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Your Learner Verification

This is to verify that Arif Khan has completed the course Introduction to Quality Control Tools on Alison.

Arif Khan

Alison ID: 18396817

Course Completed: Introduction to Quality Control Tools

Date of Completion: 18th January 2026

Email: [email protected]

Total Study Time: 4h 3m

Final Assessment Score:

Alison courses requires at least
80% to pass the final assessment

100%
CPD Hours Completed:

CPD approved learning hours
completed through this course

3-5h

Course Information

The free online course on quality control tools for data collection and interpretation, as well as the six sigma concept

In this course, you will learn about the seven quality tools that are used when carrying out data collection and interpretation, as well as how these tools aid in decision making. The concept of acceptance sampling, statistical quality control and the different types of quality control charts will also be covered in this course. Then, the course will teach you about the single-sampling and double-sampling plans, as well as the diagrammatic form of the sampling plan.

This course will also introduce you to six sigma, as well as teach you about the components of six sigma and the methodology used in six sigma. Furthermore, this course will teach you about the ways to assess service quality and then look at the strategic resources of an organization. Lastly, this course will teach you about the concept of combination layouts, as well as the various ways for designing product layouts.

This course is helpful for learners who want to gain an understanding of the various tools that are used in quality control to collect and interpret data. The course is also helpful when learners want to understand the importance of acceptance sampling and the ways plans or products can be sampled. Begin this course now to learn about the importance of quality control tools in product maintenance management.

Modules Completed

Module 1: Service Facility Layout
Module 2: Maintenance Management
Module 3: Course assessment

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