Simulation training improves employee competence in unloading petroleum products from railway tanks, suggesting safer practices.
The paper is devoted to the problem of negative influence of the human factor when unloading petroleum products out of railway tanks on oil cargo piers. The frequency and causes of staff errors at the current unloading site are studied empirically, and a technical solution is proposed that would enhance the competence of existing employees and accelerate the adaptation of incoming employees. The relevance is due to the widespread introduction of digital solutions at enterprises to train employees safely in the conditions of constant personnel changes and stricter security requirements. The scientific novelty is in the following: development of a simulation algorithm that reproduces not only standard operations, but also takes into account common errors of personnel when unloading oil products, found empirically; study of functional possibilities with an emphasis on detailed examination of the user with the equipment in use. Theoretical significance is in the development of a digital tool that facilitates an accelerated and effective understanding of the key provisions of trouble-free work based on the study of human adaptation in the industrial environment. Practical significance is determined by the possibility of introducing a software training platform into the production processes of unloading dangerous goods, including petroleum products, out of railway tanks throughout the Russian Federation due to the identity of the operations performed.
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Kuzmin et al. (2025) studied this question.
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