SPC - Statistical Process Control

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SPC - Statistical Process Control is a crucial training program offered by MYCLASS TRAINING PLT in Malaysia. This program is designed to help businesses improve their processes by effectively monitoring and controlling variation in production. Participants will learn how to use statistical tools and techniques to identify and eliminate defects, reduce waste, and improve overall product quality. With a focus on data-driven decision making, SPC empowers organizations to achieve greater efficiency and profitability.

Interested in enhancing your company's quality management system? Request a quote today to learn more about how SPC - Statistical Process Control training program by MYCLASS TRAINING PLT can benefit your business. Take the first step towards achieving operational excellence and ensuring customer satisfaction.
Learning Objectives

1. Understand the basic principles of Statistical Process Control (SPC), including the importance of data collection, analysis, and interpretation in monitoring and improving processes. Participants will learn how to identify common causes of variation in a process and differentiate between common cause variation and special cause variation.

2. Gain proficiency in using SPC tools and techniques to effectively monitor and control processes. Participants will learn how to create control charts, interpret control chart patterns, calculate process capability indices, and make data-driven decisions to improve process performance.

3. Develop the skills necessary to implement SPC in their own work environment. Participants will learn how to establish control limits, set up data collection systems, and communicate SPC results to stakeholders. By the end of the training program, participants will be able to apply SPC principles to identify and address process inefficiencies, reduce waste, and enhance overall process quality.

Content Delivery Method

Physical, Virtual

HRD Corp Certified Course


Duration and Language

1 to 2 days, English

Target Audience

Suitable for employees at all levels

Key Skillset Addressed

1. Data analysis
2. Quality control
3. Process improvement