With the US touting high tech manufacturing. There is an increasing need for in-

Question

With the US touting high tech manufacturing. There is an increasing need for in-process adjustment in cellular manufacturing that will come as a result of on-station monitoring of quality attribute or CTQs as opposed to allowing any potential error to propagate only to be discovered at the final work cell or station. At that point cost to correct would be prohibitive including the large number of rejects, Etc. As a consultant, proposed 4 ways that you would use to monitor these quality attribute or CTQs in order for in-process adjustment. You could use any artificial intelligence, Neural network or big manufacturing data analytics to help with the decision making process.

Explanation / Answer

CTQs in order for in-process adjustment

            CTQs are the key measurable characteristics of a product or process whose performance standards or specification limits must be met in order to satisfy the customer. These outputs represent the product or service characteristics defined by the customer (internal or external).

            In order to satisfy customer requirements, organizations must improve the quality by reducing variance in production processes. The less variation the system has, the better quality it provides. Thereby, the variability of critical-to-quality characteristics (CTQs) is a measure of the uniformity of outputs.

            Variability can be thought in two ways: one is inherent variability in a CTQ at a specified time, and the other is variability in a CTQ over time.

            CTQ features such as timeliness/speed, cost, and quality of product or service as it identifies root causes and eliminates variations and defects.

            CTQ’s are requirements that processes must perform up to if expect to meet customer expectations. Once understand this, and then can initiate six sigma projects to address the specific performance issues.

            Measure variation in relation to an acceptable level of performance or specification limit. This is driven by the characteristics of CTQ.

            They may include the upper and lower specification limits or any other factors related to the product or service. Typically, a CTQ must be interpreted from a qualitative customer statement to an actionable, quantitative business specification. Establishing CTQs is vital for a company to meet customer needs and keep up with the competition

Artificial intelligence, for decision making process

            Artificial Intelligence (AI), commonly defined as the science of making machines do things that would require human intelligence, is often confused with robotics, especially humanoid robotics, as they are the closest to ‘human’ intelligence.

The definition of AI to be the ability of a machine, to improve upon its original programming and enhance. its ability to perform tasks that normally require human intelligence. The application would make better and more accurate decisions.

While artificial intelligence has been an important area of scientific research and advancement in computing technology has brought it closer to businesses. Organizations from across the globe are adopting AI in various aspects of their business to reduce errors and increase efficiency.

The basic methods used for solving the problem in artificial intelligence are: logical programming, creation of expert systems, fuzzy expert systems, and neural networks, hybrid intelligent systems (neural expert systems and neuro-fuzzy expert systems)

That artificial intelligence will be a major technology for prescriptive analytics, the step beyond predictive analytics that helps us determine how to implement and/or optimize what predictive analytics has helped us discover.

Application areas include improving sales analysis and customer satisfaction, security analysis and trade execution, fraud detection and prevention, targeted education and training, land and air traffic control, national security and defense, and a wide variety of healthcare applications such as patient-specific treatments for diseases and illnesses.

Some artificial intelligence techniques are followingly

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