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Cost analysis of information technology-assisted quality inspection using activity-based costing

Author

Listed:
  • Yong-Woo Kim
  • Sang-Chul Kim

Abstract

One of the critical factors in quality control is the efficient management of quality field inspections. A method was developed to assess the cost impact of process improvements in construction jobsite management. Through the development of a prototype quality inspection system together with project database and mobile technology, the efficiency of a quality inspection system as a pilot study is examined. A time-driven activity-based costing (ABC) is used in evaluating the quantifying process costs attributable to the implementation of a new field inspection system. Inspection costs were reduced when the current inspection process is replaced by a new inspection prototype process using a project database and mobile technology. The cost analysis results also show that a new approach (1) identifies the inspection activities before and after the re-engineering process; (2) computes the cost driver rate before and after the re-engineering process; and (3) enables the performance of the scenario analysis by manipulating the volume of cost drivers under different scenarios.

Suggested Citation

  • Yong-Woo Kim & Sang-Chul Kim, 2011. "Cost analysis of information technology-assisted quality inspection using activity-based costing," Construction Management and Economics, Taylor & Francis Journals, vol. 29(2), pages 163-172.
    • Handle: RePEc:taf:conmgt:v:29:y:2011:i:2:p:163-172
    DOI: 10.1080/01446193.2010.538708
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    Citations

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    Cited by:

    1. Orsolya Nagy & Ilona Papp & Roland Zsolt Szabó, 2021. "Construction 4.0 Organisational Level Challenges and Solutions," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    2. Ooi, Joseph T.L. & Le, Thao T.T. & Lee, Nai-Jia, 2014. "The impact of construction quality on house prices," Journal of Housing Economics, Elsevier, vol. 26(C), pages 126-138.
    3. Hyunsu Lim & Jin Woong Lee & Taehoon Kim & Kyuman Cho & Hunhee Cho, 2017. "Economic Analysis of USN-Based Data Acquisition Systems in Tall Building Construction," Sustainability, MDPI, vol. 9(8), pages 1-10, August.

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