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Any manufacturing process contains numerous steps from processing raw material to delivering a finished product. Thus, maintaining quality of product throughout the production is a major parameter as far as any manufacturing company is concerned. Every individual component in manufacturing process has to be continuously monitored for delivering a quality product. Working of an industrial component or machine with less potential may lead to manufacturing of defective product. Statistical process control is a method of quality control which uses statistical method to improve real-time manufacturing process in a company. Thus, statistical process control software can be used by manufacturing company to improve real-time manufacturing processes and deliver quality product. Six-sigma and total quality management can be achieved by production engineer with the help of statistical process control software. Statistical process control software collects data points of production process and compares it with pre-determined control limit. This helps to improve and reduce variability in manufacturing processes. Statistical process control software can be used to set specified lower and upper control parameter in manufacturing processes in order to optimize machine output. This also helps to reduce rejection rate in production processes. Statistical process control software helps to improve productivity of manufacturing processes, thus, increasing profitability. Statistical process control software can be used to plan and schedule maintenance cycle which helps in reducing the chance of machine failure and downtime. Statistical process control software can be used by production managers, machine operators and six sigma project managers in manufacturing processes.

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The major challenge for implementing statistical process control software in a manufacturing company is the high initial cost and time taken to implement the system. Most of production managers and supervisors tend to show less interest in implementing statistical process control software as it increases their amount of work in company. Statistical process control software also faces challenge from enterprise quality management software and manufacturing execution systems provider. Statistical process control software providers also offer customized solution for individual and group manufacturing process requirement. Thus, statistical process control software finds a wide adoption in many industrial sectors due to this reason. Statistical process control software has application areas such as automobile, aerospace and defense, metal component manufacturers, electronics, packaging, healthcare, oil and gas, petrochemicals, paper & pulps, pharmaceutical plants and food & beverages.

Adoption of statistical process control software in manufacturing industry is going to increase in coming years as companies will need to increase profit and reduce unnecessary production cost in order to have a competitive advantage among its competitors. The demand for statistical process control software market will increase in the U.S., Japan and Germany which are considered as hub for manufacturing companies. Developing countries such as China, India, Brazil and South Africa will see more demand for statistical process control software market as industrialization is going to increase in coming years.

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Some of the key Statistical process control software providers are Zontec Inc, DataNet Quality Systems, BPI Consulting LLC, Mettler-Toledo International Inc, Infinity QS, DataLyzer International, Hertzler Systems Inc, Epicor Software Corporation, Profitkey, and QT9 Software.

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