Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail

Facility Management (FM) is a complex discipline that can benefit from the use of Artificial Intelligence (AI). AI has the potential to revolutionize FM by enabling data-driven decision-making and automation of routine tasks. This article explores the various applications of AI in FM and examines it...

Full description

Saved in:
Bibliographic Details
Main Author: Ismail, Elma Dewiyana
Format: Article
Language:English
Published: Office of the Deputy Vice-Chancellor (Research & Innovation) 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/87489/1/87489.pdf
https://ir.uitm.edu.my/id/eprint/87489/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.87489
record_format eprints
spelling my.uitm.ir.874892023-11-26T00:14:48Z https://ir.uitm.edu.my/id/eprint/87489/ Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail Ismail, Elma Dewiyana Back propagation (Artificial intelligence) Facility Management (FM) is a complex discipline that can benefit from the use of Artificial Intelligence (AI). AI has the potential to revolutionize FM by enabling data-driven decision-making and automation of routine tasks. This article explores the various applications of AI in FM and examines its potential benefits and challenges. Predictive maintenance is one area where AI can be applied in FM. By analyzing data from building systems and equipment, AI can predict when maintenance or repairs will be needed, allowing facility managers to schedule activities efficiently and minimize downtime and repair costs. AI monitors the performance of equipment, such as HVAC systems, elevators, and lighting, and analyzes data like temperature, vibration, noise, and energy consumption to identify potential issues before they become critical. Energy management is another area where AI can be valuable. By analyzing data from various building systems, such as HVAC, lighting, and electrical equipment, AI algorithms can identify patterns and inefficiencies in energy consumption. This enables facility managers to optimize energy usage, reduce costs, and improve sustainability. For example, AI can suggest modifications to improve energy efficiency, such as by installing energy-efficient lighting and adjusting HVAC settings. AI can also predict energy usage patterns and optimize energy usage accordingly. Office of the Deputy Vice-Chancellor (Research & Innovation) 2023-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/87489/1/87489.pdf Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail. (2023) RISE: Catalysing Global Research Excellence <https://ir.uitm.edu.my/view/publication/RISE=3A_Catalysing_Global_Research_Excellence/> (3): 22. pp. 1-4. ISSN 2805-5883
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Back propagation (Artificial intelligence)
spellingShingle Back propagation (Artificial intelligence)
Ismail, Elma Dewiyana
Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail
description Facility Management (FM) is a complex discipline that can benefit from the use of Artificial Intelligence (AI). AI has the potential to revolutionize FM by enabling data-driven decision-making and automation of routine tasks. This article explores the various applications of AI in FM and examines its potential benefits and challenges. Predictive maintenance is one area where AI can be applied in FM. By analyzing data from building systems and equipment, AI can predict when maintenance or repairs will be needed, allowing facility managers to schedule activities efficiently and minimize downtime and repair costs. AI monitors the performance of equipment, such as HVAC systems, elevators, and lighting, and analyzes data like temperature, vibration, noise, and energy consumption to identify potential issues before they become critical. Energy management is another area where AI can be valuable. By analyzing data from various building systems, such as HVAC, lighting, and electrical equipment, AI algorithms can identify patterns and inefficiencies in energy consumption. This enables facility managers to optimize energy usage, reduce costs, and improve sustainability. For example, AI can suggest modifications to improve energy efficiency, such as by installing energy-efficient lighting and adjusting HVAC settings. AI can also predict energy usage patterns and optimize energy usage accordingly.
format Article
author Ismail, Elma Dewiyana
author_facet Ismail, Elma Dewiyana
author_sort Ismail, Elma Dewiyana
title Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail
title_short Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail
title_full Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail
title_fullStr Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail
title_full_unstemmed Maximizing efficiency and sustainability: The role of AI in facility management / Ts. Elma Dewiyana Ismail
title_sort maximizing efficiency and sustainability: the role of ai in facility management / ts. elma dewiyana ismail
publisher Office of the Deputy Vice-Chancellor (Research & Innovation)
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/87489/1/87489.pdf
https://ir.uitm.edu.my/id/eprint/87489/
_version_ 1783882365643259904