Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural Model
An increasing focus has been placed on clean energy, carbon neutrality, carbon footprint monitoring, and adaptation of building information modeling (BIM)-based facility management (FM). Hence, there is also a growing demand to evaluate and prioritize which BIM applications are the most relevant to...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/13/12/3064 |
| _version_ | 1797381747990593536 |
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| author | James K. C. Chen Han-Hsi Ho |
| author_facet | James K. C. Chen Han-Hsi Ho |
| author_sort | James K. C. Chen |
| collection | DOAJ |
| description | An increasing focus has been placed on clean energy, carbon neutrality, carbon footprint monitoring, and adaptation of building information modeling (BIM)-based facility management (FM). Hence, there is also a growing demand to evaluate and prioritize which BIM applications are the most relevant to FM and are the most beneficial in the asset lifecycle, particularly in the operations stage. To inform BIM-FM application on smart hospital management, this research introduces a one-systems method through an interpretive structural model (ISM) to establish a structural contextual interrelationship between BIM uses in the operations stages of the asset. Through a literature review, this research first summarizes facility management functionalities achievable by BIM-FM and establishes their pairwise contextual relationship. A structural self-interaction matrix (SSIM) is then established, followed by partitioning these functionalities into separate levels to form the ISM model, while using driving power and dependence to form a MICMAC analysis matrix. The finding that the BIM uses “Environmental Monitoring and Building Performance” is the foundation that enables the other functionalities whilst validating that ad-hoc operations and maintenance activities enablement has the highest driving power, and automation and robotics have the highest dependency. Among the applications, energy monitoring plays a pivotal and transitional role with a strong dependency between airflow monitoring and solar monitoring, while its performance would directly impact emergency responses. |
| first_indexed | 2024-03-08T20:55:56Z |
| format | Article |
| id | doaj.art-9d79b867df144cf381ff61f3a057fd84 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-08T20:55:56Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-9d79b867df144cf381ff61f3a057fd842023-12-22T13:58:21ZengMDPI AGBuildings2075-53092023-12-011312306410.3390/buildings13123064Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural ModelJames K. C. Chen0Han-Hsi Ho1Department of Business Administration, Asia University, Taichung 413, TaiwanDepartment of Business Administration, Asia University, Taichung 413, TaiwanAn increasing focus has been placed on clean energy, carbon neutrality, carbon footprint monitoring, and adaptation of building information modeling (BIM)-based facility management (FM). Hence, there is also a growing demand to evaluate and prioritize which BIM applications are the most relevant to FM and are the most beneficial in the asset lifecycle, particularly in the operations stage. To inform BIM-FM application on smart hospital management, this research introduces a one-systems method through an interpretive structural model (ISM) to establish a structural contextual interrelationship between BIM uses in the operations stages of the asset. Through a literature review, this research first summarizes facility management functionalities achievable by BIM-FM and establishes their pairwise contextual relationship. A structural self-interaction matrix (SSIM) is then established, followed by partitioning these functionalities into separate levels to form the ISM model, while using driving power and dependence to form a MICMAC analysis matrix. The finding that the BIM uses “Environmental Monitoring and Building Performance” is the foundation that enables the other functionalities whilst validating that ad-hoc operations and maintenance activities enablement has the highest driving power, and automation and robotics have the highest dependency. Among the applications, energy monitoring plays a pivotal and transitional role with a strong dependency between airflow monitoring and solar monitoring, while its performance would directly impact emergency responses.https://www.mdpi.com/2075-5309/13/12/3064building information modelling (BIM)facility management (FM)smart hospitalInterpretive Structural Model (ISM)carbon emissionbuilding performance |
| spellingShingle | James K. C. Chen Han-Hsi Ho Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural Model Buildings building information modelling (BIM) facility management (FM) smart hospital Interpretive Structural Model (ISM) carbon emission building performance |
| title | Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural Model |
| title_full | Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural Model |
| title_fullStr | Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural Model |
| title_full_unstemmed | Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural Model |
| title_short | Asset Resource Optimization Solution for Smart Hospital Facilities and Energy Management through an Interpretive Structural Model |
| title_sort | asset resource optimization solution for smart hospital facilities and energy management through an interpretive structural model |
| topic | building information modelling (BIM) facility management (FM) smart hospital Interpretive Structural Model (ISM) carbon emission building performance |
| url | https://www.mdpi.com/2075-5309/13/12/3064 |
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