Abstract
The efficiency behaviour of an industrial plant, part of a huge international structure of plants, is modelled as an emergent phenomenon in a complex adaptive system. The study is based on real in-service data obtained from an industrial production line monitoring system. Models of complex adaptive systems and some modern manifold learning methods are introduced in a unified formalism. The emergent behaviour is efficiently described in this setup.
Highlights
This article should be considered as part of a larger research programme, which aims to investigate the applications of modern manifold learning as an efficient tool for modelling emergent phenomena in complex systems
In the context of the considerations presented in the previous sections, manifold learning methods have been applied to the available Packaging Line Monitoring System (PLMS) record of industrial plants
The overall mechanical performance behaviour of an industrial plant has been efficiently described as an emergent phenomenon in a complex adaptive system
Summary
This article should be considered as part of a larger research programme, which aims to investigate the applications of modern manifold learning as an efficient tool for modelling emergent phenomena in complex (adaptive) systems. The more general research programme, of which this work takes part, aims to develop modern manifold learning methods able to introduce the obstruction detection techniques of the theory of geometric structures in a more concrete computational context. In our view this would be a remarkable tool for analysing, modelling and quantifying complexity of systems. Examples of standard constructions in differential geometry are introduced in order to make the paper more intuitive for non experts
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