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Enabling Continuous Improvement in the construction business
KTH, School of Information and Communication Technology (ICT).
2014 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis documents the author’s attempt at capturing the housing inspection experience from the perspective of the inspector, as well as depicting the potential of this model in the domain of continuous improvement (CI).

In order to accomplish this, three research questions were investigated:RQ I: Will a standardized data model for inspection data speed up the delivery of Inspection Protocols?RQ II: What kind of statistics could this standardized data model enable?RQ III: How could this data model further continuous improvement in the construction industry?

The results of this study show that this project has sped up the scheduling and booking processes for booking agents as well as enabled contractors to identify re-occurring problems in their various production phases which in turn enables CI-activities quality control, pro-active quality improvements and identifying system bottlenecks.

Our surveys show that the booking agents have to spend on average 240 minutes scheduling an inspection (B2B) with their current system and 10 minutes with our system. More over, they spend on average 180 minutes creating Inspection Protocols (B2B) with their current system and 1 minute with our system.

At the time of writing this paper, contractors can extract statistics based on the following parameters: Space (i.e. Bathroom), individual components (i.e. Door, door knob, screw in door knob), Sub-contractor, sub-contractor contract (i.e. a sub-contractor might be contracted under a painting or plumbing contract), geographical location, involved parties (i.e. managers, architects, inspectors) or type of building.

Based on the above-mentioned statistics the contractor can make informed decisions about which sub-contractors to use in future projects. More over, he can also target reoccurring defects and incorporate them in the KMA-plan (The Quality Assurance Plan that every new project must have).

Finally the lead-time between booking an inspection and getting statistics on the defects in said inspection has decreased significantly for all involved parties, the booking agents (which can be the inspector himself in small companies) no longer spend hours on scheduling and creating protocols and contractors do not have to manually sort and group defects by sub-contractors and bailiwicks and more importantly contractors get statistics based on standardized defects for the first time in Swedish history and can learn from their mistakes transforming themselves from a reactive to a pro-active organization.

Place, publisher, year, edition, pages
2014. , p. 87
Series
TRITA-ICT-EX ; 2014:203
Keywords [en]
Housing Inspection, Construction Data, Construction Fault Model, Defect Model, Quality Management
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-211508OAI: oai:DiVA.org:kth-211508DiVA, id: diva2:1129549
Subject / course
Information and Software Systems; Information and Software Systems
Educational program
Master of Science - Software Engineering of Distributed Systems; Master of Science in Engineering - Information and Communication Technology
Examiners
Available from: 2017-08-04 Created: 2017-08-04 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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