Interoperability in the cyber-physical manufacturing enterprise

Abstract

New technologies supporting cyber-physical enterprise systems with respect to online decision-making based on up-to-date data, require networked sensor and actor systems in place. Interoperability is a key factor when supporting systems in a system-ofsystems. In this paper, we survey approaches on Enterprise Interoperability with special attention to the Cyber-Physical Manufacturing Enterprise. The paper identifies the need for interoperability in system-of-systems in contrast to integration in a single system. Also identified are issues due to insufficient support for physical aspects of systems. An application scenario from the manufacturing domain will serve to underpin the developed approach.

Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems

“…The importance of artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, product decision-making information systems, and deep learning-assisted smart process management in cyber-physical production systems is extensively consistent with, and provides additional confirmation of, previous review articles, e.g., [40,44,68,91,93], clarifying that CPPSs are adequate in managing complexity and flexibility, configuring the smart factory. CPPSs inspect, supervise, and automate business operations, optimizing manufacturing and logistic processes across smart shop floor environments.…”

“…As underlying mechanisms between cyber-physical production networks, deep learningassisted smart process planning, product decision-making information systems, artificial intelligence-based decision-making algorithms, and cognitive automation in sustainable manufacturing Internet of Things are comprehended to a limited extent in the current literature, certain empirical studies [81][82][83][84][88][89][90][91][92][93][97][98][99][103][104][105]108,164] systematically indicate that smart connected devices have heterogeneous processing and manufacturing capabilities and optimization operation mechanisms. Manufacturing process monitoring systems have advanced as decentralized reconfigurable networked entities by use of cutting-edge intelligent machines.…”

“…CPPSs can be thoroughly and steadily engineered during their lifecycle in smart manufacturing through Internet of Things sensing networks, cognitive automation, real-time process monitoring, and artificial intelligence-based decision-making algorithms [88][89][90][91][92][93], even though inconstant integration routines may lead to variable data patterns at heterogeneous levels of production processes. The shift from planning to the operational phase impacts the harnessing of physical tools on the industrial unit and brings about a relevant realignment of logistical requirements throughout the plants.…”

An adaptive system-of-systems approach for resilient manufacturing

“…Resilience is becoming a decisive factor of production systems. In particular with the vision of adaptive cyber-physical production systems (CPPS) which are realised using loose coupled and interoperable system-of-systems as architecture principle [17,23,40,42].…”

“…A system is composed of fully and tightly integrated elements that share the same objectives. A system-of-systems builds on five basic properties Autonomy, Belonging, Connectivity, Diversity and Emergence [2,42].…”