ANALYSIS OF THE FUNCTIONAL POSSIBILITIES OF AUTOMATED DOSING SYSTEMS FOR FINISHED MEDICINES

In many modern productions, it is necessary to implement the process of dosing certain materials, liquids, reagents, etc. When automating such lines, the parameters of the dosing process can be very important. For example, in automated lines for dosing liquids into containers, the dosing process determines the efficiency of the entire production. The dosing process is essential in producing finished medicines (FM). Particularly, the advantages and disadvantages of methods of vacuum, syringe, weight dosing of finished medicines, and dosing with the use of flow meters were analyzed. A dosing machine for FM is one of the components of finished medicines production. Therefore, the overall productivity of the production facilities depends on the dosing parameters, particularly the accuracy and time of filling the container. The quantitative output of the produced products will depend on the accuracy of dosing, which affects the economic indicators of the enterprise. In this paper, the authors have analyzed the dosing methods, features of the dosing process and automated FM dosing systems. Based on the analysis, we proposed a weight dosing method for dosing pharmaceutical solutions into vials with 100 - 300 ml volume. It has been established that this method has many advantages, particularly high dosing accuracy, relatively low cost of implementation, and high equipment productivity. We carried out an analysis of the stages of the dosing process using the weight-filling method and proposed to develop an algorithm for choosing the duration of each stage based on the criteria of achieving the minimum filling time and the minimum filling error. We also proposed implementing an adaptive control algorithm with self-learning elements based on previous dosing cycles to control the dosing process. The proposed algorithm aims to optimize the dosing process parameters and achieve the best possible quality indicators, namely high dosing accuracy and minimum dosing time.