We have to abandon our old thinking patterns and, in a few ways, make a leap of faith in the new. Artificial intelligence will enhance the efficiency of communications and networks between people, machines and information and improve processes and projects. Lean creates the foundation for the future of technology and encourages the process of optimization. Lean is also crucial to achieving stability and standards, which is the foundation for all digitalization. Only processes that are stable and consistent are able to be digit0alized.
Digitally-enabled processes form the basis for the major AI areas, including:
- Machine Learning (ML) makes use of math and statistics to gain knowledge from data and improve through the experience.
- Deep Learning (DL): Artificial neural networks are used to solve difficult tasks.
Within the framework of Takt scheduling as a standard scheduling method used in construction lean, the advantages of these two technologies can be tapped according to the following:
- With ML technology, takt plans can be developed automatically by analyzing previously obtained empirical data. However, humans are needed to participate in the loop for verification.
- With DL, the takt plan for projects is developed completely independently, with no human involvement involved.
Lean principles are being increasingly backed by the use of larger, more complex data sets, which is the reason why the future of big data and lean is interconnected. The ability to assess data accurately, to develop metrics, and to enhance processes will determine the competitiveness of businesses in the real estate and construction sector. Companies that wish to remain competitive on the market will require the management of data, e.g. using a data warehouse an information database on construction for efficient, optimized and reliable project handling as well as enhanced management processes.
As the complex nature of construction projects, information warehouse is becoming more important. In conjunction, sustainability demands as well as the pressure on costs and the requirement for shorter project times make it easier to streamline the process of construction, in spite of the many technology accessible. This means that engineers and technicians have to tackle increasingly difficult issues. This is why artificial intelligence, in conjunction with the associated technologies that are futuristic, is the ideal solution for managing projects within the plan framework.
Holistic process systems capable of maintaining and improving the synchronization of implementation in a structured manner can take lean to a new level and could be much more disruptive. Processing and visualization of data streams related to projects and smart connections between influences and dependencies result in autonomously designed production or project plans. By using AI and live information, a project will continue to learn and eventually grow into a platform which can complete everything autonomously. We won’t be certain about it; however, we must make ourselves available today in a position to adapt to the future.
The concept of Lean in Construction is its own way based on a simple concept: implement processes that are efficient and no the possibility of waste. But, implementing this basic concept in the construction or real estate industry is an extremely difficult task. This is where data plays a role. Without data, lean methods or efforts to improve operational efficiency are usually built on projections and estimates. The most common approach to looking at the lean movement is to consider construction as a production process, and, in turn thinking of the construction project as a temporary production process. But, if we wish to draw this analogy, we need to recognize that construction is among the most complicated production systems. According to this reasoning, lean construction needs big data.
If we are able to embed lean practices into the corporate DNA, then not only incremental improvements, but also radical ideas will come up. Lean continually is challenging the status quo since effectiveness and efficiency are both improved. Artificial Intelligence can play a major role in this. However, only with lean technology can you achieve a balance between people technology, data, and.