International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.965-972
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  • 2024
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Exploring the Functional Breakdown Structure (FBS) of Facility Asset Management (FAM) for Smart Factories

  • Zhenhui JIN (College of Architecture, Myongji University) ;
  • Dagem D. GEBREMICHAEL (College of Architecture, Myongji University) ;
  • Seunghee KANG (College of Architecture, Myongji University) ;
  • Yunsub LEE (College of Architecture, Myongji University) ;
  • Youngsoo JUNG (College of Architecture, Myongji University)
  • Published : 2024.07.29
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Abstract

Smart factories represent the Fourth Industrial Revolution and related emerging technologies across all industries. Among those emerging technologies, digital twin (DTw) enables smart manufacturing, resembling the factory's physical components and functional services. Nevertheless, from the owner-operator perspective, there has been only a paucity of studies defining the functional services of 'facility' and 'equipment' for the smart factory. This fact has also encouraged the construction industry to expand its role into factory operations by supporting digitalized production equipment and facilities. In order to address this issue, this study uses the proposed list of three-level facility asset management (FAM) breakdown structure by Jin et al. [12] that is under review for possible publication. The FAM breakdown structure is then validated with function lists from previous studies and existing ISO standards. It selectively covers the areas of traditional construction management (CM), asset management (AM), facility management (FM), and production operation management (OM). A mapping table with practical information systems used in the four areas (CM, AM, FM, OM) is also analyzed to verify the proposed FAM breakdown structure. It is expected that the result of this study can be used as a standard function to develop a smart factory FAM digital twin for researchers and practitioners.

Keywords

Acknowledgement

This research was supported by the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (MSIT) (NRF-2021R1A2C1006997), and the Ministry of Education (MOE) (NRF-2021R1I1A1A01055223 and RS-2023-0024334713582110600001).

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