Digital Construction and Smart construction

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Abstract

Building information model BIM

This proposal evaluates how digital construction can enhance effectiveness of the construction sector. The theory of digital construction is explored with respect to the construction needs of civil engineering industry. The study seeks to respond to the question how the use of Building information modeling (BIM) can enhance productivity in the construction industry.
Since many construction projects are often completed way behind the deadline and beyond the budget expectations, most companies have failed to reverse the issue of poor productivity and project uncertainty. Nonetheless, regardless of the sustainable growth and development, the construction industry continues to underachieve in four strategic spheres: output, certainty in delivery, skills deficiency and information transparency. The use of BIM will help companies to enhance project timeline, cost as well as quality. Through simulations, construction firms can make informed decisions owing to the insights captured through project analytics (Greasley 2017). Systematic review of published articles, current dissertations, case studies and other journals are used to compile the required information for review, as a proficient approach in the field of civil engineering. The proposal reinforces and augments data management of construction projects in a bid to enhance productivity. In addition, the findings of the study will fast-track the implementation of interoperable construction information model oriented applications. The study delves into the utilization of BIM to enhance proficiency of construction projects. The study acknowledges the fact that while digital infiltration has been pervassive in other industries; the construction industry has been left behind.  The study will explore literature review on BIM, and Internet of Things (IoT).  The study reiterates that with digital construction, the cost of construction is expected to reduce by 20% owing to better interoperationability of input variables.