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A complexity framework for self-engineering systems

Brooks, S. J. ORCID: 0000-0002-5712-7358 and Roy, R. ORCID: 0000-0001-5491-7437 (2020). A complexity framework for self-engineering systems. Smart and Sustainable Manufacturing Systems, 4(3), doi: 10.1520/SSMS20200059


To ensure extended useful life of systems during pandemics such as coronavirus disease (COVID-19), systems independent of traditional maintenance, repair, and servicing will be required. Ambitious new designs are needed, such as self-engineering (SE) systems to automatically respond to return lost functionality and improve product resilience without human intervention. Development in SE has focused on self-healing materials, self-reconfiguring electronics, and self-adapting robotics. There has been little work to evaluate SE systems holistically and develop new design tools for creating new SE systems. This paper presents a framework for evaluating the complexity of SE systems and the validation of the framework with expert interviews. There was agreement between experts and the authors for 21/24 of factors for the 8 SE examples (4 biological and 4 engineering) evaluated using the framework. Disagreements in results were caused by a lack of knowledge on the system being evaluated or misunderstanding about the system operation.

Publication Type: Article
Publisher Keywords: Self-engineering; manufacturing; repair; complexity; bioinspired; design
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments: School of Mathematics, Computer Science & Engineering > Engineering
Date Deposited: 20 Nov 2020 08:46
[img] Text - Accepted Version
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