| Map to Venue |
 |
| Training Modules |
|
| Download Registation Forms |
|
|
|
Improving Productivity with Statistical Process Control - Basic Course
This 2 day program is designed for quick, efficient learning of SPC basics that production workers can immediately apply in their work environment. The program covers the basic concepts and tasks of collecting data, calculating values and constructing control charts. And it goes a step further, by explaining how to use SPC data to uncover problems, and then apply basic techniques to analyze those problems, giving you useful solutions.
Rationale
Basic Statistical Process Control provides the vital skills to keep processes in control - and build a base for continuous improvement and drive process consistencies. SPC is a very effective method of monitoring a process through the use of control charts. By collecting data from samples at various points within the process, variations in the process that may affect the quality of the end product or service can be detected and corrected, thus reducing waste and as well as the likelihood that problems will be passed on to the customer. SPC is used to detect and prevent problems as early as possible in the production process preventing the waste in resources and waste in time spent working on defective products. SPC is a valuable tool for both cost reduction and for customer satisfaction.
Benefits of SPC
- Detect and correct defects in processes before they become problems
- Reduce waste in time and resources
- Reduce your costs and increase your profits
- Increase your customer satisfaction levels
Seminar Objectives:
At the end of the seminar/workshop, the participants are expected to:
- List the basic concepts and principles of statistics, probability, variation, measurements and control as it is applied to work situations.
- Define the basic principles of statistical process control and process capability studies
- Be actively involved in the implementation and maintenance of a Statistical Process Control (SPC) program
What you will cover
- Introduction to SPC - Quality Control
- Variables
- Attributes
- Problem Analysis
- SPC Management - 8D
- Six Sigma Quality
- Problems and Cases
Unit 1: The Basics of Statistical Process Control
- Definitions of quality, SPC, process variation, 6-Sigma quality
- Samples and populations
- Variables vs. attributes data
- Purpose of control charts
Unit 2: Introduction to Variables
- Definition of variables data
- Operators' typical tasks for SPC
- Elements of X-R control charts
- Calculating and plotting X and R values
- Interpreting chart patterns
Unit 3: Introduction to Attributes
- Definition of attributes data
- Elements of attributes control charts
- Applications of p, np, c, and u charts
- Calculating values and plotting points
- Interpreting chart patterns
Unit 4: Problem Analysis
- Purpose of problem analysis
- Categories of Wastes. Four common sources of process variation.
- Construction and use of cause-and-effect diagrams
- Elements and interpretation of Pareto diagrams
- SPC management - 8D
Duration:
Two (2) days
Who should attend this program?
- Production level workers
- Anyone who needs an understanding of the fundamentals of SPC
- Managers, Supervisors, Engineers
Slots are limited so register Now!
Pre-registration is required. Slots are limited so register Now! You may also send an email to
seminars@rmpconsultancy.com or call Chili or Lydes at 813-7824 or 810-7765 Mobile Nos: Smart 0939
627 3630 Globe 0915 799 9859
|
Earn an Internationally recognized Certificate. Click the CABA
logo below to find out how you too can earn an International Certificate. |
|
|
|
