Influence of human intervention on the modern manufacturing processes: an approach to process simulation focused on the human factor
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Abstract
This project is based on modeling the human-machine relationship. It focuses on the human factor and on errors that do not necessarily lead to fatalities, but to productivity losses. The case study is based on a typical automated process in a metalworking company. Errors in set-up, specification and measurement have a probability of 0.1, 0.05 and 0.2 respectively. Depending on the process stage, the effect of human error will be either on completion time or in the number of correctly produced units. Process simulation was used in the assessment of the impact of human error at different points in the process. The Technique for Human Error Rate Prediction (THERP) was used for the estimation of human error. Training programs and process standardization are essential tools in preventing these mistakes.
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