Abstract
Safety conformity is an industrial practice to obtain enhanced safety performance and improved worker-management-government relationships. In this paper, a novel method to model and predict the conformity of bottling process operations and activities to safety rules and accident prevention is presented. Inspired by the machine guarding literature in safety compliance, this research extends the regression model beyond the machine operations domain, to cover activities in beverage testing unit (BTU), shuttle vehicle flotilla (SVF), stockroom, and suppliers. Data from practice in a bottling plant in Nigeria demonstrates the model's effectiveness. The coefficients of determination (R2 = 0.8454, 0.3891, 0.8156, 1 and 0.8156), showed the predictive competence of the warehousing, manufacturing hallway (MH), BTU, SVF, and suppliers' variables, respectively. These R2 values were derived from computations and tabulated by the software program used, and BTU and suppliers' values for R2 were obtained as the same from the program software. The relative importance of the bottling segmental factors was evaluated through ANOVA. The bottling process data results revealed the most significant variables at (p<0.05; calculated probability). This insight offers safety managers with useful practice information to plan and control.
Highlights
Scholars in recent times have paid growing attention to the analysis of accidents and their prevention (Luken et al, 2006; Kletz, 2009; Prem et al, 2010; Kidain et al, 2014). Their findings have revealed that workers in general exhibit many manipulative attempts to dislocate devices for protecting machines (for instance, effort to disable or by-pass adequate machine guards or even dismantle them (Anderson et al, 2010; Maghsoudipourand Sarfaraz, 2011; Samant et al, 2012a,b; Kica and Rosenman, 2017; Jeon et al, 2019)
From the preliminary literature survey, it became evident that the literature concerning manipulative attempts by workers to displace or dismantle equipment protective devices has suffered substantial setbacks
There appears to be no useful and dependable statistics relating to the magnitude of the challenge of equipment, device or guard manipulations in organisations
Summary
Scholars in recent times have paid growing attention to the analysis of accidents and their prevention (Luken et al, 2006; Kletz, 2009; Prem et al, 2010; Kidain et al, 2014). Their findings have revealed that workers in general exhibit many manipulative attempts to dislocate devices for protecting machines (for instance, effort to disable or by-pass adequate machine guards or even dismantle them (Anderson et al, 2010; Maghsoudipourand Sarfaraz, 2011; Samant et al, 2012a,b; Kica and Rosenman, 2017; Jeon et al, 2019). There appears to be no useful and dependable statistics relating to the magnitude of the challenge of equipment, device or guard manipulations in organisations. The restricted view of the literature limiting safety conformity to the evaluation machine guard usage should be broadened
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