AI in Manufacturing Industry | What to upskilled w.r.t AI
Last updated on January 1st, 2024 at 04:07 pm
AI in Manufacturing Industry | What to upskilled w.r.t AI
Hello readers! Today we will be discussing on AI in Manufacturing Industry. In the future artificial intelligence will be taken vital roles in the manufacturing industry, not only the manufacturing industry any other industry as well. So, it’s most important to upskill ourself with respect to time and the situation of the market. AI will also be taking a very important place in industry revolutions like industry revolution 4.0, 5.0 (Industry 4.0). Hence it is very important to know about the penetration of AI in many domains and functions in the manufacturing industry including advantages, disadvantages, applications, and what we need to upgrade our self w.r.t AI perspective.
Advantages of AI in Manufacturing Industries:
Below are some advantages but not limited to;
- Efficiency and effectiveness will be increased
- High production and productivity.
- Smart factory
- Cost reduction.
- High business turnover
- Less human touch
- Best data analysis and decision-making through ML and AI.
- Repeated jobs can be done by robots
- Smart and digital SRM, SCM, and inventory management.
- Advanced and statically QC and QA activities and many more points
The coin has two sides, similarly, everything has advantages and disadvantages inline so here also we will discuss about some disadvantages point but these are not limited to;
Disadvantages of AI in manufacturing industry:
- The high initial cost of implementation
- Data privacy and security issues
- Fully technology dependency
- Job losses for the workforce
- Production loss if there is a major malfunctioning of technology
As many people know AI is taking penetrating in all the processes of activities in many industries and people are worried about their jobs and activities but you can apply the AI in your work domain to improve productivity and efficiency. You can adopt the and upskill yourself in line with the application or full domain in AI.
We are going to know a little more details about the what and where AI may be taken as a vital point in application in the manufacturing industry in the future.
Some AI application areas in manufacturing industries are like;
- Quality checking and QA (Quality 4.0, 5.0, etc.)
- ML application.
- Smart factory
- Big data application
- Data science- analysis
- Digitalization (Digital factory)
- Digital operations like SCM, SRM, Logistics, and Inventory management are controlled fully digitally
- AI-based Robots
- Factory operation through IOT.
- IT operation
- Design
- Smart warehouse management
- Process automation
- Visual inspection and quality control.
- Cyber security
- Blockchain, etc.
- Automated Tasks
- Facial Recognition
- Cloud computing
- Chatbots, etc.
In one line we can say that AI and Industry 4.0 can change the entire scenario of the factory and its manufacturing operation methods. The repeated job can easily be done by AI-based robots, QA and QC activities will be done by itself machines through AI-based and by ML applications. Accuracy and visual inspection done by the workforce can be improved and advanced. IOT will take the smart area in the factory for connectivity and other factors. But as an employee like us, those who are working in AI-affected areas can easily be replaced but we can take the appropriate action before it affects to our work domain.
What should you do if you think your current job may be replaced by AI in the future?
I personally think that If I will be there in the same situation then, first of all, I need to understand the AI penetration in my work domain. I will look into the application of AI tools and if required then need to upskill myself fully in the AI-based domain. it may be difficult to change my domain into AI-based but for a better future and survival purpose, I have to adopt it.
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About Author
TECHIEQUALITY
The Author is an Expert in Quality Management System, Operation Management, Business Excellence, Process Excellence, IATF 16949, ISO 9001, ISO 14001, ISO 45001, ISO 17025, TQM, TPM & QA. He is Certified as an IA for ISO 9001, IATF 16949, ISO 14001, ISO 17025 & ISO 45001 Standard.