EIPRMJ 2022
DOI: 10.56614/eiprmj.v11i1.229
|View full text |Cite
|
Sign up to set email alerts
|

Textile Industry 4.0 Transformation for Sustainable Development: Prediction in Manufacturing & Proposed Hybrid Sustainable Practices

Dr. Bharati Rathore

Abstract: In today’s scenario textile industry is playing the biggest role in the world’s main sources of industry pollution and making the environment issues main concern across the globe. The innovation of technology has paved the path for textile industry transformation with the help of industry 4.0. This research article proposes the combination of proposed hybrid sustainable practices and textile industry 4.0 transformation strategies for green & smart sustainable future… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 17 publications
(15 citation statements)
references
References 62 publications
0
14
0
1
Order By: Relevance
“…Generative AI can contribute to IAQ management by analyzing sensor data and environmental conditions to propose adjustments to the HVAC system (Oviedo-Trespalacios et al, 2023;Rathore, 2023). For example, when elevated levels of airborne pollutants are detected, ChatGPT can recommend increasing the ventilation rate, modifying air filtration settings, or even suggesting the deployment of air purifiers.…”
Section: Management Of Indoor Air Qualitymentioning
confidence: 99%
“…Generative AI can contribute to IAQ management by analyzing sensor data and environmental conditions to propose adjustments to the HVAC system (Oviedo-Trespalacios et al, 2023;Rathore, 2023). For example, when elevated levels of airborne pollutants are detected, ChatGPT can recommend increasing the ventilation rate, modifying air filtration settings, or even suggesting the deployment of air purifiers.…”
Section: Management Of Indoor Air Qualitymentioning
confidence: 99%
“…Just two months after its launch, ChatGPT became the fastest-growing consumer application in history (Hu, 2023), and almost immediately proved potential applicability in policymaking and within a variety of industries, including manufacturing, construction and healthcare, to name just a few (Baldini et al, 2023; Biswas, 2023; Kung et al, 2023; Prieto et al, 2023; Rathore, 2023). The advanced chatbot demonstrates a wide range of abilities, suggesting it can be used to augment or replace humans in a range of complex tasks, such as coding (Gewirtz, 2023), identification of legal strategies on behalf of litigation lawyers (Iu and Wong, 2023) and medical research and decision making (Cascella et al, 2023), and, as a result, create significant disruption in the labor markets (Hatzius et al, 2023).…”
Section: Chatgpt and The Implications For Industrymentioning
confidence: 99%
“…Despite pressing concerns regarding its hallucinations, biases, privacy issues, so-called ‘industrial capture’, and potential grave abuses (Ahmed et al, 2023; Alkaissi and McFarlane, 2023; Allen et al, 2023; Borji, 2023; Foroohar, 2023; Goldstein et al, 2023; Schramowski et al, 2022), ChatGPT showcases capabilities that seem superior in breadth and depth next to human skills: most evident is its relative ‘fluency’ in 24 languages (OpenAI, 2023b). The public release in November 2022 of the current free version of ChatGPT, based on the GPT-3.5 technology, generated significant academic interest in possible applications of the new technology in policymaking and a variety of industries such as manufacturing, construction, and healthcare (Baldini et al, 2023; Biswas, 2023; Kung et al, 2023; Prieto et al, 2023; Rathore, 2023). It furthermore reignited an age-old debate on the impact of disruptive technologies on occupations and the labor market (Eloundou et al, 2023; Felten et al, 2023; Hatzius et al, 2023; Iu and Wong, 2023; Taecharungroj, 2023), and instigated a novel, vibrant discussion on the immediate opportunities offered and challenges posed by powerful and readily-accessible generative AI to the education industry (Arif et al, 2023; Baidoo-Anu and Owusu Ansah, 2023; Bozkurt et al, 2023; Cotton et al, 2023; Crawford et al, 2023; Halaweh, 2023; Kasneci et al, 2023; King and ChatGPT, 2023; Luan et al, 2023; Lund and Wang, 2023; Mhlanga, 2023; Opara et al, 2023; Qadir, 2022; Rospigliosi, 2023; Rudolph et al, 2023; Susnjak, 2022; Tlili et al, 2023; Zhai, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Generic benefits and risks are well reviewed in (Ray, 2023). More specific to the industrial domain, are publications such as which suggest many relevant tasks such as demand forecasting, logistics, inventory management and supply chain risk management (Bahrini et al, 2023;Chowdhury et al, 2023), uses for engineering education (Qadir, 2023) and manufacturing (Wang, Anwer, Dai, & Liu, 2023;Rathore, 2023).…”
Section: Benefits and Risksmentioning
confidence: 99%