Supervised learning algorithms for manpower analytics in smart maintenance - A review

Siti Syakirah Ahmad Shaharuddin; Abdurrahman Jalil; Nor Akmar Mohd Yahya

doi:10.1063/5.0134153

Supervised learning algorithms for manpower analytics in smart maintenance - A review

Siti Syakirah Ahmad Shaharuddin
, Abdurrahman Jalil
, Nor Akmar Mohd Yahya

University Malaysia of Computer Science & Engineering (UNIMY)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In smart manufacturing, smart maintenance is becoming increasingly intelligent as a result of developments in computing such as big data applications, machine learning and cloud computing. This smart maintenance uses modern computing technologies, for examples big data applications, Internet of Things (IoT) and mobile solutions to assure that all production equipment functions and available at maximum efficiency at all times. One of the important aspects of smart maintenance is manpower analytics used in manpower planning on the smart maintenance project. This paper reviews the main supervised learning algorithms which are commonly implemented in the existing manpower analytics models. The findings of this review will be the basis in proposing a manpower analytics model for smart maintenance in smart manufacturing.

Original language	English
Title of host publication	Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society
Editors	Nor Azlinah Md Lazam, Salwani Mohd Daud, Mohd Helmy Abd Wahab
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735444898
DOIs	https://doi.org/10.1063/5.0134153
Publication status	Published - 22 May 2023
Externally published	Yes
Event	1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society, ICDiTS 2021 - Virtual, Online Duration: 26 Jan 2022 → 27 Jan 2022

Publication series

Name	AIP Conference Proceedings
Volume	2808
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society, ICDiTS 2021
City	Virtual, Online
Period	26/01/22 → 27/01/22

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1063/5.0134153

Cite this

Shaharuddin, S. S. A., Jalil, A., & Yahya, N. A. M. (2023). Supervised learning algorithms for manpower analytics in smart maintenance - A review. In N. A. Md Lazam, S. M. Daud, & M. H. A. Wahab (Eds.), Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society Article 040005 (AIP Conference Proceedings; Vol. 2808). American Institute of Physics Inc.. https://doi.org/10.1063/5.0134153

Shaharuddin, Siti Syakirah Ahmad ; Jalil, Abdurrahman ; Yahya, Nor Akmar Mohd. / Supervised learning algorithms for manpower analytics in smart maintenance - A review. Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society. editor / Nor Azlinah Md Lazam ; Salwani Mohd Daud ; Mohd Helmy Abd Wahab. American Institute of Physics Inc., 2023. (AIP Conference Proceedings).

@inproceedings{3b6a69e25a7a4ae9a0631782eaa3d8d4,

title = "Supervised learning algorithms for manpower analytics in smart maintenance - A review",

abstract = "In smart manufacturing, smart maintenance is becoming increasingly intelligent as a result of developments in computing such as big data applications, machine learning and cloud computing. This smart maintenance uses modern computing technologies, for examples big data applications, Internet of Things (IoT) and mobile solutions to assure that all production equipment functions and available at maximum efficiency at all times. One of the important aspects of smart maintenance is manpower analytics used in manpower planning on the smart maintenance project. This paper reviews the main supervised learning algorithms which are commonly implemented in the existing manpower analytics models. The findings of this review will be the basis in proposing a manpower analytics model for smart maintenance in smart manufacturing.",

author = "Shaharuddin, \{Siti Syakirah Ahmad\} and Abdurrahman Jalil and Yahya, \{Nor Akmar Mohd\}",

note = "Publisher Copyright: {\textcopyright} 2023 Author(s).; 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society, ICDiTS 2021 ; Conference date: 26-01-2022 Through 27-01-2022",

year = "2023",

month = may,

day = "22",

doi = "10.1063/5.0134153",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "\{Md Lazam\}, \{Nor Azlinah\} and Daud, \{Salwani Mohd\} and Wahab, \{Mohd Helmy Abd\}",

booktitle = "Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society",

}

Shaharuddin, SSA, Jalil, A & Yahya, NAM 2023, Supervised learning algorithms for manpower analytics in smart maintenance - A review. in NA Md Lazam, SM Daud & MHA Wahab (eds), Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society., 040005, AIP Conference Proceedings, vol. 2808, American Institute of Physics Inc., 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society, ICDiTS 2021, Virtual, Online, 26/01/22. https://doi.org/10.1063/5.0134153

Supervised learning algorithms for manpower analytics in smart maintenance - A review. / Shaharuddin, Siti Syakirah Ahmad; Jalil, Abdurrahman; Yahya, Nor Akmar Mohd.
Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society. ed. / Nor Azlinah Md Lazam; Salwani Mohd Daud; Mohd Helmy Abd Wahab. American Institute of Physics Inc., 2023. 040005 (AIP Conference Proceedings; Vol. 2808).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Supervised learning algorithms for manpower analytics in smart maintenance - A review

AU - Shaharuddin, Siti Syakirah Ahmad

AU - Jalil, Abdurrahman

AU - Yahya, Nor Akmar Mohd

PY - 2023/5/22

Y1 - 2023/5/22

N2 - In smart manufacturing, smart maintenance is becoming increasingly intelligent as a result of developments in computing such as big data applications, machine learning and cloud computing. This smart maintenance uses modern computing technologies, for examples big data applications, Internet of Things (IoT) and mobile solutions to assure that all production equipment functions and available at maximum efficiency at all times. One of the important aspects of smart maintenance is manpower analytics used in manpower planning on the smart maintenance project. This paper reviews the main supervised learning algorithms which are commonly implemented in the existing manpower analytics models. The findings of this review will be the basis in proposing a manpower analytics model for smart maintenance in smart manufacturing.

AB - In smart manufacturing, smart maintenance is becoming increasingly intelligent as a result of developments in computing such as big data applications, machine learning and cloud computing. This smart maintenance uses modern computing technologies, for examples big data applications, Internet of Things (IoT) and mobile solutions to assure that all production equipment functions and available at maximum efficiency at all times. One of the important aspects of smart maintenance is manpower analytics used in manpower planning on the smart maintenance project. This paper reviews the main supervised learning algorithms which are commonly implemented in the existing manpower analytics models. The findings of this review will be the basis in proposing a manpower analytics model for smart maintenance in smart manufacturing.

UR - https://www.scopus.com/pages/publications/85161512044

U2 - 10.1063/5.0134153

DO - 10.1063/5.0134153

M3 - Conference contribution

AN - SCOPUS:85161512044

T3 - AIP Conference Proceedings

BT - Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society

A2 - Md Lazam, Nor Azlinah

A2 - Daud, Salwani Mohd

A2 - Wahab, Mohd Helmy Abd

PB - American Institute of Physics Inc.

T2 - 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society, ICDiTS 2021

Y2 - 26 January 2022 through 27 January 2022

ER -

Shaharuddin SSA, Jalil A, Yahya NAM. Supervised learning algorithms for manpower analytics in smart maintenance - A review. In Md Lazam NA, Daud SM, Wahab MHA, editors, Proceedings of the 1st International Conference on Frontiers of Digital Technology Towards a Sustainable Society. American Institute of Physics Inc. 2023. 040005. (AIP Conference Proceedings). doi: 10.1063/5.0134153

Supervised learning algorithms for manpower analytics in smart maintenance - A review

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this