What are the applications of digital twins in conjunction with artificial intelligence, Big Data Analytics and other Industry 4.0 technologies in creating simulations of digital models of complex macroprocesses?
The technology of digital twins is used, among other things, to simulate production, logistics processes in business entities, i.e. in the microeconomic field. The creation of digital twins for specific economic and financial processes carried out in economic entities supports the management of these entities. Computer simulations of e.g. production processes, offering of services, supply and procurement logistics, distribution logistics, marketing communication with customers, etc. save time and money, as possible errors in decisions generate much smaller negative effects if they are realised not within the framework of real processes and a kind of experimentation on a functioning enterprise, company, corporation, institution, etc., but within the framework of computer simulation. but within the framework of a computer simulation in which various alternative variants of the development of the economic and financial situation of a company are considered and compared with each other as forecasts of specific processes defined for the following days, weeks, months, quarters or years. Therefore, since the pandemic, many companies and enterprises in Poland have been investing in the creation of IT systems equipped with digital twin technologies, within which it is possible to create multi-criteria, multi-faceted, complex simulation models of specific economic and other processes realised within the company, and/or simulation of processes realised at the level of the company's relations with the environment, with business partners, customers, cooperators, etc.
On the other hand, the possibilities of creating simulations for macroprocesses, i.e. e.g. macroeconomic processes, natural processes, technological processes, geological processes, social processes, long-term climate change, cosmological processes, etc., through the use of digital twin technologies and also other Industry 4.0 technologies, including learning machines, deep learning, artificial intelligence, analytics carried out on Big Data Analytics platforms, are a matter of debate. Year on year, due to technological advances in ICT, including the use of new generations of microprocessors characterised by ever-increasing computing power, the possibilities for increasingly efficient, multi-criteria processing of large collections of data and information are growing. Artificial intelligence can be particularly useful in the field of selective and precise search for specific, defined types of information and data extracted from many selected types of websites and real-time transfer and processing of these data in database systems organised in cloud computing on Big Data Analytics platforms, which would be accessed by a system managing a built and updated model of a specific macro-process using digital twin technologies.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the applications of digital twins in conjunction with Artificial Intelligence, Big Data Analytics and other Industry 4.0 technologies for creating simulated digital models of complex macroprocesses?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
In my two dissertations, I was engaged in economic and mathematical modeling and optimization of production processes of organizations. Most organizations cannot link organizational and technological solutions with the financial business model. In this regard, the digital double implemented in such organizations becomes useless, but an expensive object of self-affirmation of managers, at best allowing them to imitate production processes, but not optimization. At the same time, the economic efficiency of the organization's work due to the diversion of a large amount of resources to this fun may decrease. The result will be positive only if the appropriate scientific brains are applied to such a product, which in 90-95% of cases are not present in organizations.
The combination of digital twins with AI, Big Data Analytics, and other Industry 4.0 technologies has the potential to revolutionize the way we model and simulate complex macroprocesses. The applications of such technologies can range from predicting and optimizing macroeconomic outcomes to predicting and mitigating the impact of natural disasters. One potential application is in the field of climate modeling, where digital twins can be used to simulate the effects of various policy interventions and technological developments on long-term climate change. Another potential application is in the field of urban planning, where digital twins can be used to simulate the impact of various transportation and land-use policies on the environment and human well-being.
However, there are also ethical concerns that need to be addressed in the development and use of these technologies. For example, there may be unintended consequences or biases in the data used to train AI models, which could lead to inaccurate or unfair simulations. Additionally, the use of these technologies may exacerbate existing inequalities if they are only accessible to certain groups or if their implementation is not carefully planned and monitored. Therefore, it is important to consider the potential ethical implications of these technologies and to develop guidelines and best practices for their responsible use.