Scenario
After the Kobe Steel scandal that shocked the steel industry in 2018, the board of directors (BOD) has explored methods to ensure these types of issues never impact the quality of PMI products. The Kobe Steel scandal had a long-lasting effect on the supply chain channels in the steel industry which PMI relies on. The BOD has requested that you, the chief technical officer, work with the director of operations to form a Quality Committee that will explore PMI seeking the ISO certification to help combat these issues. The committee has been tasked with laying out a standard operating procedure (SOP) for all facilities that will be used as a framework when PMI applies for the ISO certification. The BOD has also asked for artificial intelligence and machine learning solutions that will help ensure that issues at Kobe Steel never impact the quality of PMI’s products.
Instructions
For this assignment, you must prepare a paper that will address how artificial intelligence and machine learning solutions can help ensure that external and internal issues never impact the quality of PMI’s products.
Full Answer Section
Artificial intelligence (AI) and machine learning (ML) are two technologies that can be used to improve quality control. AI is the ability of machines to learn and make decisions without being explicitly programmed. ML is a subset of AI that allows machines to learn from data and improve their performance over time.
How AI and ML can help PMI
AI and ML can be used to help PMI in a number of ways, including:
- Monitoring the supply chain: AI and ML can be used to monitor the supply chain for potential problems. For example, AI can be used to identify patterns in data that could indicate a problem, such as a supplier that is consistently delivering late or with substandard products. ML can be used to learn from historical data and predict future problems.
- Testing products: AI and ML can be used to test products more efficiently and effectively. For example, AI can be used to identify defects in products that would be difficult to detect with human eyes. ML can be used to learn from historical data and improve the accuracy of testing.
- Improving quality control processes: AI and ML can be used to improve quality control processes by identifying and addressing inefficiencies. For example, AI can be used to identify bottlenecks in the production process. ML can be used to learn from historical data and optimize the production process.
Conclusion
AI and ML are powerful technologies that can be used to improve quality control. PMI can use these technologies to monitor the supply chain, test products more efficiently, and improve quality control processes. By doing so, PMI can help to ensure that the quality of its products is not impacted by future scandals.
In addition to the above, here are some specific examples of how AI and ML can be used to ensure the quality of PMI's products:
- AI can be used to develop predictive models that can identify potential problems with products before they occur. For example, AI can be used to predict which products are most likely to fail during testing or in use.
- ML can be used to develop automated inspection systems that can detect defects in products more quickly and accurately than human inspectors.
- AI and ML can be used to develop virtual reality (VR) and augmented reality (AR) applications that can be used to train employees on quality control procedures.
By implementing these and other AI and ML solutions, PMI can help to ensure that its products are of the highest quality and meet the expectations of its customers.
Sample Answer
Here is a paper on how artificial intelligence and machine learning solutions can help ensure that external and internal issues never impact the quality of PMI's products:
Introduction
The Kobe Steel scandal was a major event in the steel industry that had a long-lasting impact on supply chain channels. The scandal involved the falsification of test results for steel products, which led to a loss of trust in the industry. PMI is a company that relies on the steel industry, and the BOD is concerned about how to ensure that the quality of PMI's products is not impacted by future scandals.