The ability to make timely and sound decisions is one of the key activities of managing an organisation. Organisations try to reduce production costs as much as possible, but this in turn brings the downside of products that do not meet customer expectations. However, this phenomenon also has other downstream processes that burden the organisation and make it more difficult to continue to function. These include customer complaints, the cost of rectifying the defects complained of, downtime, etc. The successful operation of any organisation therefore depends on its ability to adapt to changing customer requirements, as these are a priority in the market. Statistical methods and tools are an effective tool for quality improvement and it is not only advisable, but we can say essential, to introduce them into production processes. Without systematic quality management, an organisation is not able to grow, because it has to combine the enormous effort of developing and introducing new products with the maximum maintenance of the quality of the products already in place. The aim of this paper is to highlight selected tools and methods for process improvement in an organization operating in the automotive industry. The subject of observation is the process of tightening airbag joints. Using Pareto analysis, both bolt and nut tightening data was collected during 3 work shifts over a period of one month. One of the statistical tools and methods used in organizations are sophisticated methods - it includes operational research methods, multivariate analysis, etc. Statistical process control is essentially the maintenance of a process in a steady state. Based on the result, a conclusion is then drawn as to whether corrective action is to be taken to improve/remove the undesirable condition or, in the case of favourable results, to continue with the next production process.