Shipulski On Design

Posts Tagged ‘Engineering Mindset’

Design for Manufacturing (DFM) is all about reducing the cost of piece-parts. Design for Assembly is all about reducing the cost of putting things together (assembly).  What’s often forgotten is that function comes first.  Change the design to reduce part cost, but make sure the product functions well.  Change the parts (eliminate them) to reduce assembly cost, but make sure the product functions well.

Paradoxically, DFM and DFA are all about function.

Here’s a link to a short video that explains DFM and DFA: link to video. (and embedded below)

Our organizations are set up in silos, and we’re measured that way. (And we wonder why we get local optimization.) At the top of engineering is the VP of the Red Team, who is judged on what it does – product.  At the top of manufacturing is the VP of the Blue Team, who is judged on how to make it – process. Red is optimized within Red and same for Blue, sometimes with competing metrics.  What we need is Purple behavior.

Here’s a link to a short video (1:14): Organizationally Challenged

And embedded below:

Let me know what you think.

Design is typically limited to function – what it does – and is done by engineering (red team).  Manufacturing is all about how to make it and is done by manufacturing (blue team).  Working separately there is local optimization.  We must broad to design to include both – red and blue. Working across red-blue boundaries creates magic.  This magic can only be done by the purple team.

Below is my first video post.  I hope to do more.  Let me know what you think.

I think we underestimate the power of now, and I think we waste too much emotional energy on the past and future.

We use the past to create self-inflicted paralysis, to rationalize inaction. We dissect our failures to avoid future missteps, and push progress into the future. We make no progress in the now. This is wrong on so many levels.

In all written history there has never been a mistake-free endeavor. Never. Failure is part of it. Always. And learning from past failures is limited because the situation is different now: the players are different, the technology is different, the market is different, and the problems are different. We will make new mistakes, unpredictable mistakes. Grounding ourselves in the past can only prepare us for the previous war, not the next one.

Like with the past, we use the future’s uncertainty to rationalize inaction, and push action into the future. The future has not happened yet so by definition it’s uncertain. Get used to it. Embrace it. I’m all for planning, but I’m a bigger fan of doing, even at the expense of being wrong. Our first course heading is wrong, but that doesn’t mean the ship doesn’t sail. The ship sales and we routinely checks the heading, regularly consults the maps, and constantly monitors the weather. Living in the now, it’s always the opportunity for a course change, a decision, or an action.

The past is built on old thinking, and it’s unchangeable – let it go. Spend more emotional energy on the now. The future is unpredictable an uncontrollable, and it’s a result of decisions made in the now – let it go. Spend more energy on the now.

It’s tough to appreciate the power of now, and maybe tougher to describe, but I’ll take a crack at it. When we appreciate the power of now we have a bias for action; we let go of the past; we speculate on the future and make decisions with less than perfect information; and we constantly evaluate our course heading.

Give it a try. Now.

When asked how to improve manufacturing, the recipe is clear: lean.  When asked how to improve engineering, the recipe: there isn’t one.  Each engineering improvement effort is unique; though there are common themes and building blocks, each has its own fingerprint.

Each company has its own strengths, weaknesses, opportunities and threats; each company has unique products and markets; each its own goals; each its own culture; each its own future state. Informed by uniqueness, the recipe is unique. To create your unique improvement recipe, I suggest WHY, WHAT, HOW.

WHY
Before your engineering improvement recipe can be formed, the fundamental shaping question must be answered.  Take a breath, fire up your laptop, put on your headphones, and queue up your best music. Type this question:

WHY does our business demand we improve engineering?

Now, type the answer. (Literally.) Use nouns and verbs to explain why engineering must improve. If you can’t, stop. Without a clear, concise, jargon-free answer nothing can be done to advance the cause.  (Though there can be plenty of activity, there can be no progress.) Without the WHY, you cannot pass GO.  You must create a clear, concise WHY.

Seek out help from trustworthy people to create the WHY. Don’t move forward until you understand it well enough to explain it to the engineering organization.  Now, with WHY in place, it’s time for WHAT.

WHAT
Informed by WHY, it’s time for WHAT. Secure a quiet spot, scare up a big piece of paper, and grab your favorite pen. On the top of the page, write this question:

WHAT does engineering improvement look like?

Now, draw the picture. (Literally.) Use sketches, scribbles, arrows, blocks, and people’s names to describe what improved engineering looks like.  Sit in the future and describe it in present tense.  Once drawn, review it with folks you trust, revise it, and repeat.  If you cannot draw the future, keep trying.  Once you have something, review it with folks you trust, revise it, and repeat. Don’t move forward until you draw it clearly enough to explain it to the engineering organization. And with WHAT in place, it’s time for HOW.

HOW
The first step of HOW is similar to WHAT. Pick up your favorite pen, come back to the now, and draw a picture of today’s engineering capabilities, engineering’s current state.  Again, use scribbles, blocks, arrows, and names.

The second step is to define the difference between future and current states.  With future and current state pictures side-by-side, perform a mathematical subtraction: future state – current state.  The difference is HOW. A block in future state that’s not part of the current state is a new thing that must be created; a new arrow in the future state is an activity, interaction, or relationship that must be created; a new person, named or unnamed, represents new thinking. Things that appear in both states are strengths to build on.

The third step, prioritization.  Start here:

What engineering strengths will we build on?

It’s important start with strengths. It sends the right message to the engineering organization: we must build on build on what works, build on what got us here. Engineers need to know that, fundamentally, their work is good, and major building blocks are in place, the foundation is solid.

What development areas will we improve?

Take care with this one.  To avoid a demoralized engineering team, there should be fewer development areas than strengths.  Though there may be many development areas, call out only the most important.

What’s the right first bite?

The most important improvements are those that strongly support the WHY; there’s a natural sequence of things (socks before shoes) that must be respected;  and there’s a finite amount of work that can be done.  Use these three lenses as the start of a prioritization framework.

Building blocks for engineering improvement are the same for all companies: people, tools, and processes, but there are many types of people, countless engineering tools, and all processes can be improved. WHY, WHAT, HOW can help define your unique improvement fingerprint: the right people, the right tools, the right processes, shaped by your unique company goals, and improved in right sequence.

Creating new products that provide a useful function is hard, and insuring they function day-in and day-out is harder.  Plain and simple, engineering is hard.

Planes must fly, cars must steer, and Velcro must stick. But, at every turn, there are risks, reasons why a new design won’t work, and it’s the engineer’s job to make the design insensitive to these risks. (Called reducing signal to noise ratio in some circles.) At a fundamental level engineering is about safety, and at a higher level it’s about sales – no function, no sales.

That’s why at every opportunity engineers reduce risk . (And thank goodness we do.) It makes sense that we’re the ones that think things through to the smallest detail, that can’t move on until we have the answer, that ask odd questions that seem irrelevant. It all makes sense since we’re the ones responsible if the risks become reality. We’re the ones that bear ultimate responsibility for product function and safety, and, thankfully, it shapes us.

But there’s a dark side to this risk reduction mindset – where we block our thinking, where we don’t try something new because  of problems we think we may have, problems we don’t have yet. The cause of this innovation-limiting behavior: problem broadening, where we apply a thick layer of problem over the entirety of a new concept, and declare it unworkable. Truth is, we don’t understand things well enough to make that declaration, but, in a knee-jerk way, we misapply our natural risk reduction mindset. Clearly, problems exist when doing new, but real problems are not broad, real problems are not like peanut butter and jelly spread evenly across the whole sandwich. Real problems are narrow; real problems are localized, like getting a drip of jelly on your new shirt.

How to get the best of both worlds? How to embrace the risk reduction mindset so products are safe and help engineering folks to try something radically new? To innovate?

We’ve got the risk reduction world covered, so it’s all about enhancing the try-something-new side. To do this we need to combat problem broadening; we need a process for problem narrowing. With problem narrowing, engineers drill down until the problem is defined as the interaction of two elements (the jelly and your shirt), defined in space (the front of your shirt) and time (when the knife drops a dollop on your shirt). Where problem broadening tells us to avoid making peanut butter and jelly sandwiches altogether (those sandwiches will always dirty our shirts), problem narrowing tells use to put something between the knife and the front of your shirt, or to put on your new shirt after you make your sandwich, or to do something creative to keep the jelly away from our shirt.

Problems narrow as knowledge deepens. Work through your fears, try something new, and advance your knowledge. Then define your problems narrowly, and solve them.

Innovate.

We all want to increase profits, but sometimes we get caught in the details and miss the big picture:

It’s a simple formula, but it provides a framework to focus on fundamentals. While all parts of the organization contribute to profit in their own way, engineering’s work has a surprisingly broad impact on the equation.

The market sets price, but engineering creates function, and improved function increases the price the market will pay. Design the product to do more, and do it better, and customers will pay more. What’s missing for engineering is an objective measure of what is good to the customer.

To read the complete article, click this link.

It’s high tide for innovation – innovate, innovate, innovate. Do it now; bring together the experts; hold an off-site brainstorm session; generate 10⁶ ideas. Fast and easy; anyone can do that. Now the hard part: choose the projects to work on. Say no to most and yes to a few. Choose and execute.

To choose we use processes to rank and prioritize; we assign scores 1-5 on multiple dimensions and multiply. Highest is best, pull the trigger, and go. Right? (Only if it was that easy.) Not how it goes.

After the first round of scoring we hold a never-ending series of debates over the rankings; we replace 5s with 3s and re-run the numbers; we replace 1s with 5s and re-re-run. We crank on Excel like the numbers are real, like 5 is really 5. Face it – the scores are arbitrary, dimensionless numbers, quasi-variables data based on judgment. Face it – we manipulate the numbers until the prioritization fits our judgment.

Clearly this is a game of judgment. There’s no data for new products, new technologies, and new markets (because they don’t exist), and the data you have doesn’t fit. (That’s why they call it new.) No market – the objective is to create it; no technology – same objective, yet we cloak our judgment in self-invented, quasi-variables data, and the masquerade doesn’t feel good. It would be a whole lot better if we openly acknowledged it’s judgment-based – smoother, faster, and more fun.

Instead of the 1-3-5 shuffle, try a story-based approach. Place the idea in the context of past, present, and future; tell a tale of evolution: the market used to be like this with a fundamental of that; it moved this way because of the other, I think. By natural extension (or better yet, unnatural), my judgment is the new market could be like this… (If you say will, that’s closeted 1-3-5 behavior.) While it’s the most probable market in my judgment, there is range of possible markets…

Tell a story through analogy: a similar technology started this way, which was based on a fundamental of that, and evolved to something like the other. By natural evolution (use TRIZ) my technical judgment is the technology could follow a similar line of evolution like this…. However, there are a range of possible evolutionary directions that it could follow, kind of like this or that.

And what’s the market size? As you know, we don’t sell any now. (No kidding we don’t sell any, we haven’t created the technology and the market does not exist. That’s what the project is about.) Some better questions: what could the market be? Judgment required. What could the technology be? Judgment. If the technology works, is the market sitting there under the dirt just waiting to be discovered? Judgment.

Like the archeologist, we must translate the hieroglyphs, analyze the old maps, and interpret the dead scrolls. We must use our instinct, experience, and judgment to choose where to dig.

Like it or not, it’s a judgment game, so make your best judgment, and dig like hell.

What’s the risk?

What’s to lose?

What’s in the way?

What are you afraid of?

a

Try it.

I think we can turn around the US economy, one company at a time.  Here’s how:

To start, we must make a couple commitments to ourselves.  1. We will do what it takes to manufacture products in the US because it’s right for the country. 2. We will be more profitable because of it.

Next, we will set up a meeting with our engineering community, and we will tell them about the two commitments. (We will wear earplugs because the cheering will be overwhelming.) Then, we will throw down the gauntlet; we will tell them that, going forward, it’s no longer acceptable to design products as before, that going forward the mantra is: half the cost, half the parts, half the time. Then we will describe the plan.

On the next new product we will define cost, part count, and assembly time goals 50% less that the existing product; we will train the team on DFMA; we will tear apart the existing product and use the toolset; we will learn where the cost is (so we can design it out); we will learn where the parts are (so we can design them out); we will learn where the assembly time is (so we can design it out).

On the next new product we will front load the engineering work; we will spend the needed time to do the up-front thinking; we will analyze; we will examine; we will weigh options; we will understand our designs. This time we will not just talk about the right work, this time we will do it.

On the next new product we will use our design reviews to hold ourselves accountable to the 50% reductions, to the investment in DFMA tools, to the training plan, to the front-loaded engineering work, to our commitment to our profitability and our country.

On the next new product we will celebrate the success of improved product functionality, improved product robustness, a tighter, more predictable supply chain, increased sales, increased profits, and increased US manufacturing jobs.

On the next new product we will do what it takes to manufacture products in the US because it’s the right thing for the country, and we will be more profitable because of it.

If you’d like some help improving the US economy one company at a time, send me an email (mike@shipulski.com), and I’ll help you put a plan together.

a

p.s. I’m holding a half-day workshop on how to implement systematic cost savings through product design on June 13 in Providence RI as part of the International Forum on DFMA – here’s the link. I hope to see you there.

More with more doesn’t cut it anymore, just not good enough.

The behavior we’re looking for can be nicely described by the old TV game show Name That Tune, where two contestants competed to guess the name of a song with the fewest notes. They were read a clue that described a song, and ratcheted down the notes needed to guess it. Here’s the nugget: they challenged themselves to do more with less, they were excited to do more with less, they were rewarded when they did more with less. The smartest, most knowledgeable contestants needed fewer notes. Let me say that again – the best contestants used the fewest notes.

In product design, the number of notes is analogous to part count, but the similarities end there. Those that use the fewest are not considered our best or our most knowledgeable, they’re not rewarded for their work, and our organizations don’t create excitement or a sense of challenge around using the fewest.

For other work, the number of notes is analogous to complexity. Acknowledge those that use the fewest, because their impact ripples through your company, and makes all your work easier.