COURSE OVERVIEW:

This advanced course provides a comprehensive treatment of Statistical Process Control (SPC) as a practical tool for monitoring, controlling, and improving processes in industrial environments. Participants will learn how to assess and quantify variation in process and product characteristics, collect and structure data correctly, analyze that data using statistical methods and exploratory data analysis, and make sound operational and managerial decisions based on statistical evidence.

Emphasis is placed on interpreting control charts correctly, distinguishing between common cause and special cause variation, assessing process capability and performance indices, and selecting appropriate sampling and control test methods for different process situations. By the end of the course, participants will be able to design and implement SPC systems that support continuous improvement and robust quality performance in their own facilities.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

-Explain the salient features, objectives, and terminology of Statistical Process Control and its role within quality and process improvement systems.

-Distinguish between types of process variation and understand the concepts of common cause and special cause variation.

-Plan and execute effective data collection strategies for both process and product characteristics.

-Apply basic and intermediate statistical tools to summarize, visualize, and interpret process data.

-Select and construct appropriate control charts for variable and attribute data, and interpret patterns, trends, and signals.

-Choose suitable sampling methodologies and sampling frequencies for reliable and cost-effective SPC implementation.

-Apply formal control test methods and run rules to detect out-of-control conditions on time.

-Make sound, data-driven decisions based on statistical output, including when to adjust processes and when to investigate root causes.

-Integrate SPC findings into continuous improvement initiatives and communicate results effectively to technical and non-technical stakeholders.

TARGET AUDIENCE:

-Process Engineers

-Quality and Reliability Engineers

-Production and Operations Engineers

-Process Improvement and Continuous Improvement Specialists

-Industrial Engineers involved in data analysis and performance monitoring

-Supervisors and Technical Staff supporting quality and process control activities

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures and discussion sessions, as well as case studies, will be managed to maximize the amount and quality of information, knowledge, and experience transfer. The course will be intensive but practical and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance learning. Course material through PowerPoint equipped with necessary animation, learning videos, and general discussions will be provided.

The course participants shall be evaluated before, during, and after the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants who complete at least 80% of the total attendance time requirement.