Evaluating and Improving the Measurement Process Through Measurement Systems Analysis
July 12-13, 2018, 8:30 am to 5:00 pm
Lord Kelvin cannot be more correct a century ago when he said that we cannot fully understand what we don’t measure. And thus organizations have institutionalized and required gathering of measurements for their processes and the corresponding characteristics of the products that are made to understand and monitor the level of quality at any point in time. The data gathered from this becomes the basis for key point decisions of intervening and doing corrective actions when necessary
As much as organizations are rightly concerned about the quality of their processes and products, they should also be conscious about the quality of their measurement systems. A measurement system of unacceptable quality- that is unreliable and incapable, will not show and give the true characteristics that are sought to be measured.
Worse, such a scenario can lead off to a wrong call of action such as rejecting a good product or judging a process to be a stable when it is not. The validity of an organization’s actions and decisions rest on the integrity of the data it uses which subsequently relies on the quality of the measurement system used.
This 2-day training program intends to impart and give a fundamental working knowledge of a body of scientific technique that objectively evaluates and assesses an organization’s measurement system. It will make participants aware that the measurement system is more than the measuring device or equipment. It will seek to familiarize them on the various measurement system studies, the steps on how to conduct these, how to analyze the results obtained and the insights that can be culled that could be used to plan and take the correction and improvement needed. The methodology can be used regardless of whether the data gathered is measured through a device or just visually obtained.
The learning session will be composed of experimental simulations, exercises and discussions where these will serve as a channel for the participants to learn and put into practice the concepts and principles involved and also give the them a view of how the guidelines of measurement systems analysis (MSA) could apply to real-work settings. As such the session will be strictly limited to 18 participants only. This is to ensure a high engagement level and interaction between the Mentors/Facilitators and the participants.
Learning Session Outline
How you will benefit
Broaden your view about measurement systems from devices or inspectors to a process
The environment and conditions under which the measurement is taken can affect the quality of data being obtained. More than that, the procedure, instrument set-up, tooling, fixtures, software and even the part being measured can all contribute to the level or value of the number being read or recorded. Knowing Measurement System Analysis (MSA) helps you understand that measurement is more than the device or the equipment and let you see how all of these factors come together to constitute the measurement process and determine its quality.
Realize and understand why calibration will never be enough!
Calibration merely focuses on bringing the measuring device to set standards but totally misses the process perspective of getting measured data. Not to say it is unnecessary but it does not encompass the holistic measurement process perspective and that’s why your equipment and devices might all be well calibrated but your measurement system is still a failure.
Get leads on how to improve your measurement process.
You will see that MSA is very particular with capturing the total measurement system variation and breaking this down and attributing it into its different components and causes from the measurement process. It is only when one understands where these variations come from can one properly plan the right course of action to take. And by the way, if you think your measurement problem is scale, magnitude or time dependent- MSA can be a big help too!
Break free from the thinking that visual inspection will always be subjective!
Color, texture, gloss and other similar quality characteristics- we tend to accept that fallouts and customer rejections from these can never be avoided because it could be a matter of personal taste. When visually assessed quality characteristics are involved, organizations can either tend to be overly strict with inspection or go to the other extreme of risking external quality failure by just letting the customers say it is not acceptable. Either way it is costly. With MSA one need not stick to such a belief.
Complements and gets your other quality initiatives going!
This will be great for those already into or planning to get into Six Sigma, SPC and ISO accreditation. For one, Six Sigma is highly data reliant and one should be confident about data integrity. So is it with SPC- we rely on charted data to judge whether the process is stable or not so as to tell what kind of process action to take. As for ISO, we all know that MSA will always pass as a tool to highlight for the auditors and accreditors!
We’ll make it fun!
“Learn by doing, do by playing!” The training-workshop program will use activities to facilitate learning and these are designed to be fun and interactive. While we cannot avoid statistics- this will be made very manageable by the software we will use and we will show you how statistics can be useful and practical!
Who Should Attend
Process/Product and Quality Engineers, Quality Assurance Managers, Quality Analyst and Assurance Personnel, Test Engineers and Analysts, Auditors, Quality Management Systems Drivers/Champions or Implementers and others who are directly responsible or indirectly accountable for developing, deploying and improving the measurement process for their organization’s products and processes.
Participants will have to bring their own laptops for the MSA 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.
Emil Adrian V. Fernandez
Emil Adrian Fernandez is currently a part-time faculty at the Department of Industrial Engineering at the Gokongwei College of Engineering of De La Salle University Manila and holds a Bachelor and Masters of Science degree in Industrial Engineering from the same university. He has helped trained and assisted lean project implementation in manufacturing, health care, retail, education, agriculture and food service for the last 8 years. He is also the resident speaker for Lean Training, Kaizen and Six Sigma at the Philippine Trade Training Center under the Department of Trade and Industry.