BO 204

BO 204 – JMP Training : Quality Control and Statistical Process Control – 2 days

static1
Introduction
Statistical process control (SPC) involves using statistical techniques to measure and analyze the variation in processes. It aims to get and keep processes under control. Most often used for manufacturing processes, the intent of SPC is to monitor product quality and maintain processes to fixed targets. Statistical quality control refers to using statistical techniques for measuring and improving the quality of processes and includes SPC in addition to other techniques, such as sampling plans, experimental design, variation reduction, process capability analysis, and process improvement plans.

Learn how to
Navigate the JMP SPC interface
Setting up real time control chart through JMP software
Setting JMP alarm functions
Triggering of process violation rules
Effective root cause analysis through JMP software
Interpretation of analysis results

Training Approach
This practical course combines classroom teaching, practical exercises, and group discussion with actual factory based projects to provide a complete action learning experience. The course has been designed to enable all participants leave the training room with a set of new knowledge, tools, skills and direct experience of how to use JMP software for statistical process control in a real company setting.

Prerequisite: Statistical Data Analysis Through JMP Software
Training facilities: Computer installed with JMP software and LCD projector

Course contents :
DAY ONE
Section 1 : Introduction to basic statistic and type of data
The difference between attribute and variable data
Introduction to basic statistic.
Introduction to normal distribution and its characteristics
Standard deviation vs process variation
Type of control charts and their applications

Section 2 : Basic concept of process variation
Comparison between special causes and common causes
Basic understanding on shape, location and spread of normal distribution curve
The actions required to handle special causes and common cause
Specification vs control limits

Section 3 : Data Collection and sampling
Basic understanding on subgroup and subgroup size
Guideline for selecting subgroup size
Different types sampling strategy
Steps to establish control chart

Section 4 : Variable control chart
The applications of variable control chart
Guidelines to choose different type of control charts
Calculation of control limits and plotting X bar-R chart, X bar- S chart and X-MR chart
Different subgrouping strategies for various purpose
SPC techniques for short production run
Root cause analysis
Establish variable control chart through JMP software

DAY TWO
Section 5 : Analysis of control chart pattern
Basic rules to identify out of control process
Special cause test
Western Electric rules
Different type of control chart patterns, relevant interpretation and the actions required
Detection of chart pattern through JMP software

Section 6 : Attribute control chart
The difference between nonconforming and nonconformity
When to apply attribute control chart
Steps to establish attribute control charts such as p chart, np chart, c chart and u chart
Calculation of control limits and plotting of control charts
Establish attribute control chart through JMP software

Section 7 : Analysis of Process Capability
Introduction to process capability index (Cp, Cpk, Pk, Ppk and Cpm) and its interpretation on process performance
Targets for process capability index
Steps for process capability analysis
Interpretation of six sigma process performance
Process capability study through JMP software

Section 8 : Implementing and maintaining SPC program
• Important factors to consider and steps for effective implementation

Who should attend: Managers, engineers, executives and supervisors who will use JMP software to perform process capability study and SPC implementation.

Delivery: Classroom lecture, hands-on practice, assignments and case studies.

Duration: 2 days (9am – 5pm)