Statistical Process Control
Statistical Process Control is all about boosting quality. Quality management can not only deliver value to customers and stakeholders, it can also enable data-driven decision making that helps organizations gain a competitive advantage in the marketplace. This intermediate-level course will introduce the basics of quality management, explaining the difference between quality control and quality assurance, providing methods for application of analysis, showing different applications of the Seven Basic Quality Tools. It all culminates in a brief case study, which illustrates the concepts covered.
Statistical Process Control is all about boosting quality. Quality management can not only deliver value to customers and stakeholders, it can also enable data-driven decision making that helps organizations gain a competitive advantage in the marketplace. This intermediate-level course will introduce the basics of quality management, explaining the difference between quality control and quality assurance, providing methods for application of analysis, showing different applications of the Seven Basic Quality Tools. It all culminates in a brief case study, which illustrates the concepts covered.
Statistical Process Control is all about boosting quality. Quality management can not only deliver value to customers and stakeholders, it can also enable data-driven decision making that helps organizations gain a competitive advantage in the marketplace. This intermediate-level course will introduce the basics of quality management, explaining the difference between quality control and quality assurance, providing methods for application of analysis, showing different applications of the Seven Basic Quality Tools. It all culminates in a brief case study, which illustrates the concepts covered.
Credits
5 HRCI Credits
5 SHRM PDCs
5 ATD CI Credits
5 PMI PDUs:
2 Ways of Working PDUs
2.5 Power Skills PDUs
0.5 Business Acumen PDUs
Learning Outcomes
Describe principles that help guide quality management activities
Use the Plan-Do-Check-Act cycle to coordinate work and implement change
Explain the differences between quality control and quality assurance
Create a SIPOC diagram to help visualize work as a process
Explain the role that metrics and statistics play in measuring and controlling work processes
Apply analysis and planning approaches to quality
Explain how the Seven Basic Quality Tools are used to monitor and control quality processes
Use the Seven Basic Quality Tools to process and sort non-numerical data
Use the Seven Basic Quality Tools in combination to create powerful plans and solutions to quality problems
Describe various quality management programs
Employ quality management tools based on a brief case study
Accreditations
Estimated Time to Complete: 5 hours
Access Time: 90 days
Refund Policy
You may request a refund up to 7 days from the purchase date. The registration fee will only be refunded if less than 10% of each course has been completed. Course completion can be viewed from within the course platform.