The evaluation of facilities intelligence: An ANP-driven approach

  • Zhen Chen
  • , Atulya K. Nagar

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a novel method for evaluating facilities in regard to their designed intelligence. Facilities intelligence is defined as the designed capacity of a facility to acquire and process data and information to perform its adaptability to life-cycle circumstance changes in terms of people's requirements of well-being and energy efficiency. This definition is then formulated to quantify the Index of Facilities Intelligence, the level of facilities intelligence, and the reliability of facilities evaluation. STEEP (social, technical, economic, environmental, and policy) criteria and their sub-criteria are used to set up an ANP (analytic network process) model, and ANP result such as synthesized priority weights is then used to calculate those parameters related to facilities intelligence. An experimental case study is given to prove the effectiveness of applying the proposed method to evaluate the intelligence of facilities in practice. © 2009 IEEE.

    Original languageEnglish
    Title of host publicationProceedings - International Conference on Developments in eSystems Engineering, DeSE 2009
    Pages59-65
    Number of pages7
    DOIs
    Publication statusPublished - 2009
    Event18th International Conference on Developments in eSystems Engineering 2025 - Bucharest, Romania
    Duration: 10 Nov 202512 Nov 2025

    Conference

    Conference18th International Conference on Developments in eSystems Engineering 2025
    Abbreviated titleDeSE 2025
    Country/TerritoryRomania
    CityBucharest
    Period10/11/2512/11/25

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Buildings
    • Evaluation
    • Facilities
    • Infrastructures
    • Intelligence
    • Intelligent systems

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