Statistical Process Control

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Looking to enhance your skills in Statistical Process Control? Look no further than our HRDC certified training program offered by TSY Consultancy PLT in Malaysia. Our comprehensive program is designed to equip participants with the knowledge and tools needed to effectively implement statistical process control techniques in their organizations.

With a focus on practical application and real-world examples, our training program covers key concepts such as data collection, analysis, and interpretation. Participants will learn how to identify and address process variations, leading to improved quality and efficiency in their operations. Request a quote today to learn more about our Statistical Process Control training program and take the first step towards advancing your career in quality management.
Learning Objectives

1. Understand the principles of Statistical Process Control (SPC) and how it can be used to monitor and improve processes within an organization. Participants will learn about the importance of data collection, analysis, and interpretation in identifying trends and making informed decisions.

2. Gain proficiency in using SPC tools and techniques such as control charts, histograms, and scatter diagrams to visualize and analyze process data. Participants will learn how to interpret these tools to determine if a process is in control or if there are any variations that need to be addressed.

3. Develop the skills to implement SPC in their own work environment, including setting up control charts, establishing control limits, and using statistical methods to identify and address process improvements. Participants will also learn how to communicate SPC results effectively to stakeholders and drive continuous improvement efforts within their organization.

Content Delivery Method

Physical, Hybrid

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 management
3. Process improvement