Optimization of Flexible Manufacturing Production Line System Based on Digital Twin

被引:0
作者
Ramkumar G. [1 ]
Misra S. [2 ]
Babu G.R. [3 ]
Gottimukkala A.R. [4 ]
Siddi S. [5 ]
Kumar J.S. [6 ]
机构
[1] Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Karnataka, Bangalore
[2] Birla Global University, Odisha, Bhubaneswar
[3] Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Nizampet (S.O), Telangana, Hyderabad
[4] Department of Computer Science and Engineering, Koneru Lakshmaiah Educationa Foundation, Green Fields, Vaddeswaram, Andhra Pradesh, Guntur
[5] Department of Mathematics, St. Martin’s Engineering College, Kompally, Telangana, Secunderabad
[6] Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad
关键词
Digital twin; Effectiveness; Manufacturing systems; Optimization; Production capacity;
D O I
10.1007/s42979-023-01978-9
中图分类号
学科分类号
摘要
This research presents a revolutionary Digital Twin (DT)—driven method aimed at quick customization of computerized industrial processes. The DT includes dual components, the semi-physical replication that transfers system information and gives data input to the subsequent clause, which is enhanced. The outcomes of the optimum section are returned directly to the semi-physical replication used for validation. The term “Open-Architecture Machine Tool” (OAMT) led to a fundamental class of machine tools that consists of a basic unified platform and many individually designed modules that may be quickly added or replaced away. Designers can dynamically modify the production system for responding to process planning by inserting personalized components into its OAMTs. Major enabling approaches, along with how to identical virtual and substantial systems and how to instantly bi-level program the invention size and efficiency of developed structures to accommodate sudden variations of goods, are explained. A real execution is done to demonstrate the efficacy of the method to achieve increased enactment of the system by minimizing the overhead cost of the recompose method by systematizing and quickly enhancing it. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
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