Figure 5 : SWOT Analysis for Focus Group Discussion ( FGD ) with Construction Industry
towards a revolution through people , process and technology advancement and its intellectual capital drives this transformation by a proper planning on operation , tactical and strategies . Figure 5 shows the key features of the industry ’ s natural strengths and weaknesses , and the challenges faced by industry players in implementing Construction 4.0 .
Game Changers : Vision and Goals
Looking into the existing support for construction markets , with tight fiscal constraints , it is important to bring construction businesses to a high level of performance and deliver high-quality technical products and services . Creating and orientating core values in line with a digitised strategy will incentivise the growth of technology and bring about improved business performance . A clear vision “ to be the leading Construction 4.0 Country in the Southeast Asian region ” has created a network among its members across disciplines to jointly discuss , develop and execute construction strategies towards digital transformation . These multiconcerted efforts will benefit industry participants and prepare the region for this revolution .
By adopting the 12 technologies , lots of game changers become available such as the modular factory , with its ability to distribute and automate production in terms of scalability and flexibility of design and manufacturing processes . With this transformation more valuable products can be offered which involve several different entities that will be managed by different plant owners . Standardised business interfaces allow fast and efficient negotiations and contracts to be agreed upon using automated brokers employing smart contracts via blockchain technology . Prior to changing production methods , it is desirable to simulate and optimise processes by using the BIM platform which comprises multiple production units , to meet customer demand and support .
The goals of the smart construction game changer are :
● Fast decision-making and support both for humans and machines in the construction industry .
● Enable ‘ to do ’ decisions , based on big data derived from multiple sources .
● Improve Machine Learning and AI to support monitoring and automated decision making of production processes , predictive maintenance and to speed up response
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