Showing posts with label maximum value table. Show all posts
Showing posts with label maximum value table. Show all posts

11 March 2020

What is Maximum Value Table?


Maximum Value Table (MVT) is one of the powerful tools in Modern QFD that is explained in the ISO 16355 standard. Below, let us share an excerpt from a recent QFDI newsletter, describing the purpose and role of the MVT and why it is important to master this tool before attempting a House of Quality matrix.
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Maximum Value Table lets you deploy the same focused of voice of customer analysis as the House of Quality (HoQ) matrix does, but with greater speed, efficiency, and focus. It is an invaluable tool when budget, manpower and development time are limited.

Its purpose is to deploy only the highest priority Customer Needs into a solution design, build, and commercialization such that every necessary action to satisfy those needs is taken by each and every relevant organization department in a timely and quality way. No step must be overlooked. This is how customer satisfaction with the new product is assured.

The MVT is not constructed in one meeting, but it is populated as the design progresses, with each department adding its information in reflection of prior entries and in anticipation of later entries. It creates a traceable record that illustrates how every necessary action to achieve customer satisfaction has been sufficiently performed.

It is important to appreciate that only with a true multi-functional team can all of the MVT columns get addressed.  This forces cross-functional collaboration toward a common business goal. This is exactly how it assures the final shipped product will satisfy the highest priority customer needs.

The MVT achieves its purpose of providing maximum value to the customer by assuring their highest priority problems, opportunities, and image concerns are resolved by the new product or service. The MVT provides maximum value to the organization by aligning all critical resources (time, people, money, information) to develop and commercialize the new product or service. Value is achieved only when the customer chooses our new product or service and puts it into service to satisfy their needs.

Which should we use, MVT or HoQ?

The columns of the MVT are indicators of what, if any, QFD matrices from the Comprehensive QFD toolset described in the eight parts of ISO 16355 may be useful for more detailed analysis.

A QFD matrix is an effect-to-cause relationship matrix between two data sets. This means that any two MVT columns that share a relationship could be juxtaposed into a matrix that would indicate the strength of the relationship and transfer the weights of the rows into weights for the columns.

The House of Quality (HoQ) is the most well-known among the 30+ matrices in Comprehensive QFD. The HoQ juxtaposes a large set of Customer Needs against a large set of Functional Requirements. The top priority items in the HoQ, that is, Customer Needs and Functional Requirements, are commonly found at the start of the MVT.

As such, the MVT can often replace the HoQ when resources are constrained. Alternatively, the MTV can be used to model which Comprehensive QFD matrices are needed. There is no penalty to doing the MVT first, because by definition, the highest priority information derived from QFD matrices should already be in the columns of the MVT. A well executed MTV is more valuable than a poorly or partially deployed HoQ matrix.

Where can I learn the Maximum Value Table (MVT)?

The Maximum Value Table (MVT) is taught at the QFD Green Belt® training.

The QFD Institute offers public QFD Green Belt® courses several times a year. The same workshop is also available at your business locations. Please inquire by email.

Most attendees are able to begin using this fabulous tool in their work, once they get with it through hands-on practices in the class.


Notes:

Transferring the Customer Need weights into Functional Requirement weights in the HoQ is conventionally done using Independent Distribution calculations (in Excel this function is called SumProduct). These calculations do not support the use of ordinal scale numbers, which was inherited from the 1960-70s Japanese QFD in the pre-computer era. In the late 1980s, the QFD math was upgraded to more precise ratio scale numbers based on the analytic hierarchy process (AHP) and other best practices from Multicriteria Decision Making theory. This upgrade is now taught in the QFD Green Belt® training (including Excel worksheets) and guidance is detailed in the ISO 16355-5:2017 standard.





21 July 2013

QFD for public transportation, software development, eco-friendly supply chain

The 2013 International Symposium on QFD (ISQFD) will be held on September 6-7 in Santa Fe, New Mexico USA.

Whether you are new to QFD or have many years of experience, this ISQFD will be an excellent opportunity to find out how QFD is used today in real projects, how much the method has advanced in recent years, innovative new tools / applications / research, as well as global trends in new product development and design quality.

This and next few posts will introduce the exciting presentations that are planned for September 6–7. We hope you will join us.

PS: This 2-day symposium is complimentary to the attendees of QFD Green Belt®, QFD Black Belt®, and Update courses.
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Application of QFD within a Co-opetition Network of Public Transport Organizations
(image - public transportation)This case study reports a QFD application in German public transportation systems. Companies that provide public transportation services are competitors as well as cooperative partners. In this setting of co-opetition (competitive cooperation), QFD is being applied with the vision of offering passengers (customers) seamless transportation services. This is an ongoing research project funded by the German Federal Ministry of Education and Research. The presentation will discuss adaptations in application methods as well as lessons learned.
Keywords: Public Transport, Co-opetition Network, Cluster Analysis, QFD Case Study



Software Development Method Based on Twin Peaks Model with QFD
(image - Twin Peaks Model)In software system development, it is important to analyze the stakeholders'  requirements and design the architecture. One proposed method for this is the twin peaks model which intertwines software requirements and architectures to achieve incremental development and speedy delivery. The researchers used QFD to clarify these relationships in hope to propose more efficient software development.
Keywords: Software Development, Requirements, Architecture Design


Modern QFD Application on a Supply Chain to Become Green
(image - Green Supply Chain)Increasing concerns for resource scarcity and global pollution beseeches us for more environmentally friendly practice in supply chain management. This study is based on the voice of customer (VoC) data collected from the aluminum accessories industry located in Izmir, Turkey. Using the Modern QFD's Maximum Value Table, the VOC were deployed into technical characteristics that are essential for the greener practices of the sector's supply chain management. This project is going to provide the academicians an insight into usability of Modern QFD and to the industry professionals the methods for extending their green activities. 
Keywords: Green Supply Chain Management, Modern QFD, Maximum Value Table, Aluminum sector

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More Presentations ...

Public QFD Courses at this symposium

How to Attend



20 October 2012

Delivering crystal-clear brand identity from end-to-end

"Drunk With Power," an October 14, 2012 New York Times article by Daniel Duane, describes an on-line wine seller named Jon Rimmerman Jon, who earned  his retail cred while at Starbucks. Jon summarizes it as this:

photo of wine
 “the beauty of retail marketing … can be roughly translated as defining a crystal-clear brand identity and then ensuring that everything from the product to customer relations reinforces it."

I like his words, and would like to give them a QFD flavor.

The purpose of modern Blitz QFD® is to define and prioritize with crystal clarity, that which is most important to the customer, and then ensure that everything from the product to customer relations reinforces it.

Let me explain.

"Crystal clarity" of what matters most to customers. In QFD, this means having a customer need that truly states the value proposition to the customer. Typically, this is the benefit a customer receives from having a problem solved, an opportunity enabled, or image enhanced. It should be independent of the product, its features, and its technology. A Voice of Customer (VOC) statement such as "fits in my pocket" is not a customer need, but rather a fuzzy set of dimensions.

With the Customer Voice table, a Blitz QFD® tool, you can translate that into true customer needs such as "I can carry with me easily," "Easy to store in my pocket," "Easy to retrieve from my pocket," "Stays in my pocket when I move around," "Does not damage my pocket,"  etc. This helps us understand these true benefits and avoid later design mistakes resulting in "the product falling on floor when I lean over," "the product tearing my pocket off," "the product is too hard to remove from my pocket when I want to get it out quickly," etc.

Crystal clarity means the need statement must be at a sufficient level of detail to be actionable in design, which is typically a tertiary level on a customer needs hierarchy. Abstract expressions such as "convenient" should be deployed to more detail.

Crystal clarity also means that we have accurate priority values. The QFD community replaced the 1960s' ordinal scale weights with AHP-derived ratio scale weights in the mid-1980s, first in Japan and then later in the US. Unfortunately, most English language QFD books and articles were written before this and missed the update. Even today, new QFD texts still cite these early works, and continue the math errors resulting from using ordinal weights in both customer needs and matrix relationships, as well as misuse of matrices including using a House of Quality matrix (HOQ) when it is not needed.

click to go to International QFD Green Belt® Certificate Course
This is why the QFD Institute Green Belt® and Black Belt® courses are strongly recommended for professionals in product/service/business development, marketing, design, sigma/lean/DMAIC black belts and so forth. You will learn how to use the modern AHP approach and we provide updated Excel templates. Without AHP clarity, your limited resources risk missing what is truly important and deploying lower priority things.

"Ensuring that everything from product to customer relations reinforces it" is the QFD call for end-to-end quality assurance. Depending on your industry, product, and company, this will vary, but typically describes, end-to-end, the full development, commercialization, and retirement of the product, service, or software. In other words, we must assure that any weakness related to the most important customer needs are made robust. For example, if poor packaging compromises the sterility of a medical supply item, it becomes scrap (let's hope!), wastes money, ruins reputations, could result in injury or death, etc., no matter how well the function and performance of the item was designed.

In classical QFD, each of the design, develop, test, procure, produce, assemble, package, ship, store, sell, support, and other commercialization dimensions has its own matrix. Since the matrix only compares two dimensions at at time, anywhere from four to thirty matrices have been identified in the literature. Maybe in the 1960s-80s, we had enough time and people to analyze these, but that is difficult these days.

In Blitz QFD®, all these matrices have been replaced for the most part by a single Maximum Value table. One tool goes end-to-end through all the dimensions. How do we do it – with crystal clarity focus on what matters most to customers. This is where we apply our best efforts, first. Makes sense, doesn't it? The Maximum Value table is one of the key tools taught in the QFD Green Belt® Course and QFD Black Belt® Course.

Additional training dates will be published at QFD Training & Events Calendar as they become confirmed. Or you can e-mail to us.


04 September 2012

Design for Safety? The dirty laundry of NPD!

I don't get to the supermarket as often as I should. But when I do, my eyes cast around for lost opportunities for product improvement.

On a recent shopping trip, I happened by the laundry detergent shelf and my eyes were drawn to a large, clear plastic container that contained small, 3/4" diameter colorful balls of laundry detergent.

You drop these detergent balls into the washing machine according to the amount of clothes and without the trouble of accurate measure or the mess of spilled powder. The container design was such that anybody could easily open it with one hand, which I guess is handy if you have the other arm full of dirty clothes.

What struck me immediately was that these colorful balls looked like candy in a candy jar that any child could open, and then put in their mouth.
image - a clear plastic jar of candy gums

How could a company that caters to families and household cleaning products (and also some snack foods), design something with such potential risks of a child eating laundry soap thinking it was a cookie? Certainly, this must have been thoroughly tested.

A quick Internet search on the smart phone told otherwise. Just three weeks earlier, in fact, a news report indicated that across the U.S., as many as 10 emergency calls were being made to the Poison Control Center each day regarding this product. Small children were "vomiting, wheezing and gasping" within minutes of biting into the detergent balls.

The manufacturer's response was  “We encourage consumers to keep the products out of the reach of children as with any household chemical.”

So what's the QFD connection?

Just like reliability, safety is a critical design element. Danger Mode and Effects Analysis should be a part of Safety Deployment in your QFD analyses. For users of Modern QFD, this means there should be a section in the Maximum Value table that addresses product and package safety concerns associated with critical customer needs.

For users of Classical QFD matrices, this means a Safety Deployment consisting of one or more matrices to identify and prioritize potential danger modes for additional study.

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