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What are the top challenges of Smart Production Management?

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The top challenges of Smart production management are:-

  • Data management- The collection and analysis of large amounts of data are relied on with the support of Smart production management. Companies can be challenged that are not equipped with the necessary infrastructure and expertise for managing and analyzing the data.
  • Smart production management requires the integration of new technologies with existing manufacturing systems. It is quite challenging if the existing systems are outdated or not compatible with new technologies.
  • The workforce is required by Smart production management for training in the use of new technologies such as AI and machine learning. The challenge is with an aging workforce or struggles for attracting and retaining skilled workers.

Some of the real-world examples of smart production management are:-

  • Siemens is a leading provider of smart production management solutions. The platform called the Siemens Digital Enterprise Suite, integrates data from machines, sensors, and other sources for optimizing the manufacturing process. The platform also uses advanced analytics for identifying inefficiencies and areas for improvement with real-time insights for helping manufacturers to make better decisions.
  • Bosch, is a leading provider with the platform providing the Bosch IoT Suite for manufacturing, enabling manufacturers for collecting and analyzing data from machines and sensors. The platform also uses a machine-learning algorithm for identifying patterns and anomalies in the data and providing recommendations to improve the manufacturing process.
  • General Electric, is a leading provider with a platform called Predix for collecting and analyzing data from machines and sensors to provide insights into the manufacturing process. The machine learning algorithm allows the prediction of equipment failures and maintenance needs to provide recommendations for optimizing the manufacturing process.
  • Foxconn is a leading manufacturer of electronics products such as Appleā€™s iPhone. The company uses AI and machine learning for optimizing the manufacturing process to reduce waste, improve quality control and increase productivity.

 However, smart production management is not a one-size-fits solution as the company needs to provide unique production processes and requirements that must be tailored for meeting the needs.

In the manufacturing industry, smart production management is a key trend for enabling the increased use of advanced technologies such as AI, IoT, and machine learning.

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