ABSTRACT
The lack of collaboration between different disciplines due to the isolation of information has caused low productivity in the construction industry. The separation of data can be related to the existence of proprietary data formats in different types of software tools, which has caused a loss of data and set back the decision-making process. This paper proposes a multi-objective decision-making framework to orchestrate different functions holistically through automatic application models conversion and supported by a data-exchanging knowledge base. The framework leverages the developed common data as a central layer and also understands the specific data that is needed. The proposed structure aims at developing a new method to implement holistic decision-making, which will further enhance the current BIM and Industry 4.0 revolution in the construction industry. Future work will include the study of human decision perception and convert that into a knowledge model to manage the collaboration process better.
