The Future of Big Data Analysis in Facility Management - A Study of Implementation areas

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dc.contributor.authorGranberg, Malcolm
dc.contributor.authorHe, Daniel
dc.contributor.departmentChalmers tekniska högskola / Institutionen för arkitektur och samhällsbyggnadstekniksv
dc.contributor.departmentChalmers University of Technology / Department of Architecture and Civil Engineeringen
dc.date.accessioned2019-07-03T14:52:05Z
dc.date.available2019-07-03T14:52:05Z
dc.date.issued2018
dc.description.abstractThe Facility Management (FM) sector is known to be conservative and have for a long time been struggling with digitalizing their operations. Meanwhile, other sectors have seen it necessary to digitalize and implement different technologies such as Internet of Things (IoT) and Big Data Analysis (BDA) to support streamlining, growth and innovation that are required to stay competitive. BDA is an emerging technology that enables analysis of great volumes, varieties and velocity of data that an ordinary human could not manage within a feasible timeframe. The FM sector have for some time been utilizing sensors to monitor different aspects in a facility, but the data have rarely been used for any evaluation or real time analysis. However, the sector has not adopted these new technologies at the same pace as other sectors. Therefore, the purpose of this thesis was to investigate how BDA can be implemented in FM and what challenges it is facing. This was achieved by conducting interviews with companies in Sweden that are either developing areas of implementation or are working with project related to BDA in FM and was then compared with existing literature. Despite discovering contrasting opinions, the thesis has found several implementation areas where BDA could improve the FM sector, the four major areas are: 1) Energy optimization, 2) Better indoor climate, 3) Space optimization and 4) More efficient maintenance. These areas are possible to implement if the development solves several challenges of which the five major ones have been identified as: 1) Hard to calculate returns, 2) Lack of competence, 3) Lack of standards, 4) Maintaining the digital twin, and 5) Ethical and regulatory questions.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/255834
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectSamhällsbyggnadsteknik
dc.subjectCivil Engineering
dc.titleThe Future of Big Data Analysis in Facility Management - A Study of Implementation areas
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeDesign and construction project management (MPDCM), MSc
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