Cambridge
Academy
In London

Course Duration: Five Training Days

Course Language: Arabic or English

Include:

-Scientific material with TAB

-Workshops

-Reception and farewell at the airport

-Coffee Break

**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.

**Targeted Groups:**

- Managers, supervisors, and team leaders

- Professionals in management support roles

- Analysts engaging with data and analytics

**Course Objectives:**

Upon completion of this course, participants will:

- 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

**Targeted Competencies:**

- Data analytics in management

- Implementing data analytical methodologies

- Emphasizing management's interpretation of statistical evidence

- Assimilating statistical thought into operations

**Course Content:**

**Unit 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

**Unit 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

**Unit 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

**Unit 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

**Unit 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