Statistical Process Controls

Statistical Process Controls (SPC) is a method of quality control that employs statistical methods to monitor and control a process, ensuring the process performs optimally. Coursera's SPC catalogue teaches you how to use these statistical methods to analyze a process or its output and take appropriate actions to achieve and maintain a state of statistical control and improve the process capability. You'll learn how to implement control charts, understand process variability, conduct process capability analysis, and apply various SPC methods to enhance productivity, reduce waste, and increase customer satisfaction in a multitude of industry settings.
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1online degree
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Results for "statistical process controls"

  • IIT Roorkee

    Skills you'll gain: New Product Development, Mergers & Acquisitions, FinTech, Capital Budgeting, Brand Management, Supply Chain, Integrated Marketing Communications, Business Marketing, Sales Process, Business Valuation, Innovation, Succession Planning, Management Accounting, Statistical Process Controls, Product Management, Supply Chain Management, Marketing Management, Revenue Management, Sampling (Statistics), Production Schedule

    Earn a degree

    Degree · 1 - 4 Years

  • University of Illinois at Urbana-Champaign

    Skills you'll gain: Process Improvement, Supply Chain, Supply Chain Management, Operations Management, Business Operations, Process Analysis, Statistical Process Controls, Instructional Design, Learning Management Systems, Continuous Improvement Process, Process Capability, Educational Materials, Change Management, Collaborative Software, Augmented and Virtual Reality (AR/VR), Solution Design, Technology Strategies, Learning Strategies, Systems Analysis, System Implementation

    Credit offered

    Mastertrack · 6 - 12 Months