Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method

Working in hot and humid environments can jeopardize the health and safety of the workers and reduce their efficiency. Different physical, environmental, and human factors can influence the risk level of working in these atmospheres. Therefore, the risk assessment of such atmospheres must be carried out from a holistic point of view. This paper aims to introduce a novel risk assessment and prioritization model, using hybrid AHP and VIKOR methods in a fuzzy environment. The AHP method was adopted to determine the importance (weight) of the risk influencing parameters. Also, the VIKOR as a compromise solution method was applied to rank the different working stations against the risk criteria. Fuzzy set theory was used to handle the inherent ambiguity and vagueness of the data encountered in the evaluation process. Furthermore, the fuzzy TOPSIS was adopted to further represent the efficacy of the proposed model. To demonstrate the applicability of the model, a small size foundry shop was selected as the real case and a sensitivity analysis was performed to confirm the validity of the model. The results revealed that the Environment has the most contribution to the risk level of hot environments (W-E = 0.615). That is followed by Temperature (W-DBT = 0.268), Air velocity (W-AV = 0.170), Safety training (W-ST = 0.161), Mean radiant intensity (W-MRT = 0.110), Humidity (W-H = 0.066), Seniority structure (W-SS = 0.063), Work intensity (W-WI = 0.058), PPE (W-PPE = 0.047), Work nature (W-PPE = 0.034), and Work duration (W-T = 0.022), in sub-factors. Using the F-VIKOR method, the melting furnace workstation was determined as the compromise solution with the index value of Q = 1.

Automated summary

This paper introduces a novel risk assessment and prioritization model, using hybrid AHP and VIKOR methods in a fuzzy environment. By ranking different working stations, the importance of risk assessment parameters and the contribution to the risk level were determined.