
Best Practices in Conveyor Safety Training: A Qualitative Study of Certified Safety Professionals in Industrial Settings
Abstract
This qualitative study examined best practices for safety training and education in industrial environments, with a specific focus on conveyor systems. Five certified safety professionals (CSPs) who managed facilities with conveyors in Iowa were selected. Each CSP brought diverse educational and safety backgrounds, representing various industries and safety perspectives, with industry experience ranging from 13 to 32 years. Data were collected through semi-structured interviews with each of the five CSPs. Transcripts were thematically evaluated using NVivo (NVivo, 1994) and a Grounded Theory approach (Bernard, Wutich, & Ryan, 2016). The key themes in this study revealed the importance of integrating industry safety standards with classroom instruction, hands-on training, online learning modules, and learning management systems (LMS). Common education and training materials included PowerPoint slides, quizzes, and job safety analyses (JSAs), which covered the frequency of new hire and annual training. Validation methods for training ranged from quizzes to management observation and behavior-based safety programs. Despite structured training, several participants expressed concerns about its effectiveness and stressed the importance of instructor-led sessions and job-related site-specific materials. Recommendations to achieve best practices included developing expertise with conveyors within their organizations, conducting site-specific training to address hazards, and promoting active engagement from frontline workers through observations and employee feedback. This study found that all participants had established training practices and procedures; however, there were still opportunities to increase training customization and incorporate technology. Additionally, participants highlighted the significance of behavior-based approaches and continuous feedback in supporting effective training.
© 2026 Robert Ridpath, Steven A. Freeman, published by Virginia Tech Publishing
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