摘要:
The evolution of factory technologies has enabled a significant level of manufacturing flexibility through the use of programmable automation such as CNC and PLCs, hardware innovations such as quick-change tooling, and operator assist technologies. However, the manufacturing information system remains the most inflexible aspect of a factory. These systems are typically customized for manufacturers by system integrators and are often composed of large monolithic systems built around an ERP/MRP framework or a collection of decision-support software tools that are poorly integrated, with a patchwork of communication channels connecting *** the other hand, cloud-based information service platforms, such as those used in social networks and service brokers, have experienced multiple cycles of rapid evolution, resulting in a tremendous increase in their ability to handle increasingly large data scales and rates while maintaining their elasticity and flexibility. This swift advancement of cloud-based information services has sparked a new era in the manufacturing industry, as evident in the emergence of manufacturing cyber-physical system technologies, including the Industrial Internet of Things (IIoT) and Cloud Manufacturing (CM). These technologies are part of the broader context of the unfolding fourth industrial revolution, also known as Industry 4.0 or Digital Manufacturing. This revolution emphasizes the importance of connectivity, information, and machine-based intelligence to create a new paradigm for manufacturing that is highly flexible, scalable, responsive, and *** work proposed in this dissertation facilitates the digital transformation of manufacturing organizations by designing, implementing, and testing an infrastructure platform that can handle shopfloor information. This platform, called Operating System for Cyber-Physical Manufacturing (OSCM), combines cloud and edge elements to achieve three objectives: (1) enable connectivity and intera