Advanced Manufacturing: An Industrial Application for Collective Adaptive Systems

Sanderson, David R.; Antzoulatos, Nikolas; Chaplin, Jack C.; Busquets, Dídac; Pitt, Jeremy; German, Carl; Norbury, Alan; Kelly, Emma; Ratchev, Svetan

doi:10.1109/sasow.2015.15

Cited by 13 publications

(7 citation statements)

References 33 publications

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“…Adaptive manufacturing systems are an interesting industrial application for Collective Adaptive Systems (CAS) [1]. They consist of many heterogeneous agents, such as robots and vehicles, working together in a dynamically changing environment to fulfill a common goal, i.e., manufacture the desired products.…”

Section: Motivationmentioning

confidence: 99%

Distributed Constraint Optimization for Task Allocation in Self-Adaptive Manufacturing Systems

Hirsch

Neumayer

Ponsar

et al. 2021

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)

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Section: Motivationmentioning

confidence: 99%

Distributed Constraint Optimization for Task Allocation in Self-Adaptive Manufacturing Systems

Hirsch

Neumayer

Ponsar

et al. 2021

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)

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“…An Evolvable Assembly System is an example of a modular, flexible, reconfigurable manufacturing system, and also a complex, context-aware, collective adaptive system of systems [38]. With this in mind, we must modify the definition of structure from the literature.…”

Section: Structurementioning

confidence: 99%

A Function-Behaviour-Structure design methodology for adaptive production systems

Sanderson

Chaplin

Ratchev

2019

Int J Adv Manuf Technol

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Adaptive production systems are a key trend in modern advanced manufacturing. This stems from the requirement for the system to respond to disruption, either in the form of product changes or changes to other operational parameters. The design and reconfiguration of these systems are therefore a unique challenge for the community. One approach to systems design is based on functional and behavioural modelling, drawn from the field of design theory. Existing approaches suffer from lack of focus on the adaptive properties of the system. While traditional production systems design focusses on the physical system structure and associated processes, new approaches based on functional and behavioural models are particularly suited to addressing the challenges of disruptive production environments resulting from Industry 4.0 and similar trends. We therefore present a Function-Behaviour-Structure (FBS) methodology for Evolvable Assembly Systems (EAS), a class of self-adaptive reconfigurable production systems, comprising an ontology model and design process. The ontology model provides definitions for Function, Structure, and Behaviour of an adaptive production system. This model is used as the input to a functional modelling design process for EAS-like systems, where the design process must be integrated into the system control behaviour. The framework is illustrated with an example taken from a real EAS instantiation using industrial hardware.

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“…The dynamic process control and optimisation required to take advantage of such an autonomous factory can only be provided by self-adaptive and self-organising machine intelligence (Sanderson et al, 2015;Pitt, 2014). In addition to the process control, this system will use the contextawareness data and digital twin simulations to perform real-time condition monitoring with autonomous planning of maintenance and logistics operations, connecting to future MES, MRP, PLM, etc.…”

Section: Simulation Optimisation and Traceability In A Fully Autonomentioning

confidence: 99%

Conceptual Framework for Ubiquitous Cyber-Physical Assembly Systems in Airframe Assembly

2018

Self Cite

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Current sectoral drivers for the manufacturing of complex products-such as airframe assembly-require new manufacturing system paradigms to meet them. In this paper, we propose a conceptual framework for cyber-physical systems driven by ubiquitous context-awareness by drawing together a unique and coherent vision that merges several extant concepts. This framework leverages recent progress in agent-based systems, flexible manufacturing, ubiquitous computing, and metrology-driven robotic assembly in the Evolvable Assembly Systems project. As such, although it is adapted for and grounded in manufacturing facilities for airframe assembly, it is not specifically tailored to that application and is a much more general framework. As well as outlining our conceptual framework, we also provide a vision for assembly grounded in a review of existing research in the area.

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Advanced Manufacturing: An Industrial Application for Collective Adaptive Systems

Cited by 13 publications

References 33 publications

Distributed Constraint Optimization for Task Allocation in Self-Adaptive Manufacturing Systems

Distributed Constraint Optimization for Task Allocation in Self-Adaptive Manufacturing Systems

A Function-Behaviour-Structure design methodology for adaptive production systems

Conceptual Framework for Ubiquitous Cyber-Physical Assembly Systems in Airframe Assembly

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