Following their acquisition, the acquired data undergo data analysis techniques and methodologies to ascertain their relationships and generate meta-information. The comprehensive procedures, spanning from acquisition and validation to processing and analysis, are commonly referred to as Big Data. In essence, the culmination of integrating these concepts results in the creation of a digital replica, known as \"digital twins\", of the actual process. This facilitates the establishment of an efficient and flexible production system capable of adaptation or alteration in response to variations upstream or downstream of the process. At the core of this paradigm lies the foundation of Cyber-Physical Systems (CPS). A cyber-physical system integrates computation, encompassing the cyber world, which means embedded systems and power computation, with physical processes through computer networks. Embedded computers and networks play a crucial role in monitoring and controlling physical processes through feedback loops. CPS represents a revolutionary approach to manufacturing by integrating tangible systems with cutting-edge computing, networking, and software advancements. It consists of three key elements: the tangible system, the digital system, and the interface connecting the two. The tangible system encompasses sensors, actuators, robots, and machinery, while the digital system incorporates computing systems, software, and networking technologies. Furthermore, the deployment of end-to-end services often involves Network Function Virtualization (NFV) functionalities to address technological heterogeneity across various domains. Additionally, it is necessary to accomplish the following: (i) select the domains involved in the service deployment (e.g., where the NFs should be executed); (ii) determine the network parameters to be used for establishing proper data/information traffic routing between the domains; and (iii) create the service subgraphs to be instantiated above the domains. This can be achieved through the digitization of processes and procedures, employing concepts associated with Cyber-Physical Systems (CPS), that is, to produce the softwarization of the system and the orchestration of services. This means that the objective pursued for optimization through the processing of real-world information is embodied in the cyber-physical system (CPS). CPS seamlessly transfers information from the physical world, immerses it into a virtual space (cyber), subjects it to computational analysis, and subsequently channels the analysis results back to the real world, thereby optimizing real-world operations. Consider the implications when reality becomes programmable, giving rise to the softwarization of reality. Indeed, the softwarization of reality is already unfolding ubiquitously. Supply Chain Management (SCM) stands out as a critical factor in enhancing the competitive advantage of both small- and medium-sized enterprises (SMEs) and industrial firms. Recent years have witnessed substantial transformations in logistics-related technologies, enabling entities to boost their efficiency through the adoption of systems such as transport management systems (TMS), warehouse management systems (WMS), enterprise resource planning systems (ERP), product lifecycle management solutions, and inventory management software [10]. Beyond organizational measures, improved planning heuristics, flow orientation, process alignment, and product design, automation emerges as a pivotal opportunity for enhancing overall performance and competitiveness in logistics. Notably, automation and robotics within logistics systems are recognized as major megatrends, ranking alongside others like data analytics, artificial intelligence, autonomous and unmanned aerial vehicles, cloud computing, and blockchain technology.