Postural Analysis Through RULA, REBA And QEC Of Vendors Selling Edible Items At Railway Stations And In The Trains
Iqbal Ahmed Khan1, Rupak Kumar Deb2
1Iqbal Ahmed Khan, Department of Mechanical Engineering, Lingaya ‘s Vidyapeeth, Faridabad, Haryana, India.
1Rupak Kumar Deb, Department of Mechanical Engineering, Lingaya’s Vidyapeeth, Faridabad, Haryana, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 7269-7277 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9878109119/2019©BEIESP | DOI: 10.35940/ijeat.A9878.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An ergonomic study is conducted on postural analysis of the vendors selling edible items at various railway stations and in trains in Northern India. It has been observed that they attain a definite posture infinite number of times to perform a particular task for whole life. It depends upon the number of passengers whom they interact for selling edible products in the trains and at the railway stations. It has been observed that about 20-25 vendors are working at one railway station and +7000 railway stations in Indian railway network therefore at national level these are large in numbers. The RULA and REBA analysis are performed on the eight different vendors who were selling various types of eatable products at the railway stations and in the trains. The results of RULA analysis score is 100% score (7-high risk) was obtained for each vendor which indicates that there is a very high risk and further investigation is required on their working postures and implement change soon. On the other hand REBA analysis showed that 50% score (5- has medium risk, further investigate and change soon and remaining 50% score (8-9), pointed out that these postures have high risk, further investigate and implement change. The average of REBA score of all 8 vendors is 6.75 which showed that the working postures have high risk, further investigate and implement change soon. Further, QEC analysis also revealed that there is a high risk as per the assessment scores. Almost every vendor‘s shoulder score lies (31-40) which means high risk, also back score, wrist score and neck score showed high risk in QEC assessment scores. On the basis of results and succeeding discussions conclusions has been drawn.
Keywords: WMSDs .RULA .REBA . QEC.