Advertisement

Quality & Quantity

, Volume 51, Issue 1, pp 93–101 | Cite as

Use of the analytic hierarchy process for complex assessment of the work environment

  • Richard HnilicaEmail author
  • Martin Jankovský
  • Miroslav Dado
  • Valéria Messingerová
  • Marián Schwarz
  • Darina Veverková
Article

Abstract

The aim of this paper is to outline possibilities for the use of multiple-criteria decision making methods for complex assessment of the work environment. We focused on quantitative pairwise comparison of criteria, taking basic input parameters from a model of complex risk assessment used in selected forestry activities. The model is based on quantification of risk factors (noise, temperature, vibrations and mental stress), which have the most important effect on health and well-being of forest machines operators. Operators are simultaneously influenced by aforementioned risk factors and mutual interaction of all these risk factors was assessed. Proceeding from taken measurements and following experimental assessment it is possible to state that the result of complex assessment by multiple-criteria method influences significantly the determination of weight coefficient of importance. Higher value of weight coefficient means that certain risk factors have a bigger influence on the result and vice versa, risk factors with a lower value of weight coefficient affect the result less. For this reason it is necessary to approach conscientiously and responsibly the assessment of individual pairs of risk factors in Saaty’s matrix.

Keywords

Analytic hierarchy process AHP Risk factors Work environment Complex assessment Multi-criteria decision process 

References

  1. Andrejiová, M., Piňosová, M., Lumnitzer, E., Moravec, M.: Využitie AHP metódy pri určovaní váh vplyvu faktorov na kvalitu pracovného prostredia. In Fyzikálne faktory prostredia, roč. II, č. mimoriadne, 103–106 (2012), ISSN 1338–3922Google Scholar
  2. Andrejiová, M., Kimáková, Z., Marásová, D.: Using AHP method at the determination of the optimal selection criteria of conveyor belts. In Annals of Faculty Engineering Hunedoara. Int. J. Eng. 11(2), 155–160 (2013), ISSN 1584-2665. http://annals.fih.upt.ro/pdf-full/2013/ANNALS-2013-2-25.pdf
  3. Cavallo, B., Canfora, G., D’Apuzzo, L., Squillante, M.: Reasoning under uncertainty and multi-criteria decision making in data privacy. Qual. Quant. 48, 1957–1972 (2014). doi: 10.1007/s11135-013-9859-8 CrossRefGoogle Scholar
  4. Chou, C.-H., Liang, G.-S., Chang, H.-C.: A fuzzy AHP approach based on the concept of possibility extent. Qual. Quant. 47, 1–14 (2013). doi: 10.1007/s11135-011-9473-6 CrossRefGoogle Scholar
  5. Dado, M.: Deduktívny prístup k posudzovaniu rizík pri práci s neželaným dopadom humánnym. In Bezpečnosť práce. 8(11), 13–16 (2008). ISSN 1335-4078Google Scholar
  6. Fusco Girard, L., Nijkamp, P., Energia, bellezza, partecipazione: la sfida della sostenibilità. Valutazioni integrate tra conservazione e sviluppo, Franco Angeli, Milano (2005)Google Scholar
  7. Hnilica, R.: Development of framework for assessment of combined effects of risk factors. In Acta facultatis technicae : vedecký časopis Fakulty environmentálnej a výrobnej techniky - Zvolen : Technická univerzita vo Zvolene, 16(2), 31–37 (2011). ISSN 1336-4472Google Scholar
  8. Hnilica, R., Dado, M., Messingerová, V, Jankovský, M.: Impact of combined interactions of noise and energy expenditure for work comfort of human. In Acta facultatis technicae: vedecký časopis Fakulty environmentálnej a výrobnej techniky - Zvolen: Technická univerzita vo Zvolene, 2011, 18(1), 47–557 (2013a). ISSN 1336-4472Google Scholar
  9. Hnilica, R., Jankovský, M., Dado, M., Messingerová, V.: Experimental evaluation of combined effects of risk factors in work environment. In Engineering for rural development: 12th international scientific conference. - Jelgava: Latvia University of Agriculture 2013, 577–583 (2013b). ISSN 1691-5976Google Scholar
  10. Hsu, P.-F., Chen, B.-Y.: Developing and implementing a selection model for bedding chain retail store franchisee using Delphi and fuzzy AHP. Qual. Quant. 41, 275–290 (2007). doi: 10.1007/s11135-006-9004-z CrossRefGoogle Scholar
  11. Lee, K.-L., Huang, W.-C., Teng, J.-Y.: Locating the competitive relation of global logistics hub using quantitative SWOT analytical method. Qual. Quant. 43, 87–107 (2009). doi: 10.1007/s11135-007-9087-1 CrossRefGoogle Scholar
  12. Lumnitzer, E., Piňosová, M., Andrejiová, M., Hricová, B.: Methodology of complex health risk assessment in industry 2, p. 326. Zrecin, MUSKA (2013)Google Scholar
  13. Nariadenie vlády Slovenskej republiky č. 115/2006 Z. z., o minimálnych zdravotných a bezpečnostných požiadavkách na ochranu zamestnancov pred rizikami súvisiacimi s expozíciou hluku. (Ordinance of the Government of the Slovak Republic No. 115/2006 Coll. on the minimum health and safety requirements to protect workers from risks related to exposure to noise)Google Scholar
  14. Nariadenie vlády Slovenskej republiky č. 416/2005 o minimálnych zdravotných a bezpečnostných požiadavkách na ochranu zamestnancov pred rizikami súvisiacimi s expozíciou vibráciám. (Ordinance of the Government of the Slovak Republic No. 416/2005 on the minimum health and safety requirements to worker protection from risks related to vibration exposure)Google Scholar
  15. Okur, A., Nasibov, E.N., Kilic, M., Yavuz, M.: Using OWA aggregation technique in QFD a case study in education in a textile engineering department. Qual. Quant. 43, 999–1009 (2009). doi: 10.1007/s11135-008-9170-2 CrossRefGoogle Scholar
  16. Pohekar, S.D., Ramachandran, M.: Application of multi-criteria decision making to sustainable energy planning. Rev. Renew. Sustain. Energy Rev. 8, 365–381 (2004)CrossRefGoogle Scholar
  17. Racioppi, V., Marcarelli, G., Squillante, M.: Modelling a sustainable requalification problem by analytic hierarchy process. Qual. Quant. 49, 1661–1677 (2014). doi: 10.1007/s11135-014-0073-0 CrossRefGoogle Scholar
  18. Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)Google Scholar
  19. Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)Google Scholar
  20. Sablik, J.: Ergonómia. Vydavateľstvo SVŠT, Bratislava: 1990. 213 s (1990). ISBN 80-227-0299-4Google Scholar
  21. Vargas, L.G.: An overview of the analytic hierarchy process and its applications. Eur. J. Oper. Res. 48, 2–8 (1990)Google Scholar
  22. Vestník Ministerstva zdravotníctva Slovenskej republiky, 2001. Odborné usmernenie č. 67, ktorým sa podrobnejšie upravuje postup orgánov na ochranu zdravia a štátnych zdravotných ústavov pri vyhlasovaní rizikových prác z hľadiska psychickej záťaže. Journal of the Ministry of Health of the Slovak Republic, 2001. Guideline No. 67, which regulates in detail procedures of bodies for health protection and of state health institutes for declaration of risk works from the viewpoint of mental stressGoogle Scholar
  23. Vyhláška Ministerstva zdravotníctva Slovenskej republiky č. 542/2007 Z. z. o podrobnostiach o ochrane zdravia pred fyzickou záťažou pri práci, psychickou pracovnou záťažou a senzorickou záťažou pri práci. (Decree of the Ministry of Health of the Slovak Republic No. 542/2007 Coll. on details of occupational health protection against physical stress, mental stress and sensory stress)Google Scholar
  24. Vyhláška Ministerstva zdravotníctva Slovenskej republiky č. 544/2007 Z. z. o podrobnostiach o ochrane zdravia pred záťažou teplom a chladom pri práci. (Decree of the Ministry of Health of the Slovak Republic No. 544/2007 Coll. on details of health protection when working under stress due to heat or cold)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Richard Hnilica
    • 1
    Email author
  • Martin Jankovský
    • 2
  • Miroslav Dado
    • 1
  • Valéria Messingerová
    • 2
  • Marián Schwarz
    • 3
  • Darina Veverková
    • 4
  1. 1.Department of Production Engineering and Quality Management, Faculty of Environmental and Manufacturing TechnologyTechnical University in ZvolenZvolenSlovak Republic
  2. 2.Department of Forest Harvesting, Logistics and Ameliorations, Faculty of ForestryTechnical University in ZvolenZvolenSlovak Republic
  3. 3.Department of Applied Ecology, Faculty of Environmental and Manufacturing TechnologyTechnical University in ZvolenZvolenSlovak Republic
  4. 4.The Institute of Foreign LanguagesTechnical University in ZvolenZvolenSlovak Republic

Personalised recommendations