Statistical Quality Control Methodology
Published 12/2025
Created by Aina Matthew
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 37 Lectures ( 2h 54m ) | Size: 1.3 GB
Quality at its best
What you’ll learn
Definition of Quality Control
Importance of Quality Control in the industries
They will learn causes of variation
They will learn the types of control charts
Concept of Acceptance plans will be studied
Types of Sampling inspection will be learn
Producer Risk and Consumer Risk will be explained
Requirements
No special software is required
Willingness to learn new subject
Basic Statistics knowledge in statistics is essential
Description
This course provides a comprehensive introduction to Statistical Quality Control (SQC), equipping students with the analytical tools necessary to monitor and improve organizational processes . Students will begin by learning the formal definition of statistical quality control and its critical role in modern manufacturing and service industries ,here various control charts will be used to detect if our product is within the control limits or not. Peradventure if the lots is not within the control limit some critical investigations will be conducted. A core focus of the curriculum is understanding the types of variation inherent in any process, specifically distinguishing between common (chance) causes and assignable (special) causes . By identifying these variations, students will learn the strategic uses of SQC to maintain stability, reduce defects, and enhance overall productivity .The course also delves into the economics of inspection through acceptance sampling. Participants will explore the critical concepts of producer’s risk (the probability of rejecting a good batch) and consumer’s risk (the probability of accepting a defective batch), learning how to balance these risks to protect both the manufacturer and the end-user .By the end of the term, students will be proficient in utilizing control charts and sampling plans to drive data-driven decision-making.
Who this course is for
All level of students is required for this tutorial
The academic scholars such lecturers or professors
Researchers who which to have in-depth knowledge of statistical quality control
Anybody curious of learning new things
The industrialist who wants to maintain high quality products standard
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