Analytical Hierarchy Process-Based Methodology for Selection of Safety Parameters in Manufacturing Industry

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Advances in Safety Management and Human Factors

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 491))

Abstract

This study uses the analytical hierarchy process (AHP) to quantify important safety parameters and to analyse the weight scores of main and sub parameters. Questionnaires have been developed for collecting the expert feedback. Based on the analysis of expert’s choice and consistency test, this study identified the weight scores of nine main and forty sub-factors. The purpose of this study is to prioritise the safety parameters of manufacturing industries regarding worker’s safety according to the expert’s choice. Six experts are taken from manufacturing industry background. The results of this study shows that personal protective equipment (PPE) has the first priority with highest weightage i.e. 30.6 % and workplace layout and housekee** at last with 2.5 % weightage. The entire main and sub-factors have consistency ratio less than 10 % which is acceptable. It is recommended that PPE should be provided to the workers in manufacturing industries for safe work environment.

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Correspondence to Satnam Singh .

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Singh, S., Singh, L.P., Kaur, M. (2016). Analytical Hierarchy Process-Based Methodology for Selection of Safety Parameters in Manufacturing Industry. In: Arezes, P. (eds) Advances in Safety Management and Human Factors. Advances in Intelligent Systems and Computing, vol 491. Springer, Cham. https://doi.org/10.1007/978-3-319-41929-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-41929-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41928-2

  • Online ISBN: 978-3-319-41929-9

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