Artificial Intelligence Future and Present in Manufacturing Industry Artificial intelligence in manufacturing is not a future thing, it is a matter of today. We are accustomed to using AI in our daily lives with Apple's Siri and Amazon's Echo. AI has made tremendous progress with improved processing, algorithms and a lot of data help. With advanced machine learning, this data can be analyzed and gained critical insights, helping future projects focus on consumer behavior.
Next-gen AI-powered industries have increased lean inventories, reduced production glitches, cheaper labor costs, unplanned downtime, and production speeds. With AI in manufacturing, we are basically talking about networkconnected factories, where the design team, the production line, and the quality control integrate well into a clever machine and produce useful insights. Manufacturing automation involves a complex and detailed process of producing material.
AI and automation are hot topics for future manufacturing companies. With Artificial intelligence in manufacturing and automation-based technologies, the manufacturer can improve efficiency, streamline processes and even optimize operations. This can reduce production costs by 20%, of which 70% comes from improved resource productivity. Transportation and logistics companies are at the forefront of the adoption of AI and automation. While companies in developing countries are more enthusiastic about these benefits, industrialized countries have a different view. AI and automation change the value chain from end-to-end. This change will greatly affect the operations of the company. These factors enhance existing levers that help improve productivity. The adoption of AI and manufacturing automation significantly alters the composition of the workforce, e.g., heavily supporting all quality control work that requires intensive human support. Currently, factories automate processes and machinery through a sustainable approach. In the future, AI and automation in the manufacturing industry will create intelligent decision-making in unexpected situations. In the current scenario, robots cannot select an item from an unordered component bin, but AIsupported robots can do the same in the future.