Basic Statistics and Statistical Process Control

4.9

CEU Credits: 1.2

What you'll gain from this course

Live online sessions with industry-recognized experts

Hands-on exercises and real-world application

Engaging group discussions and activities

Networking with peers and trainers

Quality tools are key for improving and measuring quality in a manufacturing process. They are an industry-standard for measuring and controlling quality using data-based and objective techniques. This technical training course focuses on teaching foundational terms, measurements and concepts and quality tools and when and how to use them so data-driven decisions can routinely be made.

Using examples this participatory workshop includes applied exercises and interactive tools designed to foster understanding of concepts and application to actual data. The skills developed will help instill the concept of quality assurance and measurement that support productivity and quality improvement programs, and address quality compliance challenges in your facility.

This course will include hands-on practical assignments where learners will have an opportunity to apply new knowledge and skills gained, completing assignments on their own time between sessions.

Learning Outcomes

At the end of the program, learners will be able to:

Describe and apply sampling and its application to quality tools to ensure that your data collection is efficient and effective
Analyze process data and apply them to process capability
Measure process variability and identify opportunities to reduce it as part of continuous improvement
Measure and interpret data consistently to make correct assessment
Basic Concepts (average, means, specification ranges, confidence levels etc.)

Process Variation and Use in Continuous Improvement

Shape of distribution and standard distribution, calculations
Use of bell curves and histograms
How, why and when to use measurements such as:
Process Capability Analysis (Cp and Cpk Index)
Percentage Out of Specification

Process Control

Use of process control data, application and interpretation

Attribute Control Charts

Sampling
Building a sampling plan (including based on using military standard and other options)
Determining what to sample and how to sample

Accreditation:

As an Association for Continuing Education and Training (IACET) Accredited Provider, NSF Training and Education offers CEUs for its programs that qualify under the ANSI/IACET Standard. NSF Training and Education is authorized by IACET to offer the number of CEUs below for this program.

1.2 CEU's

Who Should Attend

Auditors, Food Safety & Quality Personnel, Global Food Safety Personnel, HACCP Personnel, Lab Personnel involved in food microbiology testing, Microbiologists, Owners/Operations of Food Business, Plant Managers/Supervisors, Public Health Inspectors, QA/QC Personnel

Prerequisites:

Basic math and graphing skills are required, as well as a working knowledge of Excel. A good technical understanding of products, processes, measurement and sampling in the work environment will be beneficial.

Technology Requirements:
Participants must join the training using their own individual computer or device to meet participation and assessment requirements. Devices cannot be shared between multiple participants. To support engagement and interactive learning, participants are encouraged to join with both video and microphone enabled throughout the session.

If you have any questions or concerns regarding these requirements, please contact our training team at [email protected].

Computer & Internet Connection:
Participants will need reliable access to a computer with a stable internet connection. High‑speed broadband (LAN, cable, or DSL) is recommended.

Compatible Web Browsers:
The following browsers are supported: Firefox, Chrome, Safari, and Microsoft Edge.

Accommodations
NSF is committed to accommodating the learning requirements of all our stakeholders. If you require special assistance for any reason, please contact us at [email protected].