Skip to main content
SpringerLink
Log in

Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach

  • Conference paper
  • First Online:
Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Communication, Organization and Work (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12199))

Included in the following conference series:

Abstract

The electric sector is fundamental for the economic and social development of society, impacting on essential aspects such as health, education, employment generation, industrial production, and the provision of various services. In addition to the above, the growing trend in energy consumption worldwide could increase, according to expert estimates, up to 40% by 2030, which in turn increases the efforts of the public and private sector to meet increasing demands and increase access to energy services under requirements of reliability and quality. However, the electricity sector presents challenges and complexities, one of which is the reduction of health and safety risks for workers, service users, and other stakeholders. In many countries, this sector is classified as high risk in occupational safety and health, due to its complexity and the impact of accidents and occupational diseases on the health of workers, in infrastructure, in operating costs and competitiveness of the energy sector. Worldwide, there are rigorous regulations for the electricity sector, from local and national government regulations to international standards to guarantee health and safety conditions. However, it is necessary to develop objective and comprehensive methodologies for evaluating occupational safety and health performance that provides solutions for the electricity sector, not only to comply with standards and regulations also as a continuous improvement tool that supports the decision-making processes given the complexity of the industry and the multiple criteria that are taken into account when evaluating and establishing improvement strategies. In scientific literature, different studies focus on the analysis of accident statistics, the factors that affect accidents and occupational diseases, and the risk assessment of the sector. Despite these considerations, studies that focus directly on the development of hybrid methodologies for the evaluation and improvement of performance in occupational safety and health in the electrical sector, under multiple criteria and uncertainty are mostly limited. Therefore, this document presents an integrated methodology for improving the performance in occupational health and safety in the electric sector through the application of two techniques of Multi-criteria Decision Methods (MCDM) uses in environments under uncertainly. First, the fuzzy Analytic Hierarchy Process (FAHP) is applied to estimate the initial relative weights of criteria and sub-criteria. The fuzzy set theory is incorporated to represent the uncertainty of decision-makers’ preferences. Then, the Decision-making Trial and Evaluation Laboratory (DEMATEL) used for evaluating the interrelations and feedback among criteria and sub-criteria. FAHP and DEMATEL are later combined for calculating the final criteria and sub-criteria weights under vagueness and interdependence. Subsequently, we applied the proposed methodology in a company of the energy sector for diagnosis of performance in OHS to establish improvement proposals, the work path, and implementation costs. Finally, we evaluate the impact of the strategies applied in the improvement of the performance of the company.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. The World Bank, “Understanding Poverty: Energy Overview”. https://www.worldbank.org/en/topic/energy/overview

  2. El País, “El mundo consumirá un 30% más de energía en 2040 y se aleja de cumplir el Acuerdo de París. https://elpais.com/economia/2017/11/14/actualidad/1510661591_352717.html

  3. Castillo, J., Suárez, M., Rubio, J., Aguado, J.: Personal factors and consequences of electrical occupational accidents in the primary, secondary and tertiary sectors. Saf. Sci. 91, 286–297 (2017)

    Google Scholar 

  4. Cawley, J.C., Homce, G.T.: Occupational electrical injuries in the United States, 1992–1998, and recommendations for safety research. J. Saf. Res. 34, 241–248 (2003)

    Google Scholar 

  5. McCann, M., Hunting, L.K., Murawski, J., Chowdhury, R., Welch, L.: Causes of electrical deaths and injuries among construction workers. Am. J. Ind. Med. 43, 398–406 (2003)

    Google Scholar 

  6. Janicak, C.A.: Occupational fatalities due to electrocutions in the construction industry. J. Saf. Res. 39, 617–621 (2008)

    Google Scholar 

  7. Chi, C.F., Lin, Y.Y., Ikhwan, M.: Flow diagram analysis of electrical fatalities in construction industry. Saf. Sci. 50(5), 1205–1214 (2012)

    Google Scholar 

  8. Kotzé, M., Steyn, L.: The role of psychological factors in workplace safety. Ergonomics 56(12), 1928–1939 (2013)

    Google Scholar 

  9. Organización Internacional del Trabajo OIT. La seguridad en cifras: Sugerencias para una cultura general en materia de seguridad en el trabajo. Ginebra (2003). ISBN 92-2-313741-1. http://www.ilo.org/public/english/standards/relm/ilc/ilc90/pdf/rep-vi.pdf

  10. Jimenez, G., Novoa, L., Ramos, L., Martinez, J., Alvarino, C.: Diagnosis of initial conditions for the implementation of the integrated management system in the companies of the land cargo transportation in the City of Barranquilla (Colombia). In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 282–289. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_39

  11. Jimenez, G., Zapata, E.: Metodología integrada para el control estratégico y la mejora continua, basada en el Balanced Scorecard y el Sistema de Gestión de Calidad: aplicación en una organización de servicios en Colombia. In: 51a Asamblea Anual del Consejo Latinoamericano de Escuelas de Administración CLADEA 2016, Medellín, Colombia, pp. 1–20 (2016)

    Google Scholar 

  12. Jimenez, G., Hernandez, L., Hernandez, H., Cabas, L., Ferreira, J.: Evaluation of quality management for strategic decision making in companies in the plastic sector of the Colombian Caribbean Region using the TQM diagnostic report and data analysis. In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 273–281. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_38

  13. Jimenez, G.: Procedimientos para el mejoramiento de la calidad y la implantación de la Norma ISO 9001 aplicado al proceso de asesoramiento del Centro de Investigaciones y Desarrollo Empresarial y Regional en una Institucion de Educación Superior basados en la gestión por procesos. In: Congreso de Gestión de la Calidad y Protección Ambiental, GECPA 2014, Habana, Cuba, pp. 1–22 (2014)

    Google Scholar 

  14. Marhavilas, P.K., Koulouriotis, D.E., Spartalis, S.H.: Harmonic analysis of occupational-accident time-series as a part of the quantified risk evaluation in worksites: application on electric power industry and construction sector. Reliab. Eng. Syst. Saf. 112, 8–25 (2013)

    Google Scholar 

  15. Rahmani, A., Khadem, M., Madreseh, E., Aghaei, H., Raei, M., Karchani, M.: Descriptive study of occupational accidents and their causes among electricity distribution company workers at an eight-year period in Iran. Saf. Health Work 4(3), 160–165 (2013)

    Google Scholar 

  16. Acakpovi, A., Dzamikumah, L.: An investigation of health and safety measures in a hydroelectric power plant. Saf. Health Work 7(4), 331–339 (2016)

    Google Scholar 

  17. Bakhiyi, B., Labrèche, F., Zayed, J.: The photovoltaic industry on the path to a sustainable future — environmental and occupational health issues. Environ. Int. 73, 224–234 (2014)

    Google Scholar 

  18. Marhavilas, P.K., Koulouriotis, D.E., Mitrakas, C.: On the development of a new hybrid risk assessment process using occupational accidents’ data: application on the Greek Public Electric Power Provider. J. Loss Prevent. Process Ind. 24(5), 671–687 (2011)

    Google Scholar 

  19. Jimenez-Delgado, G., Balmaceda-Castro, N., Hernández-Palma, H., de la Hoz-Franco, E., García-Guiliany, J., Martinez-Ventura, J.: An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation. In: Duffy, V. (ed.) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion. HCII 2019. LNCS, vol. 11581, pp. 433–457. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22216-1_32

  20. Gul, M.: A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions. Hum. Ecol. Risk Assess.: Int. J. (2018). https://doi.org/10.1080/10807039.2018.1424531

  21. Inan, U., Gül, S., Yılmaz, H.: A multiple attribute decision model to compare the firms’ occupational health and safety management perspectives. Saf. Sci. 91(106), 221–231 (2017). https://doi.org/10.1016/j.ssci.2016.08.018

    Article  Google Scholar 

  22. ISO 45001. Occupational Health and Safety Management Systems (2018)

    Google Scholar 

  23. Adema, A., Çolak, A., Dağdeviren, M.: An integrated model using SWOT analysis and Hesitant fuzzy linguistic term set for evaluation occupational safety risks in life cycle of wind turbine. Saf. Sci. 106, 184–190 (2018)

    Google Scholar 

  24. Efe, B., Kurt, M., Efe, F.: An integrated intuitionistic fuzzy set and mathematical programming approach for an occupational health and safety policy. J. Sci. 30(2), 73–95 (2017)

    Google Scholar 

  25. Badria, A., Nadeaua, S., Gbodossoub, A.: Proposal of a risk-factor-based analytical approach for integrating occupational health and safety into project risk evaluation. Accid. Anal. Prevent. 48, 223–234 (2012)

    Google Scholar 

  26. Jiangdong, B., Johansson, J., Zhang, J.: Comprehensive evaluation on employee satisfaction of mine occupational health and safety management system based on improved AHP and 2-tuple linguistic information. Sustainability 2(133), 1–14 (2017)

    Google Scholar 

  27. Sadoughi, S., Yarahmadi, R., Taghdisi, M., Mehrabi, Y.: Evaluating and prioritizing of performance indicators of health, safety, and environment using fuzzy TOPSIS. Afr. J. Bus. Manag. 6(5), 2026–2033 (2012)

    Google Scholar 

  28. Gul, M., Ak, M.: A comparative outline for quantifying risk ratings in occupational health and safety risk assessment. J. Clean. Prod. 196(20), 653–664 (2018)

    Google Scholar 

  29. Hatami-Marbini, A., Tavana, M., Moradi, M., Kangi, F.: A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities. Saf. Sci. 51, 414–426 (2013)

    Google Scholar 

  30. Ilbahara, E., Ali Karaşanb, A., Selcuk Cebia, S., Kahraman, C.: A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Saf. Sci. 103, 124–136 (2018)

    Google Scholar 

  31. Koulinas, G., Marhavilas, P., Demesouka, O., Vavatsikos, A., Koulouriotis, D.: Risk analysis and assessment in the work sites using the fuzzy-analytical hierarchy process and a quantitative technique–a case study for the Greek construction sector. Saf. Sci. 112, 96–104 (2019)

    Google Scholar 

  32. Sukran Seker, S., Zavadskas, E.: Application of fuzzy DEMATEL method for analyzing occupational risks on construction sites. Sustainability 9(11), 2083, 1–19 (2017)

    Google Scholar 

  33. Basahel, A., Taylan, O.: Using fuzzy AHP and fuzzy TOPSIS approaches for assessing safety conditions at worksites in construction industry. Int. J. Saf. Secur. Eng. 6(4), 728–745 (2016)

    Google Scholar 

  34. Zheng, G., Zhu, N., Tian, Z., Chen, Y., Sun, B.: Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Saf. Sci. 50, 228–239 (2012)

    Google Scholar 

  35. Ortiz-Barrios, M., Herrera-Fontalvo, Z., Rúa-Muñoz, J., Ojeda-Gutiérrez, S., De Felice, F., Petrillo, A.: An integrated approach to evaluate the risk of adverse events in hospital sector: from theory to practice. Manag. Decis. (2018). https://doi.org/10.1108/MD-09-2017-0917

    Article  Google Scholar 

  36. Maleki, H., Zahir, S.: A comprehensive literature review of the rank reversal phenomenon in the analytic hierarchy process. J. Multi-Criteria Decis. Anal. 20(3/4), 141–155 (2013)

    Google Scholar 

  37. Velasquez, M., Hester, P.T.: An analysis of multi-criteria decision-making methods. Int. J. Oper. Res. 10(2), 56–66 (2013)

    MathSciNet  Google Scholar 

  38. Ortiz-Barrios, M.A., Kucukaltan, B., Carvajal-Tinoco, D., Neira-Rodado, D., Jiménez, G.: Strategic hybrid approach for selecting suppliers of high-density polyethylene. J. Multi-Crit. Decis. Anal. 24, 1–21 (2017). https://doi.org/10.1002/mcda.1617

    Article  Google Scholar 

  39. Hernandez, L., Jimenez, G.: Characterization of the current conditions of the ITSA data centers according to standards of the green data centers friendly to the environment. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds.) CSOC 2017. AISC, vol. 574, pp. 329–340. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57264-2_34

    Chapter  Google Scholar 

  40. Demirel, T., Demirel, N., Kahraman, C.: Fuzzy analytic hierarchy process and its application. In: Kahraman, C. (ed.) Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments. Springer Optimization and its Applications, vol. 16, pp. 53–83. Springer, Boston (2008). https://doi.org/10.1007/978-0-387-76813-7_3

  41. Kusumawardani, R., Agintiara, M.: Application of fuzzy AHP-TOPSIS method for decision making in human resource manager selection process. Procedia Comput. Sci. 72, 638–646 (2015)

    Google Scholar 

  42. Vahidnia, M.H., Alesheikh, A.A., Alimohammadi, A.: Hospital site selection using fuzzy AHP and its derivatives. J. Environ. Manag. 90(10), 3048–3056 (2009)

    Google Scholar 

  43. Shieh, J.I., Wu, H.H., Huang, K.K.: A DEMATEL method in identifying key success factors of hospital service quality. Knowl.-Based Syst. 23(3), 277–282 (2010)

    Google Scholar 

  44. Su, C.M., Horng, D.J., Tseng, M.L., Chiu, A.S., Wu, K.J., Chen, H.P.: Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. J. Cleaner Prod. 134, 469–481 (2016)

    Google Scholar 

  45. Barrios, M.A.O., De Felice, F., Negrete, K.P., Romero, B.A., Arenas, A.Y., Petrillo, A.: An AHP-TOPSIS integrated model for selecting the most appropriate tomography equipment. Int. J. Inf. Technol. Decis. Making 15(4), 861–885 (2016)

    Google Scholar 

  46. Wei, P.L., Huang, J.H., Tzeng, G.H., Wu, S.I.: Causal modeling of web-advertising effects by improving SEM based on DEMATEL technique. Int. J. Inf. Technol. Decis. Making 9(05), 799–829 (2010)

    MATH  Google Scholar 

  47. Ministerio del Trabajo: Decreto 1072 de 2015. Por medio del cual se expide el expide el Decreto único reglamentario del sector trabajo, 26 May 2015. http://www.mintrabajo.gov.co/documents/20147/0/DUR+Sector+Trabajo+Actualizado+a+15+de+abril++de+2016.pdf/a32b1dcf-7a4e-8a37-ac16-c121928719c8

  48. Ministerio del Trabajo. Resolución 0312 de 2019. Por la cual se definen los estándares mínimos del Sistema de Gestión de la Seguridad y Salud en el Trabajo SG-SST, 13 February 2019. http://www.mintrabajo.gov.co/documents/20147/0/DUR+Sector+Trabajo+Actualizado+a+15+de+abril++de+2016.pdf/a32b1dcf-7a4e-8a37-ac16-c121928719c8

Download references

Acknowledgments

The authors would like to thank the support of the SEINER S.A.S. Company and the Institucion Universitaria ITSA.

Author information

Authors and Affiliations

  1. Department of Engineering in Industrial Processes, Engineering Faculty, Institucion Universitaria ITSA, Soledad, Atlántico, Colombia

    Genett Jimenez-Delgado, Lina Fontalvo-Molina & Miguel Ruiz-Muñoz

  2. Faculty of Human and Social Sciences, Universidad de la Costa CUC, Barranquilla, Colombia

    Alexa Senior-Naveda & Freddy Marín-Gonzalez

  3. Faculty of Administration and Business, Universidad Simón Bolívar, Barranquilla, Colombia

    Jesus García-Guiliany

  4. Economic Sciences Faculty, Program, Corporación Universitaria Latinoamericana CUL, Barranquilla, Colombia

    Hugo Hernández-Palma

  5. Department of Business Administration and Marketing, Universidad Tecnologica del Retoño, Aguascalientes, Mexico

    Bertha Santos-Hernandez

Authors
  1. Genett Jimenez-Delgado
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alexa Senior-Naveda
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Freddy Marín-Gonzalez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jesus García-Guiliany
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lina Fontalvo-Molina
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Miguel Ruiz-Muñoz
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Hugo Hernández-Palma
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Bertha Santos-Hernandez
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Genett Jimenez-Delgado .

Editor information

Editors and Affiliations

  1. Purdue University, West Lafayette, IN, USA

    Vincent G. Duffy

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jimenez-Delgado, G. et al. (2020). Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Communication, Organization and Work. HCII 2020. Lecture Notes in Computer Science(), vol 12199. Springer, Cham. https://doi.org/10.1007/978-3-030-49907-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-49907-5_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49906-8

  • Online ISBN: 978-3-030-49907-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation