An Evaluation of Industry 4.0 Capabilities for Sustainable Innovation in Food Sector

The term "Industry 4.0" refers to a paradigm shift in technology and manufacturing. Using cuttingedge technologies like automation, big data analytics, loT, additive manufacturing, cyber physical system this study investigates relationship between 14.0 and sustainability in food sector. The study's objective is to investigate the key advantages on adoption of 14.0 technologies in food industry, with a focus on environmental impact, waste reduction, and resource efficiency. A review of economic, environmental, and social aspects enables the assessment of prospects and obstacles related to sustainable innovation. Important conclusions highlight how crucial it is for technologies like blockchain and loT to improve food supply chains' waste reduction, transparency, and traceability. The research sheds light on the underutilised 14.0 tools in the current food industry landscape by classifying and highlighting their significance. Research highlights the potential of 14.0 to promote environmentally friendly business models, improve operational effectiveness, and support more general sustainability objectives, such as development of innovative green processes. The primary themes centre on how 14.0 models incorporate technology breakthroughs while paying particular attention to sustainability principles. The study also discusses execution barriers, specifically regarding tracking and monitoring products for quality assurance. The consequences for society and economy highlights the 14.O's transformative potential in building a robust and sustainable future for global industries.

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Publication Details

Journal
International Journal of Applied Sciences & Development
Published
2024-12-27
DOI
https://doi.org/10.37394/232029.2024.3.27
Primary Topic
Digital Transformation in Industry
Type
article
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article

An Evaluation of Industry 4.0 Capabilities for Sustainable Innovation in Food Sector

Elmira Naghi Ganji, Satya Shah, Lakshminarayan Balaji
International Journal of Applied Sciences & Development
Digital Transformation in Industry
article

An Evaluation of Industry 4.0 Capabilities for Sustainable Innovation in Food Sector

Elmira Naghi Ganji, Satya Shah, Lakshminarayan Balaji
article en

Abstract

The term "Industry 4.0" refers to a paradigm shift in technology and manufacturing. Using cuttingedge technologies like automation, big data analytics, loT, additive manufacturing, cyber physical system this study investigates relationship between 14.0 and sustainability in food sector. The study's objective is to investigate the key advantages on adoption of 14.0 technologies in food industry, with a focus on environmental impact, waste reduction, and resource efficiency. A review of economic, environmental, and social aspects enables the assessment of prospects and obstacles related to sustainable innovation. Important conclusions highlight how crucial it is for technologies like blockchain and loT to improve food supply chains' waste reduction, transparency, and traceability. The research sheds light on the underutilised 14.0 tools in the current food industry landscape by classifying and highlighting their significance. Research highlights the potential of 14.0 to promote environmentally friendly business models, improve operational effectiveness, and support more general sustainability objectives, such as development of innovative green processes. The primary themes centre on how 14.0 models incorporate technology breakthroughs while paying particular attention to sustainability principles. The study also discusses execution barriers, specifically regarding tracking and monitoring products for quality assurance. The consequences for society and economy highlights the 14.O's transformative potential in building a robust and sustainable future for global industries.

International Journal of Applied Sciences & DevelopmentVol. 3
Royal Holloway University of London (GB), Coventry University (GB)
Openalex Percentile: Top 64%
Digital Transformation in Industry
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