This study explores the integration of Industry 5.0 principles into existing Industry 4.0 configurations to address excessive heat dissipation, energy efficiency and promote carbon neutral manufacturing. Industry 5.0 represents a paradigm shift, emphasizing human-centered approaches, energy efficiency and environmental sustainability alongside traditional productivity goals. The case study analyzes energy consumption in an Industry 4.0 setup, quantifies heat waste and applies innovative solutions to optimize energy use. Considering digital manufacturing through the Industrial Internet of Things (IIoT), big data analytics, smart automation technologies in cyber-physical production systems and sustainable practices, the study aims to mitigate and minimize energy waste and carbon emissions. Through quantitative analysis, it identified energy inputs, mapped energy transformations, and assessed energy waste hotspots. Despite all the benefits of Industry 4.0, it showed that responsible practices and new initiatives are required to reuse and capitalize on that wasted energy or heat, underscoring the importance of integrating Industry 5.0 principles for sustainable manufacturing.

In today's dynamic business landscape, efficient supply chain management is crucial for maintaining competitiveness and sustainability. Traditional methods often lead to fragmented processes, lack of transparency, communication gaps, and increased operational costs. This research addresses these challenges through a case study, literature review, and comparative analysis, proposing a software platform solution named SuppliFlow. The study integrates insights from various sectors, including e-commerce, to explore Digital Supply Networks, Distribution Management, Integrated Supply Chain Management, and sustainability practices aligned with the Circular Economy. It also advances the concept of Supply Chain as a Service. This research develops customizable workflows within SuppliFlow, designed to cater to specific supply chain requirements from procurement to delivery. The integration of the Beckn Protocol, an open-source data protocol, is examined for its potential to establish decentralized networks and secure transactions. The study also investigates real-time order tracking and consolidated payments for financial and data management efficiencies. A SuppliFlow prototype tailored for assembly service providers was created and tested to assess its effectiveness in standardizing procurement-to-delivery processes. The findings indicate that SuppliFlow can enhance supply chain efficiency, reduce operational costs, and improve visibility. This research contributes to supply chain management by presenting a novel approach through the development and testing of SuppliFlow. The implications suggest potential pathways for future research and practical applications in improving organizational performance in the global marketplace.

Process mining has emerged as a powerful technique for analyzing and improving business processes. In this research paper, the application of process mining in a vertically integrated small-scale smart factory is explored. The study aims to identify challenges, analyze data issues, and explore the potential of process mining as a tool for process optimization. Employing a case study approach, data is collected from the entire process and analyzed using process mining software. The findings show how to use data to enable process mining in current scenarios. Challenges related to data synchronization and the impact of network delays on data accuracy are revealed. However, despite the challenges identified, this research demonstrates the potential of process mining to drive process optimization in smart factory environments. This paper contributes to the field of process mining and provides valuable information for academia and industry professionals seeking to optimize production processes through data-driven analysis in the era of Industry 4.0.