We need to let go of our outdated ways of thinking and, in a way, put our faith in the unknown. Artificial intelligence can maximize the communication and networking efficiency of people, information, and machines, and optimize processes and projects. Lean provides the basis for future technologies and drives optimization. Lean is also essential to achieving standards and stability – and stability is the cornerstone of digitization in general. Only stable and recurring processes can be digitized. Digitization processes form the basis of key AI topics, such as:
Machine Learning (ML):
use math and statistics to learn from data; improve with experience.
Deep Learning (DL):
use artificial neural networks to solve complex tasks.
In the context of takt planning as a popular planning method in lean construction, the potential of these two emerging technologies can be exploited as follows:
With ML, takt plans can be automatically generated based on previously collected empirical data. However, humans are still needed in the authentication loop.
With DL, takt plans for projects are created completely automatically without any humans in the loop.
Lean principles are increasingly supported by the adoption of larger and more complex data sets, which is why the future of Lean and Big Data is interconnected. The ability to accurately assess data, derive metrics and improve processes will determine the future competitiveness of companies in the construction and real estate sectors. Therefore, companies that want to maintain a sustainable position in the market need to manage data, such as a data warehouse – a construction information database for optimal and effective project management, quality assurance and management process improvement.
With the increasing complexity of projects, data warehousing is becoming more and more important. Taken together, sustainability requirements, increasing cost pressures and the need for shorter project cycles virtually simplify the construction process, despite all the existing technologies. available. As a result, engineers and technicians are challenged to master increasingly complex challenges. Therefore, artificial intelligence combined with accompanying future technologies is the solution of choice when managing projects in the entire planning framework.
