Design Requirements for Effective Hybrid Decision Making with Evolvable Assembly Systems

Golightly, David; Sanderson, David R.; Holmes, P.G.; Ratchev, Svetan; Sharples, Sarah

doi:10.1145/2970930.2970949

Cited by 4 publications

(6 citation statements)

References 10 publications

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“…Our future theoretical research focus will be on more complex integration of hybrid human-machine decisionmaking through a joint cognitive systems approach [18]. This should provide for easier integration of automated and manual operations in a production environment.…”

Section: Contribution and Further Workmentioning

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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Section: Contribution and Further Workmentioning

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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“…This can be applied in both product design [7] and system design and control [58,36]. The relationship between JCS and the EAS project is briefly explored in [31]. In particular, the algorithms presented in this paper, along with the general approach from EAS, address a number of considerations raised in JCS system design [58,31]: decentralisation, self-organisation/adaptation, goal-orientation, capacity for evolution (in that goals can be updated over time), and enabling the system design process to take into account the relevant capabilities and resources.…”

Section: State Of the Artmentioning

confidence: 99%

Synthesising process controllers from formal models of transformable assembly systems

Silva¹,

Felli²,

Sanderson³

et al. 2019

Robotics and Computer-Integrated Manufacturing

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When producing complex and highly customisable products in low volumes (or in 'batch sizes of one'), automation of production systems is critical for competitiveness and profitability in high labour-cost economies. To facilitate batch-size-of-one production, 'topology generation', 'realisability', and 'control' algorithms have been developed as part of the Evolvable Assembly Systems (EAS) project. The topology generation algorithm computes all the possible sequences of parallel activities that assembly resources can perform on parts and is run offline whenever the layout of the production facility changes, whereas realisability checking and controller generation are performed at run-time to check whether a production facility with a given set of assembly resources can assemble a desired product, and how the product should be assembled, e.g., which resources to use, and when. Generated controllers are output in Business to Manufacturing Markup Language (B2MML). Taken together, the algorithms thus represent a step toward a complete path from the formal specification of an assembly system and the products to be assembled, to the automated synthesis of executable process plans. This paper presents each algorithm in sufficient detail to allow their reimplementation by other researchers. Topology generation is the most expensive step in the approach. A preliminary experimental evaluation of the scalability of topology generation is presented, which suggests that, for small to medium sized production facilities, the time required for recomputing the topology is sufficiently small not to preclude frequent factory transformations, e.g., the addition of new resources.

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“…This enterprise integration is also required for the provision of holistic decision-making on the impact of any disruptions which may occur that the system is not empowered to address automatically (Golightly et al, 2016). It should also present flexible and dynamic real-time reporting information with role-based dashboards that target the specific issue and corrective action.…”

Section: Simulation Optimisation and Traceability In A Fully Autonomentioning

confidence: 99%

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

2018

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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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Design Requirements for Effective Hybrid Decision Making with Evolvable Assembly Systems

Cited by 4 publications

References 10 publications

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

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

Synthesising process controllers from formal models of transformable assembly systems

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

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