Statistical Quality Control (SQC)

Name: Statistical Quality Control (SQC)
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Complete guide on devising and implementing acceptance sampling procedures based on ISO 2859 and 3952 standards

Created byOTIFAS Certifications

Last updated 7/2014

English

What you'll learn

Provide thorough understanding on purpose and function of Statistical Quality Control.
Enable a learner to device suitable and effective inspection and sampling plans in respective organizations.
Learn and impalement international quality control standards such as ISO 2859 and 3951.

Course content

6 sections • 42 lectures • 8h 36m total length

Introduction-History7:00
Lecture gives the introduction of this course, its overview, why take this course, intended audience etc.
What is Control?5:39
Control is a frequently used word, this lecture simplifies what a control is, the generic components of control process and its interactions. Control is universal only the control subjects vary. By the end of this lecture, learner understands and able to design a control feedback loop for any control subject.
Definition of Quality Control and objectives2:38
There are varieties of control subjects such as cost control, production, inventory, budgets controls etc. Similarly Quality has always been a major control subject. This lecture describes the definitions of quality control as defined by renowned quality practitioners and the International Organisation for Standardisation (ISO) as well.
Control stations3:13
Control stations are the areas or a places where the control takes place. In this lecture, we will learn about the various control station locations that generally used by big industries. This will be helpful for the learner to decide the control station locations for their own industries.
Delegation of quality control4:57
Quality control involves a lot of decision making processes. Decisions following an inspections have long effects based on critical, usage and safety of product. Delegation of decision making is essential for effectiveness of quality control and assurance. This lecture is all about the delegation of decision making process of quality control.
Quality control lectures explained-I33:00
This lecture is a comprehensive material of lectures from 1 to 4. The PDF gives complete insight and more than what was covered in the previous lectures. Interested learners can further enhance their quality control awareness.
Quality control lectures explained-II42:00
This lecture explains in detail about the delegation and designing a control feedback. Designing a feedback loop will help the learner in selecting the quality characteristics, establishing performance goals and other components of control feedback loop.
Section 1 Quiz

Introduction4:31
Inspection and testing are the most important activities of quality control. This lecture provides an introduction of inspection, its objectives and the need of inspection and testing.
Categories of inspection4:21
This lecture talks about the different methods of categorizing the inspection, such as categorizing inspection by type, location, size etc.
Conformance to specification/fitness for use5:11
This is an interesting lecture on decision of 'fitness for use' of a product. Items found not conforming to specification might at times be fit for use depending upon its usage, criticality and safety parameters. This lecture explain what is the differences between conformance to specification and 'fitness for use'.
Classification of defects4:09
This lecture talks about the classification of defects on the basis of seriousness. Every quality characteristics does not have same effect on fitness for use. Some are of serious and critical importance and many are minor. obviously, charcteristics which are critical deserve greater attention to quality.
Inspection lectures explained-I30:00
This is the explained version of lectures from 8 to 10. Useful for learners who wish to gain more insight of inspection and testing.
Inspection lectures explained-II18:00
This is the explained version of lecture 11. Useful for learners who wish to gain more insight of inspection and testing.
Section 2 Quiz

Introduction3:46
The important aspects of Statistical Quality Control start from this lecture. Acceptance sampling is the process of evaluating a portion of the product from a lot for the purpose of accepting or rejecting a lot. This lecture provides the introduction to acceptance sampling.
Sampling risks and indices5:06
Acceptance sampling always carry some risks. There two major kinds of risks related to producers and consumers as part of the acceptance sampling. This lecture provides a good understanding about these risks and its associated terminologies.
Producers risk and acceptance quality level4:06
Producer's risk or the type I error is the probabilty that a good lot will be rejected by a particular acceptance sampling. Producer's risk is always stated in conjunction with numerical index called Accepted Quality Level (AQL). This lecture explains the producer's risk and AQL.
Consumers risk and limiting quality level3:20
Consumer's risk or the type II error is the probability that a bad lot will be accepted by a particular acceptance sampling. Consumer's risk is always stated in conjunction with numerical index called Limiting Quality Level (LQL). This lecture explains the consumer's risk and LQL.
Operating characteristic curve (OCC)4:46
Operating Characteristic Curve (OCC) is a graph that represents the probability of acceptance of a lot at different incoming quality levels. This lecture introduces the OC curve and how an ideal OC curve looks like.
Constructing OCC curve6:29
In this lecture, you will learn to identify the chance of acceptance of the lot at a particular level of incoming quality. Once we identify the chance of acceptance then it is easier to plot the probability of acceptance and lot quality in OC curve. Also learn how to find out the producer's / consumer's risks at a particular AQL / LQL.
Effect of lot size, sample size on OCC4:20
Shape of and OC curve is affected by different sizes of lot, sample and acceptance number. In this lecture you will learn about these effects and identify optimum number of sample and acceptance number that gives an OC curve close to ideal.
Average outgoing quality limit (AOQL)3:52
Apart from the two common quality indices for sampling plans such as AQL and LQL, a third commonly used index is the Average Outgoing Quality Limit (AOQL). Learn more about AOQ and AOQL in this lecture.
Types of sampling plans5:42
Based on the type of data of the control subject, inspection can be majorly classified as attribute and variable plans. Learn in this lecture about the various types of sampling inspection plans that will be useful to learners who wish to implement them in their respective organisation.
Acceptance sampling lectures explained-I24:00
This lecture is comprehensive of the lectures from 14 to 17. This is useful for the learners to have thorough insights of these lectures.
Acceptance sampling lectures explained-II35:00
This lecture is comprehensive of the lectures from 18 to 21. This is useful for the learners to have thorough insights of these lectures.
Acceptance sampling lectures explained-III23:00
This lecture is comprehensive of the lecture 22. This is useful for the learners to have thorough insights of this lecture.
Section 3 Quiz

Selection of random samples5:10
Method of sample selection has a substantial influence on the result of inspection. A sample must be a true representation of entire lot. Random sampling method explained in this lecture significantly reduces the sampling biases.
Normal, tightened and reduced inspections4:57
Inspection is a non value added activity and add costs. Hence whenever it is known that the process quality has been improved; the level of inspections should also be reduced. In this lecture, the learner gains the standard method of switching from normal inspection to tightened or reduced inspections.
Implementation of ISO 2859 standard8:35
This is the practical lecture on the implementation of standards discussed in previous lectures. ISO 2859 part I is the international standard for devising sampling plans for inspection by attributes. By the end of this lecture, the learner will effectively learn to devise a attribute inspection plans for his organisation.
Sampling inspection by variables4:21
In this lecture, you will learn the various methods of variable sampling plans, basic statistic such as mean and standard deviation etc.
Lot acceptability variability known method5:18
In this lecture you will practically learn how to accept a lot in variable inspection plan when the standard deviation of the lot is known. This is will be helpful for organizations using variable sampling methods to inspect their product or processes.
Lot acceptability variability unknown method6:18
In this lecture you will practically learn how to accept a lot in variable inspection plan when the standard deviation of the lot is not known. This is will be helpful for organizations using variable sampling methods to inspect thier product or processes.
Acceptance sampling explained46:00
This lecture explains the contents of lectures 26 and 27. Helpful for learners who wish to enhance their skills.
Implementation of ISO 2859 and 3951 standards32:00
This lecture explains the contents of lectures 28 and 31. Helpful for learners who wish to enhance their skills.
Tables for devising attribute sampling plans7:00
This tables can be used for devising the sampling plans for attribute. This is to be used for solving 3 practice sessions given at section 5.
Tables for devising variable sampling plans3:00
This tables can be used for devising the sampling plans for attribute. This is to be used for solving 3 practice sessions given at section 5.
Section 4 Quiz

Exercise-1 to be answered in quizzes 1 to 43:00
These are practice sessions for implementation of attribute / variable sampling plans. The tables provided at lecture 33 or lecture 34 need to be used accordingly to solve this sessions. The answers of these sessions are to fed to the quiz questions of this section.
Exercise-2 to be answered in quizzes 5 to 83:00
These are practice sessions for implementation of attribute / variable sampling plans. The tables provided at lecture 33 or lecture 34 need to be used accordingly to solve this sessions. The answers of these sessions are to fed to the quiz questions of this section.
Exercise-3 to be answered in quizzes 9 to 123:00
These are practice sessions for implementation of attribute / variable sampling plans. The tables provided at lecture 33 or lecture 34 need to be used accordingly to solve this sessions. The answers of these sessions are to fed to the quiz questions of this section.
Practice session for attribute and variable sampling plans

Requirements

As such there is no requirements for this course, however basic knowledge of six sigma and project management will help the learner to effectively understand the concepts.

Description

Quality has always been a major strategy for all progressive organizations. Quality control is that part of quality management focused on fulfilling quality requirements of customers. Meaning of quality control has undergone a lot of changes in the past one century.

This course is all about the "Statistical Quality Control (SQC)" technique and activities performed by organisations for monitoring and sustaining quality which satisfies given customer needs. SQC, is the use of statistical methods in the monitoring and maintaining of the quality of products and services. One method, referred to as acceptance sampling, can be used when a decision must be made to accept or reject a group of parts or items based on the quality found in a sample. A second method, referred to as statistical process control, uses graphical displays known as control charts to determine whether a process should be continued or should be adjusted to achieve the desired quality.

The course materials include, precise video lectures and explained PDF lectures for thorough understanding of the subject. On an average a learner who spends one hour per day can master this subject in 20 to 25 days.

For project management professionals and Lean six sigma professionals, it is essential to undergo this subject for effectiveness of their projects. For quality professionals, and entreprenuers, this course will help in enhancing their knowledge level and improve business performance.

Who this course is for:

Quality professionals.
Six sigma green and black belt professionals.
Project management professionals.

Statistical Quality Control (SQC)

What you'll learn

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Course content

Quality Control7 lectures • 1hr 38min

Inspection6 lectures • 1hr 6min

Acceptance sampling 112 lectures • 2hr 3min

Acceptance sampling 210 lectures • 2hr 3min

Practice session for attribute and variable sampling plans3 lectures • 9min

Conclusion4 lectures • 1hr 37min

Requirements

Description

Who this course is for: