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Application Of Big Data Analytics For Project Planning In Construction Environment In China

Posted on:2020-08-31Degree:MasterType:Thesis
Country:ChinaCandidate:Numan Khan AfridiFull Text:PDF
GTID:2428330572987863Subject:Project management
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In recent years'huge number of technological advancement occurred in business developments,planning and decision making structures.Firms tends to be driven by data and information to make any possible changes and application of certain concepts in their structural domains.Health,defense,business,IT are considered to be the earlier adopters of advance analytical platforms to develop their business by getting useful insights.According to 2009 survey by TDWI(Transforming Data with Intelligence)38%of firms worldwide use advance analytical techniques to gain useful insights and plans accordingly while 85%are considering to apply in the coming years.Architecture,Engineering and Construction industries(AEC)are also relying on these analytical technologies such as big data analytics because of its overwhelming impact in better management of projects.Olsson et.al.in 2015 said that big data is very useful in evaluation of projects and over project management framework.Big data analytics is a platform of analysis in which huge amount and variety of data is gathered from projects,that can be structured and unstructured in form of pictures,real time information such as text messages,scientific data and so on.After gathering the data through different platforms such as Hadoop,else the data is analyzed and insights are taken for planning and decision making.This miscellaneous dynamic nature of big data analytics provides assistance in planning's of projects.To comprehend the overall scenario of big data analytics the study was conducted to find out the challenges firms faces in application big data analytics and what they things about its impact and usefulness and last how they see the future of big data analytics in construction industries.They study recorded 72 responses from several construction companies,building,road and plants construction firms.The recorded result was analyzed through smart PLS by establishing relation between several factors that represents,the challenges,benefits,and the way forward for big data analytics in the construction industry.The study finds out that budget and technical know how are the major challenges and big data helps in better designing,performance and operations overall by giving an edge through forecasting in allocation of resources such as machinery etc.to sites which lower down costs.Besides the huge challenges it is observed that big data analytics can play a vital role in projects planning.
Keywords/Search Tags:Construction
PDF Full Text Request
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