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This paper aims to support the creation of high performance ‘Plug-and-Produce’ systems by proposing a new semantic model that targets the use of AutomationML (AML). In this direction, the focus is narrowed to the self-description of equipment modules that highlights the use of ‘Skill’ concept. An insight description on how the concept of ‘Skill Recipe’ can be used to execute the equipment ‘Skills’...
In this paper, we develop an optimization model for providing a logical layout for reconfigurable assembly systems from a library of available equipment modules. The design problem addresses the challenges in equipment selection to build workstations and subsequently the entire assembly system. All the available equipment modules are assumed to be modular and each of them retains a subset of skills...
Assembly systems today face significant pressure to provide highly adaptable and quickly deployable solutions in order to deal with unpredictable changes according to market trends. However, control of assembly processes is dominated by the use of Programmable Logical Controllers (PLC) which do not provide the necessary mechanisms to easily deal with these challenges. The concept of agent-based control...
In the last years, assembly systems have been challenged by the new market and economic trends, which require more flexible, evolvable, reconfigurable and adaptable manufacturing systems. This scenario has led to the development of new paradigms in the assembly domain. The “Plug & Produce” and modularity concepts along with the use of agent technologies have emerged to support the development...
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