Applying fuzzy logic and constraint networks to a problem of manufacturing flexibility

Zukin, Marcio; Young, Robert E.

doi:10.1080/00207540110053570

Cited by 9 publications

(1 citation statement)

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“…Thanks to this modelling structure, interactive parameters and flexible parameters are also defined. A new approach is proposed here to solve task allocation in a flexible production system (FMS) environment by using fuzzy decision mechanism in digital twin approach that enables optimal decisions in a dynamic system structure [9][10][11][12][13]. This work could further encourage the development of digital twin-enabled decision support in other traditional industries [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Digital Twin Based Flexible Manufacturing System Modelling with Fuzzy Approach

2022

ACSS

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The digital twin-based fuzzy decision mechanism provides great opportunities for the realization of the optimization process, especially in the flexible production environment, with big data and new business modes beyond expectations. Developing technology has brought with it the increasing amount of data and the development of big data analysis techniques. We can give Internet of Things (IoT), 5G, digital twin and cloud computing technologies as examples. Digital twin covers the process of monitoring and directing the production processes in the virtual environment in line with the increasing amount of data and the ability to respond quickly and accurately to customer services. The digital twin provides the internal and external changes in the production environment allow instant analysis of data. In this approach, it is aimed to optimize the production process, reduce costs and increase operational efficiency. It provides continuous learning in the production system environment and self-optimization of the system. It includes a digital twin-based integrated smart production model and the evaluation of the fuzzy approach in decision-making in a flexible production environment Advances in Computer, Signals and Systems (2022) Clausius Scientific Press, Canada

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