Journal
IEEE SYSTEMS JOURNAL
Volume 15, Issue 1, Pages 1191-1201Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2020.2990892
Keywords
Manufacturing systems; Tools; Robot sensing systems; Complexity theory; Object oriented modeling; Composability; model-driven engineering; modularity; object-oriented framework; performance assessment; robotic testing standards; small; and medium-sized enterprises (SMEs)
Ask authors/readers for more resources
In a dynamic manufacturing environment, a system should be reconfigurable to meet the demands of mass customization. However, the lack of scientific methods and tools to support system reconfiguration poses a challenge for designers in adapting to changing needs.
In a dynamic environment, a manufacturing system should be reconfigurable to make the products with lot size of one and a high product mix in mass customization. A manufacturing system is continuously evolved to make new products at different time scales and ensure uninterrupted productions when internal or external changes occur. System evolution relates to add, remove, upgrade components, and reconfigure the system at different levels and scopes. However, scientific methods and tools are lacking to support designers in reconfiguring a system subject to given changes. This becomes a big hurdle to adopt automated solutions in small- and medium-sized enterprises. To support system reconfiguration, we propose a generic framework and methods to assess the performance of heterogeneous robotic systems or components. The proposed methods can also help 1) designers to select components for an integrated solution based on the needs and 2) robot manufacturers to identify the weaknesses of their products.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available