Statistical Quality Control (SQC) involves the use of statistical methods to monitor and control processes to ensure that products meet certain quality standards. It encompasses various techniques for identifying variations in processes and products, thereby enabling corrective actions to maintain or improve quality.
SPC is proactive. It focuses on monitoring the process during production to prevent defects. The primary tool here is the Control Chart. Statistical Quality Control By Mahajan.pdf
Process Capability Analysis: This involves assessing the ability of a process to produce output within specified limits. Key indices include Cp, Cpk, and Pp, Ppk. Statistical Quality Control (SQC) involves the use of
Acceptance Sampling: This is a statistical method used to determine whether a batch of products should be accepted or rejected based on a sample. The book likely discusses: Process Capability Analysis : This involves assessing the
Statistical Process Control (SPC): This involves using control charts to monitor a process to ensure it operates within defined limits.
Before diving into the mathematics, Mahajan establishes a crucial distinction: Quality is not an accident; it is the result of intelligent effort.
In the context of this text, quality is defined not as "luxury," but as "conformance to specifications." A $10,000 watch and a $10 watch can both be high quality if they meet their respective design standards perfectly. The role of Statistical Quality Control (SQC) is to ensure that this conformance is consistent, predictable, and cost-effective.