With the introduction of Society 5.0 for the sustainable future, special caution is given to humans’ role within the general system. Similarly, Industry 5.0 as a concept has been presented, followed by Logistics 5.0 in its theoretical framework. The transition towards the new concept of Logistics 5.0 requires an accurate and optimal strategic plan definition for which, in this paper, an implementation model based on decision support systems will be developed. The output data from this model are the priority of Logistics 5.0 elements (from five groups—green warehousing, green transport, green packaging, infrastructure and organization, and human resources) for the optimal implementation, based on three goals (initial investment, return of investment time, implementation and exploitation complexity) that companies aim to achieve in the future. The model is based on the analytic hierarchy process, and data were collected from an expert group and analyzed with several statistical methods. The result is a model that provides an optimal strategy for the implementation of elements of Logistics 5.0. The implementation priority list of elements is very beneficial for the management of many companies from various types of industries.

The logistics sector should strive for sustainability alongside productivity by protecting its order pickers’ health and welfare. Existing storage assignment models are mainly based on the criterion of order picking time and, to a lesser extent, the human factor. In the paper, a solution to a storage assignment problem using a multi-objective model based on binary integer linear programing is presented by developing a solution that considers order picking time, energy expenditure and health risk. The Ovako Working Posture Assessment System (OWAS) method was used for health risk assessment. The downside of solely health risk-optimization is that the average order picking time increases by approximately 33% compared to solely time-optimization. Contrary to this, the developed multi-objective function emphasizing time has proven to be promising in finding a compromise between the optimal order picking time and eliminating work situations with a very-high risk for injuries. Its use increases the time by only 3.8% compared to solely time-optimization while significantly reducing health risk.

With the increasing environmental concerns and legislative pressures, the focus on incorporating ecologically sustainable practices into inventory management systems has grown, leading to the emergence of green inventory management. However, this field is not without its challenges, with numerous conflicting real-world constraints and goals. A comprehensive literature review targeting green inventory management operating under a periodic review inventory system was conducted to identify research gaps and potential directions for future research. Despite the growing interest in the field, this review highlighted the scarcity of relevant studies. Out of the 1272 papers reviewed, only 16 studies, or 1.3%, met the criteria for exploring periodic review inventory systems while simultaneously considering environmental and economic aspects. These studies were further analyzed in detail and categorized according to key classification criteria. The future research directions highlighted the need for additional studies on periodic review inventory systems operating under stochastic market demand in the context of green supply chain management. The standardization of emission calculation methodologies was also emphasized as a crucial step towards aligning inventory management practices with the aim of increasing inventory management efficiency and the related improvement in the environmental performance of supply chains.

Industry 5.0 emphasizes human-centricity, sustainability, and resilience as its core characteristics, with a focus on developing socio-technical systems that enhance human health, safety, and well-being while fostering sustainable societal practices. The human-centric perspective places significant importance on human factors and ergonomics, aiming to align technological advancements with the needs and capabilities of individuals. In this context, artificial intelligence (AI) emerges as a transformative tool for advancing human factors and ergonomics by optimizing workplace conditions and supporting human-centered design principles. This paper conducts a literature review to explore the applications and potential of AI in addressing human factors and ergonomics challenges, providing insights into its role in shaping the future of human-centric systems within Industry 5.0.

The article mainly aims to try and create a new concept for developing logistics and supply chains in the era of Industry 4.0. Analyses of development trends in logistics and production management were used to create the new logistics and supply chain concept. Conclusions were used from the analyses of how the modern concepts of Industry 4.0, Logistics 4.0, Supply Chain 4.0, and 5.0 work. Analyses of the benefits of applying modern management concepts in these areas were carried out and criticised because of their inadequacies, which became apparent during the recent crises in the world. Although the sources of the crises were different, they could be eliminated by reconfiguring logistics systems and supply chains. The results aim to answer three questions: (1) Has the time come to change the current way of looking at logistics and supply chains? (2) What could Supply Chain 4.0 look like using Industry 4.0 tools? (3) How should Supply Chain 4.0 address the logistics and supply chain challenges? The presented answers do not exhaust the topic but rather open up a discussion on logistics and supply chains of the future. The presented concept allows for a completely new global and local view of logistics chains. The structure of the presented model can be subjected to scenario analysis using agent-based simulation modelling due to the structure’s emergent nature. The new approach can significantly benefit the development of local production centres and global supply networks. The benefits mainly come from reducing the environmental impact of manufacturing and logistics processes from the moment the new product idea is conceived.