Archive for the ‘Product Development’ Category

How To Create a Sea of Manufacturing Jobs

It’s been a long slide from greatness for US manufacturing.  It’s been downhill since the 70s – a multi-decade slide.  Lately there’s a lot of hype about a manufacturing renaissance in the US – re-shoring, on-shoring, right-shoring.  But the celebration misguided.  A real, sustainable return to greatness will take decades, decades of single-minded focus, coordination, alignment and hard work – industry, government, and academia in it together for the long haul.

To return to greatness, the number of new manufacturing jobs to be created is distressing. 100,000 new manufacturing jobs is paltry. And today there is a severe skills gap.  Today there are unfilled manufacturing jobs because there’s no one to do the work. No one has the skills. With so many without jobs it sad.  No, it’s a shame.  And the manufacturing talent pipeline is dry – priming before filling.  Creating a sea of new manufacturing jobs will be hard, but filling them will be harder.  What can we do?

The first thing to do is make list of all the open manufacturing jobs and categorize them. Sort them by themes: by discipline, skills, experience, tools.  Use the themes to create training programs, train people, and fill the open jobs. (Demonstrate coordinated work of government, industry, and academia.)  Then, using the learning, repeat.  Define themes of open manufacturing jobs, create training programs, train, and fill the jobs.  After doing this several times there will be sufficient knowledge to predict needed skills and proactive training can begin.  This cycle should continue for decades.

Now the tough parts – transcending our short time horizon and finding the money.  Our time horizon is limited to the presidential election cycle – four years, but the manufacturing rebirth will take decades. Our four year time horizon prevents success. There needs to be a guiding force that maintains consistency of purpose – manufacturing resurgence – a consistency of purpose for decades.  And the resurgence cannot require additional money. (There isn’t any.)  So who has a long time horizon and money?

The DoD has both – the long term view (the military is not elected or appointed) and the money.  (They buy a lot of stuff.) Before you call me a war hawk, this is simply a marriage of convenience.  I wish there was, but there is no better option.

The DoD should pull together their biggest contractors (industry) and decree that the stuff they buy will have radically reduced cost signatures and teach them and their sub-tier folks how to get it done.  No cost reduction, no contract.  (There’s no reason military stuff should cost what it does, other than the DoD contractors don’t know how design things cost effectively.) The DoD should educate their contractors how to design products to reduce material cost, assembly time, supply chain complexity, and time to market and demand the suppliers.  Then, demand they demonstrate the learning by designing the next generation stuff.  (We mistakenly limit manufacturing to making, when, in fact, radical improvement is realized when we see manufacturing as designing and making.)

The DoD should increase its applied research at the expense of its basic research.  They should fund applied research that solves real problems that result in reduced cost signatures, reduce total cost of ownership, and improved performance.  Likely, they should fund technologies to improve engineering tools, technologies that make themselves energy independent and new materials.  Once used in production-grade systems, the new technologies will spill into non-DoD world (broad industry application) and create new generation products and a sea of manufacturing jobs.

I think this is approach has a balanced time horizon – fill manufacturing jobs now and do the long term work to create millions of manufacturing jobs in the future.

Yes, the DoD is at the center of the approach. Yes, some have a problem with that.  Yes, it’s a marriage of convenience. Yes, it requires coordination among DoD, industry, and academia.  Yes, that’s almost impossible to imagine. Yes, it requires consistency of purpose over decades. And, yes, it’s the best way I know.

What is Design for Manufacturing and Assembly?

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)

 

Organizationally Challenged – Engineering and Manufacturing

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.

We must broaden “Design”

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.

 

 

How To Fix Product Development

The new product development process creates more value than any other process. And because of this it’s a logical target for improvement.  But it’s also the most complicated business process.  No other process cuts across an organization like new product development. Improvement is difficult.

The CEO throws out the challenge – “Fix new product development.” Great idea, but not actionable. Can’t put a plan together.  Don’t know the problem.  Stepping back, who will lead the charge? Whose problem is it?

The goal of all projects is to solve problems.  And it’s no different when fixing product development – work is informed by problems. No problem, no fix. Sure you can put together one hell of a big improvement project, but there’s no value without the right problem. There’s nothing worse than spending lots of time on the wrong problem.  And it’s doubly bad with product development because while fixing the wrong problem engineers are not working on the new products.  Yikes.

Problems are informed by outcomes.  Make a short list of desired outcomes and show the CEO.  Your list won’t be right, but it will facilitate a meaningful discussion.  Listen to the input, go back and refine the list, and meet again with the CEO.  There will be immense pressure to start the improvement work, but resist.  Any improvement work done now will be wrong and will create momentum in the wrong direction.  Don’t move until outcomes are defined.

With outcomes in hand, get the band back together. You know who they are.  You’ve worked with them over the years. They’re influential and seasoned.  You trust them and so does the organization.  In an off-site location show them the outcomes and ask them for the problems. (To get their best thinking spend money on great food and a relaxing environment.)  If they’re the right folks, they’ll say they don’t know.  Then, they’ll craft the work to figure it out – to collect and analyze the data.  (The first part of problem definition is problem definition.) There will be immense pressure to start the improvement work, but resist.  Any work done now will be wrong.  Don’t move until problems are defined.

With outcomes and problems in hand, meet with the CEO.  Listen.  If outcomes change, get the band back together and repeat the previous paragraph. Then set up another meeting with the CEO.  Review outcomes and problems.  Listen.  If there’s agreement, it’s time to put a plan together.  If there’s disagreement, stop.  Don’t move until there’s agreement.  This is where it gets sticky.  It’s a battle to balance everyone’s thoughts and feelings, but that’s your challenge.  No words of wisdom on than – don’t move until outcomes and problems are defined.

There’s a lot of emotion around the product development process.  We argue about the right way to fix it – the right tools, training, and philosophies. But there’s no place for argument.  Analyze your process and define outcomes and problems.  The result will be a well informed improvement plan and alignment across the company.

Make your green programs actionable

There’s a big push to be green. Though we want to be green, we’re not sure how to get there. We’ve got high-level metrics, but they’re not actionable. It’s time to figure out what we can change to be green.

One way manufacturers can be green is to reduce their carbon footprint. That’s one level deeper than simply “being green,” but it’s not actionable either. Digging deeper, manufacturers can reduce their carbon footprint by generating less greenhouse gases, specifically carbon dioxide. Reducing carbon dioxide production is a good goal, but it’s still not actionable.

Looking deeper, carbon dioxide is the result of burning fossil fuels,

Click link for the whole story.

Imagine your next innovation

Situation A

  • The economy has picked up, but your sales have dropped off.
  • Competitors’ products work better than yours.
  • Competitors’ product launches are more frequent than yours.
  • The number of competitors is increasing.
  • The sales team is angry – they cannot sell against competitors.
  • The product roadmap is more of the same.

The situation is clear – you’re behind your competitors, and they are accelerating. The action plan is clear – leapfrog your competitors.

Declare failure with the more-of-the-same product roadmap, and imagine a new one. The new one must leapfrog your competitors (though they’re accelerating). Imagine a new product roadmap that’s so radical it’s borderline ridiculous, that’s so outrageous you’re afraid to present it. (A sign it’s right on-the-mark.) Imagine one you have little to no idea how to do. Now, take the best of the ridiculous product roadmap and replace the oldest parts of the old one. Create a nice hybrid, and make it happen.

Situation A is tough because there is stress around the company’s future, and it’s easy because there’s a clear reason to innovate – company survival.

a

Situation B

  • The economy has dropped off, but your sales have picked up.
  • Your products work better than your competitors’.
  • Your product launches are more frequent than your competitors’.
  • There the number of competitors is decreasing.
  • The sales team is happy – they can sell against competitors.
  • The product roadmap is more of the same.

The situation is clear – you’re ahead of your competitors, and they are accelerating. The action plan is clear – leapfrog yourself.

Declare failure with the more-of-the-same product roadmap, and imagine a new one. The new one must leapfrog yourself (though you’re accelerating). Imagine a new product roadmap that’s so radical it’s borderline ridiculous, that’s so outrageous you’re afraid to present it. (A sign it’s right on-the-mark.) Imagine one you have little to no idea how to do. Now, take the best of the ridiculous product roadmap and replace the oldest parts of the old one.  Create a nice hybrid, and make it happen.

Situation B is easy because there is no stress around the company’s future, and it’s difficult because there is no clear reason to innovate.

There’s no reason to argue which situation you’re in, no need to argue which is more difficult. Either way, leapfrog something.

WHY, WHAT, HOW to Improve Engineering

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.

Engineering’s Contribution to the Profit Equation

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

Profit = (Price – Cost) x Volume.

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.

Secret Sauce that Doubles Profits

Last month a group of engineers met secretly to reinvent the US economy one company at a time.  Here are some of the players, maybe you’ve heard of them:

Alcoa, BAE, Boeing, Bose, Covidien, EMC, GE Medical, GE Transportation, Grundfos, ITT, Medrad, Medtronic, Microsoft, Motorola, Pratt & Whitney, Raytheon, Samsung, Schneider Electric, Siemens, United Technologies, Westinghouse, Whirlpool.

Presenter after presenter the themes were the same: double profits, faster time to market, and better products – the triple crown of product development. Magic in a bottle, and still the best kept secret of the product development community. (No sense sharing the secret sauce when you can have it all for yourself.)

Microsoft used the secret sauce to increase profits of their hardware business by $75 million; Boeing recently elevated the secret methodology to the level of lean. Yet it’s still a secret.

What is this sauce that doubles profits without increasing sales?  (That’s right, doubles.) What is this magic that decreases time to market? That reduces engineering documentation? That reduces design work itself? What is this growth strategy?

When trying to spread it on your company there are some obstacles, but the benefits should be enough to carry the day.  First off, the secret sauce isn’t new, but double the profits should be enough to take a first bite.  Second, its name doesn’t roll off the tongue (there’s no sizzle), but decreased time to market should justify a taste test. Last, design engineering must change its behavior (we don’t like to do that), but improved product functionality should be enough to convince engineering to swallow.

There are also two mapping problems: First, the sauce has been mapped to the wrong organization – instead of engineering it’s mapped to manufacturing, a group that, by definition, cannot do the work. (Only engineering can change the design.) Second, the sauce is mapped to the wrong word – instead of profit it’s mapped to cost.  Engineering is praised for increased profits (higher function generates higher profits) and manufacturing is responsible for cost – those are the rules.

With double profits, reduced time to market, and improved product function, the name shouldn’t matter. But if you must know, its name is Design for Manufacturing and Assembly (DFMA), though I prefer to call it the secret sauce that doubles profits, reduces time to market, and improves product function.

It’s all about judgement.

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.

Mike Shipulski Mike Shipulski

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