Building information model BIM

 

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Building information model BIM

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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.

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References

Azhar, S., Khalfan, M. and Maqsood, T., 2015. Building information modelling (BIM): now and     beyond. Construction Economics and Building, 12(4), pp.15-28.
Azhar, S., Khalfan, M. and Maqsood, T., 2015. Building information modelling (BIM): now and    beyond. Construction Economics and Building, 12(4), pp.15-28.
Bilal, M., Oyedele, L.O., Qadir, J., Munir, K., Ajayi, S.O., Akinade, O.O., Owolabi, H.A., Alaka,    H.A. and Pasha, M., 2016. Big Data in the construction industry: A review of present    status, opportunities, and future trends. Advanced engineering informatics, 30(3), pp.500    521.
Cao, D., Li, H., Wang, G. and Huang, T., 2017. Identifying and contextualising the motivations    for BIM implementation in construction projects: An empirical study in China.    International journal of project management, 35(4), pp.658-669.
Cao, D., Wang, G., Li, H., Skitmore, M., Huang, T. and Zhang, W., 2015. Practices and    effectiveness of building information modelling in construction projects in China.    Automation in Construction, 49, pp.113-122.
Chen, Y., 2016. Industrial information integration—A literature review 2006–2015. Journal of    Industrial Information Integration, 2, pp.30-64.
Ding, L., Zhou, Y. and Akinci, B., 2014. Building Information Modeling (BIM) application         framework: The process of expanding from 3D to computable nD. Automation in     construction, 46, pp.82-93.
Eastman, C.M., 2018. Building product models: computer environments, supporting design and    construction. CRC press.
Ghaffarianhoseini, A., Tookey, J., Ghaffarianhoseini, A., Naismith, N., Azhar, S., Efimova, O.     and Raahemifar, K., 2017. Building Information Modelling (BIM) uptake: Clear benefits,     understanding its implementation, risks and challenges. Renewable and Sustainable     Energy Reviews, 75, pp.1046-1053.
Greasley, A., 2017. Simulation modelling for business. Routledge.
Li, H., Yang, X., Wang, F., Rose, T., Chan, G. and Dong, S., 2016. Stochastic state sequence    model to predict construction site safety states through Real-Time Location Systems.    Safety science, 84, pp.78-87.
Love, P.E., Matthews, J., Simpson, I., Hill, A. and Olatunji, O.A., 2014. A benefits realization    management building information modeling framework for asset owners. Automation in    construction, 37, pp.1-10.
Luo, X., Li, H., Huang, T. and Skitmore, M., 2016. Quantifying hazard exposure using real-time    location data of construction workforce and equipment. Journal of Construction    Engineering and Management, 142(8), p.04016031.
Miettinen, R. and Paavola, S., 2014. Beyond the BIM utopia: Approaches to the development    and implementation of building information modeling. Automation in construction, 43,    pp.84-91.
Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P. and    Stewart, L.A., 2015. Preferred reporting items for systematic review and meta-analysis    protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), p.1.
Moses, S.B., Krishnan, V.C., Vediappan, D. and Venkatesh, V., Honeywell International Inc,     2016. System and method for auto-configuration of devices in building information     model. U.S. Patent Application 14/325,450.
Volk, R., Stengel, J. and Schultmann, F., 2014. Building Information Modeling (BIM) for    existing buildings—Literature review and future needs. Automation in construction, 38,    pp.109-127.
Wong, J.K.W. and Zhou, J., 2015. Enhancing environmental sustainability over building life    cycles through green BIM: A review. Automation in Construction, 57, pp.156-165.
Zhang, S., Boukamp, F. and Teizer, J., 2015. Ontology-based semantic modeling of construction    safety knowledge: Towards automated safety planning for job hazard analysis (JHA).    Automation in Construction, 52, pp.29-41.
Zhong, R.Y., Peng, Y., Xue, F., Fang, J., Zou, W., Luo, H., Ng, S.T., Lu, W., Shen, G.Q. and     Huang, G.Q., 2017. Prefabricated construction enabled by the Internet-of-Things.     Automation in Construction, 76, pp.59-70.

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