To provide an exceptional product or service to the consumer on time, a production and regular quality control process are essential to avoid errors that could compromise the timeliness and quality of an entire batch. This is where the human aspect intervenes in relation to the machine, to ensure that all parameters are respected. And with such industrial development of the new generation that is aimed to facilitate even more the task of production and quality control. The role of the operator and the inspector is to define, scan and visually search the process in progress, so at the end decide to accept or reject the product / service. The decision making depends initially on human reliability in performing this task with a significant error rate. Human error is an inappropriate reaction that leads to anomalies and defects in the organization, it is considered a major factor in reliability and the cause of loss of human performance. Several factors influence human reliability and lead to errors, and by the same effect they generate human cognitive behavior. The cognitive-behavioral approach aims to help operators to cope with the external environment and to better integrate into industrial environments of any kind. In this regard, we study human cognitive behavior in order to better understand its features, weaknesses and potentials. With this neuropsychological knowledge, we propose the best methodologies to optimize the performance of human reliability and achieve the required productive and qualitative aspect.