## 5 Conclusions  
Our analysis of research related to the handling of bulk materials indicates that there is potential for improving the activities of the container loading process in the studied factory. In the research available in the literature, the problem of selecting bulk material handling technologies is mainly discussed from a theoretical perspective, while in practical research, there are numerous limitations [16; 17; 18]. Therefore, this study aimed to overcome these identified gaps through a case study of a construction material factory operating in Serbia. The analyzed factory produces construction materials, 60% of which are cement. For this case study, alternative solutions that would greatly increase the efficiency of the factory's work and eliminate some of the observed deficiencies were proposed. For the optimization of the intralogistics activities of the factory, a new MCDM model that combines the Fuzzy SWARA and ADAM methods was developed. This is the main scientific contribution of this paper. Also, this paper provides clear guidelines for defining and selecting bulk material handling technology, focusing on those used in the construction industry. The experts who participated in this study, primarily involved in evaluating criteria and alternatives, estimate that deployment of a pneumatic conveyor in the studied factory could enhance productivity by approximately 12-17% and minimize material wastage by at least 15%. Given the crucial significance of this aspect to the deployment of the pneumatic conveyor in the factory, it warrants further investigation in future research.  
The investigated alternative solutions and the stated criteria for the researched case study provided a framework for the selection of technology for handling bulk materials. Despite our effective optimization of selecting bulk material handling technology, future research should consider more alternatives and criteria. The practical limitations in implementing the identified solutions could be attributed to a lack of resources for investing in the proposed technology. The complexity and robustness of the applied MCDM model represent the limitations of its application, which would require the involvement of significant time resources. Future research could also be directed towards the expansion of the problem, including factors that would influence the prioritization of criteria and the expansion of the model (e.g., in the gray environment). Also, for the investigated industrial plant, in addition to container loading operations, it is possible to consider other intralogistic activities, such as unloading containers, transshipment, etc., and the handling of other material types. For the observed problem, future research could include interest groups in the decision-making process to achieve a comprehensive analysis and obtain a more effective solution for defined circumstances.  
Conceptualization, S.T., M.K. and M.B.; methodology, S.Z. and M.K.; software, M.K.; validation, S.T., M.K., M.B., S.D.-M. and S.Z.; formal analysis, M.K. and M.B.; investigation, M.K., M.B. and S.D.-M.; data curation, S.T., M.K., M.B. and S.D.-M.; writing--original draft preparation, S.T., M.K., M.B., S.D.-M. and S.Z.; writing--review and editing, S.T., M.K. and S.D.-M.; visualization, M.B.; supervision, S.T., M.K., S.D.-M. and S.Z. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Not applicable.  
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.  
The authors declare no conflicts of interest.