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Statistical Process Control

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Question 1: What is statistical quality control?

Answer: Statistical Process Control (SPC) was normally used to measure and analyse the process variation and it was most commonly used in manufacturing processes. The main objective of the SPC is to monitor the process consistency and also to maintain the process at fixed targets. The consistency of the process has to be monitored continuously in a manufacturing unit to produce identical and high quality product production. The major role of SPC is not to improve the products that are poorly produced, but it was mainly implemented to maintain the consistency of the product was and delivered

Question 2: Explain the importance of statistical quality control for the manufacturing sector

Answer: The seven basic tools of statistical quality control are

• Fishbone diagram or Cause and Effect diagram

• Check Sheet

• Control Chart

• Pareto Chart

• Histogram

• Scatter Plot, normally used to determine the relationship between two variables, and

• Stratification

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The major role of the statistical quality control is to monitor the process consistency and it is widely used in manufacturing sector. This tool was widely used in manufacturing sector to monitor process behaviour, identify the issues that occur in the internal systems and also provide an optimal solution for those causes

Question 3: Can big data and business intelligence increase profit of firms by improving statistical quality control tools?

Answer: Big data was normally used to move the data with observations which are collected with respect to time. Most of the big data are time related and are needs to be validated carefully. The major constraint in big data is to analyse the data and also to monitor the performance of the process in a longitudinal manner. This process can be perfectly handled by statistical quality control charts.

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