Artificial Intelligence in Ready-Made Garments Industry of Bangladesh: Practices and Challenges

This research paper examines the utilization of artificial intelligence (AI) and its influence on enhancing business in the RMG industry in Bangladesh. This will be accomplished through a comprehensive study of existing literature and secondary data. The study aims to gain a comprehensive understanding of particular AI technologies, quantify the advantages of AI, and evaluate the obstacles encountered by the RMG industry in adopting AI. Artificial intelligence (AI) has significantly enhanced the efficiency, cost-effectiveness, productivity, customization capabilities, trend prediction accuracy, and sustainability of garment creation. Nevertheless, it gives rise to concerns over unemployment, ensuring consistent standards, safeguarding personal information, reliance on technology and ethical dilemmas. The RMG sector should enhance employee comprehension of AI, seek varied sources of funding and skilled personnel, collaborate with the government to obtain infrastructure assistance and enact legislation, tackle concerns regarding job displacement through training, and foster employee receptiveness to change in order to surmount these challenges. The garments sector in Bangladesh has the potential to enhance its operations and competitiveness by implementing these approaches. This study will provide valuable insights for corporate executives, decision-makers, and academics who are interested in optimizing the capabilities of artificial intelligence and improving business results in Bangladesh.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-09-02
DOI
https://doi.org/10.36948/ijfmr.2024.v06i05.27073
Citations
2
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Ready-Made Garments Industry of Bangladesh: Practices and Challenges

Hillol Saha -
2 citations
International Journal For Multidisciplinary Research
Scheduling and Optimization Algorithms
0.70
article

Artificial Intelligence in Ready-Made Garments Industry of Bangladesh: Practices and Challenges

Hillol Saha -
article en
2 citations

Abstract

This research paper examines the utilization of artificial intelligence (AI) and its influence on enhancing business in the RMG industry in Bangladesh. This will be accomplished through a comprehensive study of existing literature and secondary data. The study aims to gain a comprehensive understanding of particular AI technologies, quantify the advantages of AI, and evaluate the obstacles encountered by the RMG industry in adopting AI. Artificial intelligence (AI) has significantly enhanced the efficiency, cost-effectiveness, productivity, customization capabilities, trend prediction accuracy, and sustainability of garment creation. Nevertheless, it gives rise to concerns over unemployment, ensuring consistent standards, safeguarding personal information, reliance on technology and ethical dilemmas. The RMG sector should enhance employee comprehension of AI, seek varied sources of funding and skilled personnel, collaborate with the government to obtain infrastructure assistance and enact legislation, tackle concerns regarding job displacement through training, and foster employee receptiveness to change in order to surmount these challenges. The garments sector in Bangladesh has the potential to enhance its operations and competitiveness by implementing these approaches. This study will provide valuable insights for corporate executives, decision-makers, and academics who are interested in optimizing the capabilities of artificial intelligence and improving business results in Bangladesh.

International Journal For Multidisciplinary ResearchVol. 6(5)
Openalex Percentile: Top 26%
Scheduling and Optimization Algorithms
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.