Ambient intelligence in self-organising assembly systems using the chemical reaction model

• Published in: Journal of ambient intelligence and humanized computing Vol. 1; no. 3; pp. 163 - 184
• Main Authors: Frei, Regina, Di Marzo Serugendo, Giovanna, Șerbănuță, Traian Florin
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01-09-2010; Springer Nature B.V
• Subjects: Abstract machines; Agile manufacturing; Ambient intelligence; Artificial Intelligence; Assembly; Chemical reactions; Computational Intelligence; Consumer electronics; Consumers; Design; Engineering; Industrial robots; Manufacturing; Manufacturing engineering; Ontology; Original Research; Production planning; Reconfiguration; Robotics; Robotics and Automation; Robots; User Interfaces and Human Computer Interaction; Evolvable assembly systems; Self-organisation; Chemical reaction model
• ISSN: 1868-5137; 1868-5145
• DOI: 10.1007/s12652-010-0016-0

This article discusses self-organising assembly systems (SOAS), a type of assembly systems that (1) participate in their own design by spontaneously organising themselves in response to the arrival of a product order and (2) manage themselves during production. SOAS address the industry’s need for agile manufacturing systems to be highly responsive to market dynamics. Manufacturing systems need to be easily and rapidly changeable, but system re-engineering/reconfiguration and especially their (re-)programming are manual, work-intensive and error-prone procedures. With SOAS, we try to facilitate this by giving the systems gradually more self-* capabilities. SOAS eases the work of the SOAS designer and engineer when designing such as system for a specific product, and supports the work of the SOAS operator when supervising the system during production. SOAS represent an application domain of ambient intelligence and humanised computing which is not frequently considered, but therefore none the less important. This article explains how an SOAS produces its own design as the result of a self-organising process following the Chemical Abstract Machine (CHAM) paradigm: industrial robots self-assemble according to specific chemical rules in response to a product order. This paper reports on SOAS in general, the specification of the chemical reactions and their simulation in Maude.