Six Sigma Black Belt Training هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Course Overview

Six Sigma Black Belt Training Certification provides students with methodical information of Six Sigma philosophies and principles (including supporting systems and tools). A certified Black Belt exhibits team leadership, understands team dynamics, and assigns their team members with roles and responsibilities.

Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. Students will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Berkeley’s Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized

• Business process management
• Computer applications
• Design of experiments (DOE)
• Design for Six Sigma (DFSS)
• DMAIIC
• Enterprise wide deployment
• Lean enterprise
• Project management
• Regression and correlation modeling
• Statistical methods and sampling
• Statistical process control
• Team processes

WHAT INDIVIDUALS WILL LEARN

• Analyze process data using comprehensive statistical methods
• Control the process to assure that improvements are used and the benefits verified
• Define an opportunity for improving customer satisfaction
• Implement the recommended improvements
• Improve existing processes by reducing variation
• Measure process characteristics that are critical to quality