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عربي

عربي

course

Application of Statistical Process Control (SPC) Tools and the Seven Quality Control Tools

Why Attend

Organizations should not underestimate the need to deeply understand how to implement operations and deliver high-quality products or services to their customers. Given the importance of this topic, we offer this training course, which explains the statistical tools that help understand organizational processes and provides visual and statistical tools that provide opportunities for organizational improvement. The course also covers indicators used by leading organizations to measure operational capacity, in addition to discussing the application of the seven quality control tools and their benefits for organizations.

Overview

Course Outline

Schedule & Fees

Methodology

This course relies on a combination of interactive lectures, group discussions, case studies, and practical exercises. Trainees participate in realistic problem-solving scenarios to ensure practical understanding and application of quality management tools and concepts.

Course Objectives

By the end of the course, participants will be able to:

Understand and apply the seven tools of quality control

Understand the concepts of Statistical Process Control (SPC)

Apply SPC (Statistical Process Control) through control charts to identify and reduce variance

Discuss process capability and the reasons behind the need to improve business performance

Calculate sigma levels, Cp, and Cpk, and explain the capability of normally distributed processes

Analyze data using various tools in Minitab

Target Audience

This course is aimed at managers, supervisors, and all professionals who wish to improve their organizations' use of SPC concepts and process capability, and understand the relationship between SPC and SPC implementation and improving business and organizational processes.

Target Competencies

SPC Statistical Process Control

Problem-Solving Skills

The Seven Tools of Quality Control

Process Performance

Process Capability

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