Digital Twin Technology is Claimed to Be Able to Boost Company Performance – 2024-04-27 07:35:16

by times news cr

2024-04-27 07:35:16

Energy Academy Indonesia (ECADIN) together with the Ministry of Industry with the support of PT Pertamina (Persero) held a business discussion “How Digital Twins are Driving Sustainable Systems” about the integration of digital technology in the business world. Photo: doc. ECADIN

jpnn.comJAKARTA – Energy Academy Indonesia (ECADIN) together with the Ministry of Industry with the support of PT Pertamina (Persero) held a business discussion “How Digital Twins are Driving Sustainable Systems” about the integration of digital technology in the business world.

This activity, which was held at Hannover Messe 2024 Germany, was aimed at encouraging a sustainable industrial transition by utilizing advanced technology.

“Digital twin is one of several emerging technologies that can be a tool for realizing business with sustainable principles,” said Prof. Bayu Jayawardhana, leader of the Digital Twin Perspectief program and technical director at the Faculty of Science and Engineering, University of Groningen, Germany, in his statement, Thursday (25/4).

He explained that digital twin is a platform for visualizing, planning and executing actions through models or simulations. With this technology, better and more efficient decision making can be done using predictive analysis methods.

“The integration of this technology into the entire value chain (full digitization) also allows products to enter the market more quickly due to the high level of efficiency through predictive analysis of historical data and modeling of each process,” he said.

Currently, the implementation of digital twin has been implemented in the iron and steel company, Tata Steel. This provides many benefits, such as CO2 emissions being reduced by up to 50% and also other efficiencies.

Prof. Bayu admitted that there were challenges faced in its implementation, namely related to complex industrial processes, which required model-based algorithms to become more accurate. Apart from that, the lack of guaranteed security and performance aspects is also a weakness for its implementation.

“Therefore, we continue to strive to develop increasingly accurate digital twin technology, where our team is also in the development stage to overcome synergy problems between model-based engineering and data-driven as well as guaranteeing the performance and security of the resulting data analysis,” he said.

Digital twin technology is claimed to be able to boost company performance in driving sustainable systems.

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