## 4 Conclusions  
Due to the high involvement of people in the assembly process and the movement towards striving for higher productivity, the need has arisen to adapt the workplace to the workers. In this study, we presented the development of a smart algorithm that takes into account various influential parameters, such as the anthropometry of the individual worker, the properties of the product and the complexity of the assembly process. It controls a smart manual assembly workstation developed in the laboratory and implemented with smart technologies and tools. The main functions of the workstation, which have a great influence on the efficiency of the assembly process, are the height of the workbench, the direction and intensity of the lighting, the rotation of the assembly nest and the distance and inclination of the grab containers, which are controlled by labels. The workstation is also equipped with digital instructions, which are displayed via LPM software and pick-by-light technology, showing the correct section of the grab container where the current part is stored. The newly developed smart assembly workstation has been compared to a traditional fixed workstation in terms of its operational capabilities. The time evaluation, error analysis and an evaluation of the ergonomic suitability were carried out. The experimental measurements were carried out with untrained and unskilled workers, while the ergonomic evaluation was done in a Siemens Jack virtual environment. The results of the time analysis showed that the main drawbacks of a smart manual assembly workstation are the instruction program, as it is slower than the workers' skills. Without considering this disadvantage, the assembly times of the products P1 and P2 on a smart manual assembly workstation are shorter than on a traditional workstation. The error analysis has shown that the use of smart technologies and tools reduces the number of errors for more than 72%. However, the results showed that we still have not eliminated the errors that occur at the assembly nest when the worker places the right part in the wrong place. An ergonomic analysis of the assembly process of the P1 product has shown that the placement of the grab container at a traditional workstation forces the worker to reach for the parts in the hazardous zone 12 times; on the contrary, at a smart assembly workstation, we have eliminated the worker reaches to the hazardous zone. The main contribution of the study is presented by all three analyses which have shown that the design or redesign of assembly workstation is recommendable for the health (ergonomic analysis) as well as for the productivity (time, errors) of the worker and thus for productivity improvements of the  
Figure 11: (**a**) Distribution of forward reaches per work cycle on smart assembly workstation; (**b**) CAD model of a smart workstation with an avatar in a virtual environment. companies. Another contribution of the smart workstation design controlled by a smart algorithm and appropriate digital instructions is that we can save time and reduce the cost for in-depth training and further learning of workers since research has shown that the assembly of simple products can be carried out with less errors even by untrained workers in comparison to a traditional workstation. For the further work, we will: (i) take into account the workers' comments and recommendations that we received during the measurement to improve the smart assembly, (ii) improve the LPM program, and (iii) eliminate the possibility of errors occurring and recurring. The research of smart algorithm also goes towards the implementation of human databases for different nationalities (workers' constitutions) and legalizations for lighting for other countries. Future work will also focus on upgrading the smart algorithm with machine learning methods and visualization using AR technology. Conceptualization, M.T. and N.H.; methodology, M.T. ; software, M.T. and M.P. ; validation, M.S. and N.H; formal analysis, M.T. and M.S. ; investigation, M.T.