30–42 (2011)

    Article  Google Scholar 

  22. Calzavara, M., Glock, C.H., Grosse, E.H., Persona, A., Sgarbossa, F.: Analysis of economic and ergonomic performance measures of different rack. Comput. Ind. Eng. 111, 527–536 (2017)

    Article  Google Scholar 

  23. Grosse, E.H., Glock, C.H., Jaber, M.Y., Neumann, W.P.: Incorporating human factors in order picking planning models: framework and research opportunities. Int. J. Prod. Res. 53, 695–717 (2015)

    Google Scholar 

  24. Lee, J.D., Seppelt, B.D.: Human factors in automoation design. In: Springer Handbook of Automation, pp. 417–436 (2009)

    Google Scholar 

  25. Malik, A.A., Bilberg, A.: Complexity-based task allocation in human-robot collaborative assembly. Ind. Robot Int. J. Robot. Res. Appl. 46(4), 471–480 (2019)

    Article  Google Scholar 

  26. Khodakarami, M., Shabani, A., Saen, R.F., Azadi, M.: Developing distinctive two-stage data envelopment analysis models: an application in evaluating the sustainability of supply chain management. Measurement 70, 62–74 (2015)

    Article  Google Scholar 

  27. Seuring, S., Müller, M.: From a literature review to a conceptual framework for sustainable supply chain management. J. Cleaner Prod. 16(15), 1699–1710 (2008)

    Article  Google Scholar 

  28. Leseure, M.: A critical review of the social dimension of sustainability in operations management research. In: Proceedings of the fifth International EUROMA Sustainable Operations and Supply Chain Forum, Kassel, Germany (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vivek Vijayakumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vijayakumar, V., Sgarbossa, F. (2020). Tools for Evaluating Human Factor Aspects in Production and Logistics System. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-030-57993-7_67

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-57993-7_67

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57992-0

  • Online ISBN: 978-3-030-57993-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics