influence of AI and ML in the Manufacturing Industry – Observation

  • It is an eternal manufacturing goal: to produce more and better quality products at the lowest cost.
  • Artificial Intelligence (AI) Plays many roles in construction. It is inseparable from the Industrial Internet of Things (IIOT), which advances Industry 4.0.
  • there is no doubt that AI technology Used by over 60% construction companies. AI in manufacturing minimizes downtime while ensuring high quality final products.

  • ,smart mobile app for construction“The revolution has enabled manufacturers to achieve this more successfully than ever before – and one of the main technologies driving this new wave of innovation is industrial artificial intelligence.
  • Data has become an extremely valuable resource, and it is cheaper than ever to collect and store it. today, thanks artificial intelligence—especially machine learning—more and more manufacturers are using this data to dramatically improve their profits.
  • According to Forbes, one of the major problems is data infrastructure, Data infrastructure struggles with the massive influx of data that is generated daily as products move from one area to another floor or factory to destination.
  • Many manufacturers are still trying to run their business with older systems.
  • However, the need for more information sharing, collaboration and connectivity is clear as a bell.
  • In fact, manufacturers working in silos struggle to innovate and are more vulnerable to disruption than manufacturers who don’t. digital transformation journey.
  • And while digital technologies like AI/ML help create sustainability and remove barriers, adoption is often slow.

How can AI/ML help process plants?

Process plants rely on AI to integrate, analyze and manufacture information Deep insights and predictions Which facilitates higher decision making across the board. Mill is the form of AI that crunches huge datasets to identify patterns and trends, then uses them to build models that predict what is available over the long term.

ML enables plants to predict demand fluctuations and estimate the simplest intervals to schedule maintenance and provide early signs of anomalies. with the help of AI and MLManufacturing plants can:

  • To save money, look for alternative cost savings and minimize waste.
  • Recognize market trends and changes
  • Comply with regulations and industry standards, improve safety and reduce environmental impact
  • Identify and eliminate bottlenecks in the manufacturing process.
  • Increase visibility in the supply chain and distribution network
  • Detect early signs of malfunctions or inconsistencies with the aim of reducing downtime and expediting repairs.
  • Help promote more accurate root cause analysis

How did Optisol help one of the leading manufacturers streamline a part of their process by using AI/ML technology?

  • Stream wise reports for each of the main manufacturing plants as well as for each of the individual processing plants.
  • Module to update target KPIs for each stream and plant
  • Section-wise and plant-wise daily entry of actual KPIs based on group and equipment.
  • Dashboard to view plant level performance on monthly, weekly and date range basis and for producer level based on each stream like fuel, power, manpower etc.
  • Modules for viewing the best performing plants, groups, and variations with the top three performers highlight and display the ranks for each plant and subgroup.
  • Ability to set WIP adjustments against target and actual to increase the efficiency of processing plants.

How big is AI and ML in the manufacturing sector?

According to Presidency Research, the artificial intelligence (AI) market size is projected to cross approximately US$ 1,597.1 billion by 2030 and is expanding at a CAGR of 38.1% from 2022 to 2030.