Activities related to allocation of goods in the warehouse are crucial for logistics. All operations with goods in the warehousing area are labour-intensive and time-consuming, which in turn generates warehousing costs. Despite the ongoing automation in this area, human labour is still applicable in many warehouses. This study includes researches on impact of the assortment allocation in the warehouse on the human factor (HR). It includes the analysis for research literature concerning the warehousing and picking influence on HR in its scope, as well as simulation of goods allocation in the warehousing area and discussion concerning the obtained results. The simulation is carried out with application of the swarm algorithm, and the results were subjected to the statistical analysis. Correlation of cost optimization and factors influencing the ergonomics of operation in the warehousing area is determined.

Theoretical background: The literature analysis focuses on the importance of spatial design of warehouses, especially the retrieval zone. Research shows that warehouse layout has a key impact on operational efficiency, especially in manual order picking. The authors discuss various approaches that are mainly aimed at minimizing the average distance traveled by warehouse employees when picking orders. Other studies also include warehouse workers’ movements and operations planning. The authors note that existing research focuses mainly on operational efficiency, ignoring social and environmental aspects. Hence, there is a need to develop a methodology that will take into account these additional aspects of designing a sustainable warehouse. Purpose of the article: The article in the context of scientific research aims to present the methodology of designing a spatial warehouse system in terms of sustainable development. In a practical context, a tool for assessing the effectiveness of sustainable design was developed. Research methods: A case study was chosen as the research method. Observation and interviews with employees were used. These methods allowed for a better understanding of the analyzed issue and occurring phenomena. In addition, the methods used allowed to verify the developed method of spatial design of the warehouse in terms of sustainable development. Main findings: By achieving scientific and practical goals, the article can contribute to promoting sustainable design in business and architectural practice and contribute to building a more sustainable and effective work environment.

Theoretical background: The article delves into the realm of occupational risk management within the context of supply chain management and enterprise logistics. It emphasizes the importance of ensuring safety and sustainable working conditions in today’s dynamic business environment, where supply chains are becoming increasingly globalized and complex. Purpose of the article: The primary objective of the article is to introduce a novel approach to occupational risk management that leverages advanced digital technologies and simulations. It aims to address the existing research gap by developing a method that considers dynamic environmental factors and individual worker needs. By analyzing the synergy of various hazards, monitoring employee workload, and employing simulations, the article seeks to enhance the accuracy of occupational risk assessment and facilitate more effective corrective actions. Research methods: The article employs a mixed-method research approach, drawing upon both theoretical analysis and practical application. It begins with a thorough literature review to establish the theoretical framework and identify research gaps. Subsequently, it discusses the proposed solution – a method for managing occupational risks using simulation – by presenting its theoretical description and implementation process. The research methodology involves the development and application of this method to a selected order picking process, followed by simulation to minimize occupational risks. The authors also utilize software tools to simulate work processes and assess health risks to workers. Main findings: The main findings of the research suggest that occupational risk assessment using simulation has a significant impact on improving work processes in terms of sustainable workplaces. By introducing elements of labor humanization and redesigning work processes, the study demonstrates a reduction in the sources of occupational risk. The innovative approach to risk assessment, based on recursion across different organizational resources, facilitates the identification of improvement action projects. Additionally, the study emphasizes the importance of digitalization and Industry 4.0 technologies in monitoring working conditions, identifying risks, and implementing preventive measures. Overall, the research contributes to shaping new standards for safe and sustainable work environments, thereby enhancing both safety and efficiency within organizations.