• Register
  • Login
  • About Us
  • Contact Us
Sunday, March 26, 2023
Kuwait 247 News Club
No Result
View All Result
SUBMIT NEWS
  • HOME
  • BUSINESS
  • ENTERTAINMENT
  • FASHION
  • FOOD
  • HEALTH
  • LIFESTYLE
  • SPORTS
  • TRAVEL
  • AFRICA
  • MIDDLE EAST
  • PRESS RELEASES
  • HOME
  • BUSINESS
  • ENTERTAINMENT
  • FASHION
  • FOOD
  • HEALTH
  • LIFESTYLE
  • SPORTS
  • TRAVEL
  • AFRICA
  • MIDDLE EAST
  • PRESS RELEASES
No Result
View All Result
Kuwait 247 News Club
Submit News
Home PRESS RELEASES

Growing Influence of AI in Smart Manufacturing Industry

NEWSROOM by NEWSROOM
February 22, 2023
in PRESS RELEASES
Share on FacebookShare on Twitter


(EMAILWIRE.COM, February 22, 2023 ) In today’s fast-paced world, technology has made significant advancements and played a crucial role in changing how we live and work. The manufacturing industry is one of the many sectors that have undergone a major transformation thanks to the advent of artificial intelligence (AI). The role of AI in smart manufacturing is immense, and it is driving efficiencies in production, reducing costs, and improving quality. Smart manufacturing refers to the use of advanced technology and real-time data analysis to streamline manufacturing processes and make them more efficient. AI plays a vital role in this process by providing accurate, real-time insights into the manufacturing process. AI algorithms can analyze vast amounts of data in real time and identify patterns, anomalies, and other trends that would be difficult or impossible for humans to detect.

Download PDF Brochure @
https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=72679105

AI can be implemented in many applications. As AI technology continues to evolve, we can expect to see more innovative use cases of AI in smart manufacturing. However, below are some of the important use cases in the ecosystem of AI in Smart Manufacturing:

· Predictive Maintenance: AI can analyze real-time data from machines and equipment to predict when maintenance is required, which helps in reducing downtime, increasing machine lifespan, and improving overall efficiency.

· Quality Control: AI can analyze images and videos of products to detect defects in real-time and helps the operator catch quality issues before they become costly problems.

· Supply Chain Optimization: AI can analyze data on demand & supply, and pricing to optimize supply chain management which helps in increasing overall production efficiency.

· Autonomous Robots: AI-powered robots can perform repetitive or dangerous tasks with precision and speed. This frees up human workers for more complex and value-added tasks.

· Predictive Analytics: AI can analyze large amounts of data from various sources, such as sensors, to predict trends and patterns in production and helps operator make informed decisions.

In the future, we may see artificial intelligence being more integrated into different new technology/equipment. As the development of AI technology is still in process, we may see more integration of technology with AI. Brief details of these technologies have been mentioned below:

· Augmented Reality (AR) And Virtual Reality (VR): AR and VR technologies can be used to create virtual models of manufacturing facilities and production lines, which can help to optimize the layout and improve efficiency. AR and VR can also be used for training, allowing workers to practice tasks in a simulated environment before working with equipment.

· Collaborative Robots: Cobots are equipped with sensors and AI algorithms that allow them to work safely and efficiently alongside humans, increasing productivity and reducing the risk of workplace injuries.

· 3D Printing: AI can be used to optimize the printing process and improve the quality of printed parts. AI algorithms can be used to analyse data from the printing process and make real-time adjustments to improve the quality of the final product.

· Digital Twins: Digital twins are virtual models of physical objects which can be used to simulate different scenarios and test changes to the manufacturing process in the real world. AI algorithms can be used to analyse data from the digital twin and provide insights that can be used to optimize the manufacturing process.

· Edge Computing: Edge computing involves processing data on devices located near the source of the data rather than in a central location. AI algorithms can be used to analyse

data in real-time at the edge, allowing manufacturers to respond to changes in the manufacturing process more quickly.

While AI has the potential to revolutionize smart manufacturing, this also comes with several risks and challenges associated with its implementation. Below are some of the few potential risks and challenges:

· Data Privacy and Security: As AI relies on vast amounts of data, there is a risk that this data could be compromised, either through cyberattacks or data breaches. This could lead to sensitive data being leaked or stolen, potentially causing damage to a company’s reputation and financial losses.

· Dependence on Technology: As AI becomes more prevalent in smart manufacturing, there is a risk that companies become overly dependent on technology. This could lead to a loss of critical skills among workers and an overreliance on automated processes, potentially reducing quality and safety standards.

· Cost: Implementing AI technology in smart manufacturing can be expensive, particularly for smaller companies with limited resources. There is a risk that companies may invest heavily in AI without seeing a sufficient return on investment or that the cost of implementation may be prohibitive for some companies.

· Workforce Changes: The implementation of AI in smart manufacturing is likely to lead to changes in the workforce, with some jobs being eliminated and others being created. This could lead to job displacement and a need for retraining and upskilling.

The end user is using AI to optimize their manufacturing processes and improve efficiency, quality, and productivity. By implementing AI technologies, these end users can reduce downtime, improve the accuracy of their processes, and ultimately improve the quality of their products, which can lead to increased customer satisfaction and improved business outcomes.

· Siemens: Siemens is using AI to improve the efficiency of its manufacturing processes, including predictive maintenance to minimize downtime and machine learning to optimize the use of resources.

· GE Aviation: GE Aviation is a subsidiary of General Electric that produces jet engines for commercial and military aircraft and is using AI to improve the quality of its products by analysing data from its manufacturing processes to identify and correct issues before they become critical.

· BMW: BMW is using AI to optimize its manufacturing processes, including predictive maintenance to reduce downtime and machine learning to improve the efficiency of its production lines.

· Bosch: Bosch is using AI to optimize its manufacturing processes, including predictive maintenance to reduce downtime and machine learning to improve the efficiency of its production lines.

· Jabil: Jabil is a global manufacturing services company that has implemented AI technology in its factories. By using machine learning algorithms to analyse production data, Jabil was able to identify inefficiencies and helps in reducing cycle time.

· PepsiCo: PepsiCo is using machine learning algorithms to analyse data from sensors on production lines; PepsiCo was able to identify equipment that was likely to fail and proactively perform maintenance.

· Rolls-Royce: Rolls-Royce is using machine learning algorithms to analyse data from sensors on its engines; Rolls-Royce was able to predict maintenance needs and schedule maintenance in advance.

Some important major players working towards implementing AI in the manufacturing ecosystem include Siemens, IBM, GE, Intel, Microsoft, Schneider Electric, Honeywell, Rockwell Automation, and NVIDIA. These companies are just a few examples of the many organizations that are working on AI for smart manufacturing. As technology continues to evolve, we expect to see even more companies entering the space that can develop innovative AI solutions for the manufacturing industry. Not only this, but there are also many startup players who have developed innovative products related to AI which can be implemented in the manufacturing ecosystem. These startups are just a few examples of the many organizations that are working on AI for smart manufacturing. This may include Augury, Falkonry, Fero Labs, KONUX, MachineMetrics, Neurala, Precognize, , and Sight Machine.

Further, if we look at the recent AI development, many tools have been developed similar to ChatGPT, which is developed by OpenAI and Microsoft; and Bard, developed by Google. If this tool is implemented in the smart manufacturing ecosystems, it will help in several ways, such as quality control, predictive maintenance, production planning, and training & education. Development of such tools in the future is expected, especially for manufacturing ecosystems, which helps increase manufacturing companies’ production.

We at MarketsandMarkets have developed a 360 understanding of artificial intelligence and its related technology. Below are a few of the associated studies:

Artificial Intelligence in Supply Chain Market
Artificial Intelligence Robots Market
Artificial Intelligence Market



Source link

Previous Post

Globitel’s SpeechLog Retail solution adopted by one of Kuwait’s largest telecom operators in record-fast roll-out

Next Post

GCC Data Center Market Report 2023-2028: Investment … – Business Wire

Related News

Award Ceremony Celebrates Best in LGBTQ Culture and Media!

Award Ceremony Celebrates Best in LGBTQ Culture and Media!

by NEWSROOM
March 20, 2023

   (EMAILWIRE.COM, March 20, 2023 ) LOS ANGELES - The top LGBTQ performers, celebrities and influentials turned out for another fabulous...

Network Transformation Market expected to grow at a CAGR of 41.7 percent during the forecast period

Network Transformation Market expected to grow at a CAGR of 41.7 percent during the forecast period

by NEWSROOM
March 20, 2023

 (EMAILWIRE.COM, March 20, 2023 ) Pune 8 Mar 2023: As per the Maximize Market research, a global business and consultancy...

Air Motor Market expected to hit USD 1.08 Bn by 2029 during the forecast period

Air Motor Market expected to hit USD 1.08 Bn by 2029 during the forecast period

by NEWSROOM
March 20, 2023

 (EMAILWIRE.COM, March 20, 2023 ) Pune 7 Mar 2023: As per the Maximize Market research, a global business and consultancy...

Electrolyzers Market worth $23.6 Billion by 2028

Electrolyzers Market worth $23.6 Billion by 2028

by NEWSROOM
March 20, 2023

 (EMAILWIRE.COM, March 20, 2023 ) The global Electrolyzers Market is projected to reach USD 23.6 billion in 2028 from USD...

Next Post

GCC Data Center Market Report 2023-2028: Investment ... - Business Wire

ABC and POPSUGAR Celebrate New Series with Private VIP Screening!

ABC and POPSUGAR Celebrate New Series with Private VIP Screening!

Trending News

OmanNews.Club™ Adds to Arab Newswire Media Lists for Press Release Distribution to GCC/MENA Countries

OmanNews.Club™ Adds to Arab Newswire Media Lists for Press Release Distribution to GCC/MENA Countries

August 14, 2022
ZainTech partners with LigaData to deliver data-driven digital services in MENA

ZainTech partners with LigaData to deliver data-driven digital services in MENA

June 16, 2022
MTN Cameroon implements new data analytics and AI solution powered by LigaData

MTN Cameroon implements new data analytics and AI solution powered by LigaData

July 6, 2022

About

Kuwait247.Club™ gathers and publishes business, cultural, socio-economic, Tech and industrial news on Egypt, Middle East and North Africa (MENA).

Press release distribution services:
We provide press release distribution to media in Egypt, the Arab world and the GCC/MENA regions. Submit a press release today or contact us.

Share Us

Category

BUSINESS
ENTERTAINMENT
FASHION
FOOD
HEALTH
LIFESTYLE

SPORTS
TRAVEL
AFRICA
MIDDLE EAST
PRESS RELEASES

Newsletter

    Recent News

    Recent Posts
    • The Dhahab Sports Web 3.0 is going to be the biggest sports digital asset launching for 2023
    • BZR on Coinstore – a Significant Milestone for Bazaars
    • BZR on Coinstore – a Significant Milestone for Bazaars
    • Kaafmeem to Provide VIP Clothing for Saudi Motorsport Company during Formula1 event in KSA.

    Kuwait247.Club™ is part of GroupWeb Media Network. © 2023 GroupWeb Media LLC

    About Us / Contact Us / Submit News

    No Result
    View All Result
    • REGISTER
    • LOGIN
    • HOME
    • BUSINESS
    • ENTERTAINMENT
    • FASHION
    • FOOD
    • HEALTH
    • LIFESTYLE
    • SPORTS
    • TRAVEL
    • MIDDLE EAST
    • PRESS RELEASES
    • ABOUT US
      • CONTACT US

    Kuwait247.Club™ is part of GroupWeb Media Network. © 2023 GroupWeb Media LLC