By
CIOReview | Friday, October 30, 2020
FREMONT, CA: In the last few years, artificial intelligence is taking progressive steps to improve manufacturing efficiency and lead to better performance with the help of innovations in cloud computing, big data, and analysis. AI even offers crucial information that can help the manufacturers to make informed business decisions. According to market researchers, the growth of the AI market will continue to increase in the future.
The machine automations can rapidly and efficiently produce better quality products while offering important information that the managers can utilize to make a more informed business decision. There are still some hurdles related to it. Several organizations are hesitant to share sensitive production and process data. The difficulty of implementing a tremendous amount of data is still there available from the shop floor and back office to create real time information. Many companies use a middleware platform, a layer of software connecting the clients and back-end systems to link the programs together so that a smart factory works as a unified system. Here are a few ways the manufacturers can use to increase their productivity level by utilizing AI.
1.More accurate demand forecasting
AI and machine learning can help companies to test numerous mathematical models of production and outcome possibilities. It will help them become more accurate in their analysis when adapting new information like sudden changes in demand, new product introduction, and supply chain disruptions. With the help of machine learning, the companies are decreasing their overall inventory. Artificial intelligence will also help the manufacturing companies to increase their efficiency with simple methods like physical inventory. Sophisticated technology like drones can complete various tasks like check misplaces, warehouse, and scan items in less hour than an employee.
2. Predictive maintenance
The companies have started to realize that it is worth investing in predictive maintenance solutions because it can enhance operations’ efficiency and offer an immediate impact on the bottom line. Predictive maintenance also utilizes sensors for tracking the conditions of machines and analyze the data regularly. It helps the companies conduct servicing of the equipment whenever necessary to decrease downtime instead of scheduled service time.
