MODELS TO PREDICT AND OPTIMIZE MACHINE GUARD OPERATOR’S COMPLIANCE ACTIVITIES IN A BOTTLING PROCESS PLANT

UZOR, CHUKWUNEDUM and Covenant University, Theses (2018) MODELS TO PREDICT AND OPTIMIZE MACHINE GUARD OPERATOR’S COMPLIANCE ACTIVITIES IN A BOTTLING PROCESS PLANT. Masters thesis, COVENANT UNIVERSITY.

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Abstract

Varying from the notion that the significant attention focused on machine guarding has little or no benefit to zero safety realization in work places, this paper through an innovated model, argues that machine guarding prediction and productivity could be evaluated for progress by optimization practices in a bottling company. This study contributes to knowledge by developing a machine guard usage compliance (MGUC) model termed integrated multiple regression and Taguchi methodical method. and secondly, an innovative framework rooted in the American Productivity Center model labelled the variant machine guard productivity evaluation model (VMGPEM) and in addition applying the one factor at a time (OFAT) sensitivity analysis technique for depicting critical parameters for further optimization. Nonetheless, no studies account for operator’s compliance usage of machine guards in workplaces except this work. Field observed data obtained from a bottling process plant operating in Nigeria illustrates the effectiveness of the proposed model. Results revealed models’ effectiveness in predicting and optimizing operator’s compliance index. The work provides safety managers with snapshot information for planning and control purposes.

Item Type:	Thesis (Masters)
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	28 Jul 2020 17:07
Last Modified:	28 Jul 2020 17:07
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/13504

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