Abstract
Cognitive manufacturing, as a paradigm for providing intelligence to manufacturing systems and enabling interaction with operators presents limitations. Manufacturing system requires to be adaptive to machine tools, manufacturing environments and operators. In this line, the enactive approach to cognitive science provides a paradigm for the design of new biologically inspired cognitive architectures. Likewise, the advantages of Key Enabling Technologies and the concept of Industry 4.0 reveal new opportunities for increasing industrial innovation and developing sustainable industrial environments. These technologies are appropriated to overcome the limitations of cognitive manufacturing, because they can achieve the integration of physical and digital systems focused on cyber-physical systems. In this work, an architecture for the sustainable development of enactive manufacturing systems based on holonic paradigm is proposed and its main associated informational model is described.
Highlights
Manufacturing systems are currently undergoing a deep transformation through the potential of Key Enabling Technologies (KET) [1]
A key concept of manufacturing systems is Cyber-Physical System (CPS), which together with cognitive manufacturing system, are revealed as elements to support the implementation of Industry 4.0 in terms of innovation and learning in the systems of smart manufacturing [4]
This work presents a new concept of manufacturing system, called enactive manufacturing
Summary
Manufacturing systems are currently undergoing a deep transformation through the potential of Key Enabling Technologies (KET) [1] These technologies try to configure intelligent manufacturing systems and reveal innovation and continuous learning as a lever of competitiveness and coevolution with the opportunities of the environment [2,3]. In this line, a key concept of manufacturing systems is Cyber-Physical System (CPS), which together with cognitive manufacturing system, are revealed as elements to support the implementation of Industry 4.0 in terms of innovation and learning in the systems of smart manufacturing [4].
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