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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0

This project is to propose Malaysian industrial companies' excellent application of machine learning assists with Green 4.0. It will provide businessanalytic methodologies, industry 4.0 concept and sustainability 4.0. This will beillustrated through the problem statements of lacking research a...

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Main Author: Chong, Agnes Wen Lin
Format: Final Year Project / Dissertation / Thesis
Published: 2023
Subjects:
HT Communities. Classes. Races
T Technology (General)
TS Manufactures
Online Access:http://eprints.utar.edu.my/6009/1/fyp_IB_2023_CAWL.pdf
http://eprints.utar.edu.my/6009/
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spelling my-utar-eprints.60092024-01-02T16:07:18Z Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0 Chong, Agnes Wen Lin HT Communities. Classes. Races T Technology (General) TS Manufactures This project is to propose Malaysian industrial companies' excellent application of machine learning assists with Green 4.0. It will provide businessanalytic methodologies, industry 4.0 concept and sustainability 4.0. This will beillustrated through the problem statements of lacking research and technologiesofeffective use in AI for Malaysia manufacturers, the accuracy of resources supplyinsustainability 4.0 and the issue of faults detection in the high speed of changingmachine operating environments. The research aims to investigate the relationshipbetween effective use of adopting business analytics in the manufacturing industry. Thus, the secondary objective is to learn about the model including innovation, enterprise, and Ecological. Framework can facilitate the performanceofManufacturing Firms. The purpose is to interpret the implementation of businessanalytic ultimately affects the overall performance of the organization. and creatingafeasible framework. Model interpreted according to an effective use theoryandbusiness analytic to form theoretical framework in advancing accuracy and reliabilityof manufacturing process using PLS-SEM solutions after collecting data throughdevelop a Google survey form to reduce iterations of complicated data, predict andenhance complexity of performance, and differentiate the day-to-dayhumanbehaviour. In this project, Fornell-Larker parameters are used to test the measurement algorithm for the research's discriminant validity. 380 valid questionnaires returnedback and conducted the calculation of the algorithm's assessment to constructs' validity and realibility assessment, discriminant validity using HTMTand Fornell-Larker approaches. Variance inflation factor analysis and hypothesis testing analysisevaluated for determine variables affecting business analytics adoption for furtherresearch study about suggestions and direction of industrial sector. 2023-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6009/1/fyp_IB_2023_CAWL.pdf Chong, Agnes Wen Lin (2023) Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0. Final Year Project, UTAR. http://eprints.utar.edu.my/6009/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic HT Communities. Classes. Races
T Technology (General)
TS Manufactures
spellingShingle HT Communities. Classes. Races
T Technology (General)
TS Manufactures
Chong, Agnes Wen Lin
Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
description This project is to propose Malaysian industrial companies' excellent application of machine learning assists with Green 4.0. It will provide businessanalytic methodologies, industry 4.0 concept and sustainability 4.0. This will beillustrated through the problem statements of lacking research and technologiesofeffective use in AI for Malaysia manufacturers, the accuracy of resources supplyinsustainability 4.0 and the issue of faults detection in the high speed of changingmachine operating environments. The research aims to investigate the relationshipbetween effective use of adopting business analytics in the manufacturing industry. Thus, the secondary objective is to learn about the model including innovation, enterprise, and Ecological. Framework can facilitate the performanceofManufacturing Firms. The purpose is to interpret the implementation of businessanalytic ultimately affects the overall performance of the organization. and creatingafeasible framework. Model interpreted according to an effective use theoryandbusiness analytic to form theoretical framework in advancing accuracy and reliabilityof manufacturing process using PLS-SEM solutions after collecting data throughdevelop a Google survey form to reduce iterations of complicated data, predict andenhance complexity of performance, and differentiate the day-to-dayhumanbehaviour. In this project, Fornell-Larker parameters are used to test the measurement algorithm for the research's discriminant validity. 380 valid questionnaires returnedback and conducted the calculation of the algorithm's assessment to constructs' validity and realibility assessment, discriminant validity using HTMTand Fornell-Larker approaches. Variance inflation factor analysis and hypothesis testing analysisevaluated for determine variables affecting business analytics adoption for furtherresearch study about suggestions and direction of industrial sector.
format Final Year Project / Dissertation / Thesis
author Chong, Agnes Wen Lin
author_facet Chong, Agnes Wen Lin
author_sort Chong, Agnes Wen Lin
title Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
title_short Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
title_full Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
title_fullStr Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
title_full_unstemmed Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
title_sort effective use of artificial intelligence by malaysian manufacturing firms to enable sustainability 4.0
publishDate 2023
url http://eprints.utar.edu.my/6009/1/fyp_IB_2023_CAWL.pdf
http://eprints.utar.edu.my/6009/
_version_ 1787140948932689920
score 13.211869

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