Statistical Process Control: Reducing and Controlling Variation for Better Quality
June 14-15, 2018 8:30 am - 5:00 pm
Inspection never builds quality into a product or service. In fact the reason why an organization inspects is because it is not confident about its quality in the first place. And the reason why companies nowadays produce defects
or defectives is not because of design and standards conformance per se. It is rather because of the problem in being consistent about conforming; thus, the main enemy in building and sustaining quality is inconsistency or what is better known as variation.
Statistical process control thru its main tool-control charting, is a powerful way of seeing and identifying unwanted and undesirable variations that might have been built or might have crept unnoticed into our processes and products so that these can be addressed appropriately.
Applied correctly, it can become a definitive guide in the work floor as to when to tinker with the process or to just leave it running as it is. Taken to its full capability, it can proactively spot or pinpoint when a non-conforming product will be produced or when the defect rate is about to get worse thus shifting the quality practice from appraisal to being preventive. It can also be used to show and communicate the historical and current quality performance for a product or service with respect to the specified tolerances thus showing the capability of the process in delivering what is required by the customer.
This two-day learning session will familiarize the participants with the fundamentals and principles of control charting. It will introduce them to the different types of control charts depending on the type of quality characteristic being monitored as well as the number of samples that can be economically gathered given a process set-up. Additionally it will tackle some types of advanced control chart that are very useful because many of the existing operations are set-up in such a manner that only this types of chart can handle- an example is batch processing. It will inform participants of the proper application on control charting and application pitfalls to watch out for and be wary about. The learning session will consists of experimental simulations, exercises and discussions serving as a channel for participants to learn and practice the concepts and the tools. The session will be limited to 18 participants only to ensure a high engagement level and interaction between the Mentors/Facilitators and the participants.
Learning Session Outline
How you will benefit
Gain a new perspective of looking at quality in light of variation and recognize the need to deal appropriately with type of variation acting in the process.
Realize and comprehend the power and limitations of control charts.
Familiarize and gain ability and confidence to set-up and use the control charts to monitor and improve processes in your company or organization.
Build capability to determine the right way of getting samples or forming subgroups to monitor process performance.
Expand and deepen the suite of quality tools available at your disposal and so contribute to progress of the quality practice in your company either it be an stand-alone initiative or as part of a bigger quality program such as Six Sigma or QMS or other company wide Continuous Improvement initiatives.
Who Should Attend
Business Leaders, Quality Managers, Quality Analyst, Quality Assurance Personnel, Process Owners, Production Managers and Supervisors and others who are responsible for monitoring and improving processes and products.
Participants will have to bring their own laptops for the SPC software. Installation instructions for the trial version of the software will be provided as this will be used throughout the learning session duration.
The training site will be at Technopoly Inc’s Training Hub located at 2901 One San Miguel Avenue Building, 1 San Miguel Avenue corner Shaw Blvd, Pasig City. Those coming from faraway places could explore the multiple accommodation options near the training venue such as Red Planet Hotel, Richmond Hotel, Lancaster Hotel, etc.
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Learning Investment and Inclusions
This one-day learning session is worth Php 10,640.00 (VAT included).
The inclusions are:
Business Snacks and Lunch, Unlimited espresso coffee and tea
Certificate of Completion
Paid parking is available in One San Miguel Avenue Building with entrance at the Shaw Boulevard
For Course-Related Questions
To reserve for this learning session or should you have any questions, please feel free to contact us via email through email@example.com with your name and contact details
To secure your slot please pay at least 1 week before the learning session. Please deposit payment to:
Bank of the Philippine Islands
Account Name: Technopoly Inc.
Account Number: 1413-0041-59
Branch: Taft-Quirino Avenue
Banco de Oro
Account Name: Technopoly Inc.
Account Number: 004580-3638-01
Branch: Taft-Vito Cruz
Please email a copy of your deposit slip to this will serve as your confirmation.
Our Facilitators and Mentors
Dennis T. Beng Hui
Dennis has been coaching and mentoring business leaders in their Lean implementation for the last 15 years. He is a frequent speaker in the Philippine Lean Six Sigma Conference. Aside from the practice of Lean, he is currently a faculty at the Department of Industrial Engineering at the Gokongwei College of Engineering of De La Salle University Manila since 1991. He has helped trained and coached lean projects in manufacturing, health care, retail and food service. He has a bachelor in science and masters in science degree in Industrial Engineering. He is currently completing his doctor of philosophy in Industrial engineering.
Bryan has trained various companies on Statistical Process Control. These companies are in the field of consumer goods and personal care, agri-business, specialty chemicals, plastics and packaging, electronics, food ingredients to name some. He is also the resident trainer of the Philippine Trade Training Center on the use and application of Statistical Process Control for the last 10 years. He is Black Belt on Six Sigma and is also currently a faculty at the Department of Industrial Engineering at the Gokongwei College of Engineering of De La Salle University Manila where he also earned his bachelor in science and masters in science degree in Industrial Engineering.