Statistical Process Control (SPC) for Enhanced Decision-Making: A Comprehensive CourseLeadership and management

In any city around the world 00447455203759 Course Code: AC/2024/270

Course Description

Introduction 

In the realm of modern industry, ensuring both quality and productivity are paramount for sustainable success. Customers demand products and services that consistently meet optimal standards, making quality management a cornerstone of organizational strategy. Statistical Process Control (SPC) emerges as a crucial methodology in this pursuit, offering a systematic approach to monitor and enhance process performance and product quality.

Course Objectives

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

·        Grasp the concept and methods of measuring variation in work processes

·        Understand the significance of data quality in SPC

·        Apply statistical tools for SPC analysis effectively

·        Translate statistical outcomes into actionable management initiatives

·        Comprehend process capability and its measurement

Target Audience

This course is designed for:

·        Managers, supervisors, and team leaders

·        Professionals in management support roles

·        Analysts engaging with data and analytics

Course Outlines

Day 1: Setting the Statistical Scene for SPC

·        Overview and significance of SPC in quality control

·        Data categorization and importance of data quality

·        Introduction to basic statistical concepts and tools

·        Descriptive statistical measures and analysis using Excel

Day  2: Review of SPC Tools

·        Sub-group formation and control chart framework

·        Variable control charts for continuous data measures

·        Attribute control charts for discrete/countable data measures

·        Excel analysis of sample datasets for each control chart type

Day 3: Review of SPC Tools (continued)

·        Control charts for individual data

·        Validity tests and conditions for SPC analysis

·        Process capability analysis and indices

·        Excel analysis for validity tests and process capability

Day 4: Validity Tests and Process Capability

·        Curve fitting and tests for normality

·        Run chart and process capability analysis

·        Using Excel for analysis of sample datasets

Day 5: More Advanced Statistical Tools in SPC

·        Statistical methods for inferences about process behavior

·        Sampling and sampling distributions

·        Confidence limits, hypothesis tests, ANOVA, regression analysis

·        Excel analysis of sample datasets for each statistical tool