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http://dx.doi.org/10.22156/CS4SMB.2020.10.09.001

A Study on a Framework for Digital Twin Management System applicable to Smart Factory  

Park, Dongjin (Department of Industrial & Systems Engineering, Kongju National University)
Choi, Myungsoo (Department of Industrial & Systems Engineering, Kongju National University)
Yang, Dongsik (Department of Industrial & Systems Engineering, Kongju National University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.9, 2020 , pp. 1-7 More about this Journal
Abstract
In order to implement a smart factory for manufacturing innovation, more digital twins will be developed and applied gradually. In particular, simulation and optimization of digital twins makes it possible to support critical decision-making like a predictive maintenance of the equipment for manufacturing. In terms of a user perspective, this study suggests the conceptual framework of Digital Twin Management System (DTMS) for supporting the analytical and managerial activities for Digital Twins. We integrate the methods and structure of the area like Manufacturing Engineering, Decision Support Systems, and Optimization for developing the DTMS. The framework suggested in this study shows a typical DSS which consists of dialog management system, model management system and data management system. It also includes Analytical Digital Twins and simulations & optimization module. The framework is being applied in one of the most competitive and complex industrial sector. Also this study is meaningful to suggest a new direction of research.
Keywords
Smart Factory; Digital Twin; DSS; Simulation; Optimization;
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