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Process control in manufacturing ensures cost-effective production and efficient use of resources, improving product quality and increasing sales. Statistical process control helps manufacturers make better products and adapt to changes in the global marketplace. Japanese factories first used this type of quality control, and now many industries look to the International Organization for Standardization for best practices. Process control techniques, such as statistical quality control, are used to predict and prevent variations in the manufacturing process and identify defects. The goal is to satisfy consumer demand for better products at a lower cost.
Process control methods and practices in manufacturing help companies continually meet and exceed the needs of their customers by providing high-quality products at a low price. Process control in production ensures real-time analysis of the entire company, resulting in cost-effective production and efficient use of all resources. These processes have been designed to improve the quality of products manufactured or services provided in many industries around the world. Changes in the global marketplace can happen quickly and manufacturers need to adapt and stay competitive to survive. Statistical process control helps manufacturers make better products that cost less and add more value to a company or organization.
Effective process control in manufacturing improves the overall quality of products, which in turn increases sales and market share for a company or other business. This type of quality control was first used by Japanese factories after World War II. Japanese factories that used this new type of quality control or process control in manufacturing were able to produce more reliable products with fewer defects. Today, manufacturers in many different industries look to the International Organization for Standardization to outline the best practices, principles and procedures necessary to ensure optimal product quality. In some industries, these standards serve as the basis for many manufacturing process control regulations.
Mass production and product manufacturing are the result of consumer demand. Due to the intense competition in the modern global manufacturing industry, the role of process control has become more important. Only those companies that consistently deliver quality products, at low prices and on time, can expect to compete in today’s global manufacturing industry. Companies must use process control techniques, such as temperature or ambient control, to ensure certain minimum quality specifications are met. One technique used for process control in manufacturing involves evaluating a whole quantity of products based on random sampling of a few products.
Also known as statistical quality control, statistical manufacturing process control involves the detailed analysis and application of procedures used to predict how much a manufacturing process might vary from the original process. It is a way of using probabilities to predict how a manufacturing process will function and what factors could cause the process to deviate from a particular standard or set of standards. Engineers can spot trends or variations in products at certain stages of a manufacturing process and calculate possible effects on the final product before it is ever produced. Through this type of statistical analysis, or forecasting, it is possible to identify any defects and make changes. The role of process control in manufacturing is to satisfy consumer demand for better products at a lower cost.
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