Shipulski On Design

Archive for the ‘Lean’ Category

Product costs, without product thinking, drop 2% per year. With product thinking, product costs fall by 50%, and while your competitors’ profit margins drift downward, yours are too high to track by conventional methods. And your company is known for unending increases in stock price and long term investment in all the things that secure the future.

The supply chain, without product thinking, improves 3% per year. With product thinking, longest lead processes are eliminated, poorest yield processes are a thing of the past, problem suppliers are gone, and your distributers associate your brand with uninterrupted supply and on time delivery.

Product robustness, without product thinking, is the same year-on-year. Re-injecting long forgotten product thinking to simplify the product, product robustness jumps to unattainable levels and warranty costs plummet. And your brand is known for products that simply don’t break.

Rolled throughput yield is stalled at 90%. With product thinking, the product is simplified, opportunities for defects are reduced, and throughput skyrockets due to improved RTY. And your brand is known as a good value – providing good, repeatable functionality at a good price.

Lean, without product thinking has delivered wonderful results, but the low hanging fruit is gone and lean is moving into the back office. With product thinking, the design is changed and value-added work is eliminated along with its associated non-value added work (which is about 8 times bigger); manufacturing monuments with their long changeover times are ripped out and sold to your competitors; work from two factories is consolidated into one; new work is taken on to fill the emptied factories; and profit per square foot triples. And your brand is known for best-in-class quality, unbeatable on time delivery, world class performance, and pioneering the next generation of lean.

The sales argument is low price and good payment terms. With product thinking, the argument starts with product performance and ends with product reliability. The sales team is energized, and your brand is linked with solid products that just plain work.

The marketing approach is stickers and new packaging. With product thinking, it’s based on competitive advantage explained in terms of head-to-head performance data and a richer feature set. And your brand stands for winning technology and killer products.

Product thinking isn’t for everyone. But for those that try – your brand will thank you.

We’ve been sufficiently polluted by lean and Six Sigma, and it’s time for them to go.

Masquerading as maximizers, these minimizers-in-sheep’s-clothing have done deep harm. Though Six Sigma is almost dead (it’s been irrelevant for some time now), it has made a lasting mark. Billed as a profit maximizer, it categorically rejects maximization. In truth, it’s a variation minimizer and difference reducer.  If it deviates, Six Sigma cuts its head off. Certainly this has a place in process control, but not in thinking control. But that’s exactly what’s happened. Six Sigma minimization has slithered off the manufacturing floor and created a culture of convergence. If your thinking is different, Six Sigma will clip it for you.

Lean is worse. All the buzz around lean is about maximizing throughput, but it doesn’t do that. It minimizes waste. But far worse is lean’s standard work. Minimize the difference among peoples’ work; make them do it the same; make the factory the same, regardless of the continent. All good on the factory floor, but lean’s minimization mania has spread like the plague and created a culture of convergence in its wake. And that’s the problem – lean’s minimization-standardization mantra has created a culture of convergence. If your thinking doesn’t fit in, lean will stomp it into place.

We need maximization at the expense of minimization, and divergence before convergence. We need creativity and innovation. But with Six Sigmaphiles and lean zealots running the show, maximization is little understood and divergence is a swear.

First we must educate on maximization. Maximization creates something that had not existed, while minimization reduces what is. Where Six Sigma minimization converges on the known right answer, creativity and innovation diverge to define a new question. The acid test: if you’re improving something you’re minimizing; if you’re inventing something you’re maximizing.

Like with He Who Shall Not Be Named, it’s not safe to say “diverge” out loud, because if you do, the lean Dementors will be called to suck out your soul. But, don’t despair – the talisman of guided divergence can save you.

With guided divergence, a team is given a creatively constructed set of constraints and very little time (hours) to come up with divergent ideas. The constraints guide the creativity (on target), and the tight timeline limits the risk – a small resource commitment. (Though counterintuitive, the tight timeline also creates remarkable innovation productivity.) Done in sets, several guided divergence sessions can cover a lot of ground in little time.

And the focused/constrained nature of guided divergence appeals to our minimization bias, and makes it okay to try a little divergence. We feel safe because we’re deviating only a little and only for a short time.

Lean and Six Sigma have served us well, and they still have their place. (Except for Six Sigma.) But they must be barred from creativity sessions and front end innovation, because here, divergence carries the day.

If lean has taught us anything, it’s smaller is better. Smaller machines, smaller factories, smaller teams, smaller everything.

The famous Speaker of the House, Tip O’Neill, said all politics are local. He meant all action happens at the lowest levels (in the districts and neighborhoods), where everyone knows everyone, where the issues are well understood, and the fundamentals are not just talked about, they’re lived. It’s the same with manufacturing. But I’m not talking about local in the geography sense; I’m talking about the neighborhood sense. When manufacturing is neighborhood-local, it’s small, tight, focused and knowledgeable.

We mistakenly think about manufacturing strictly as the process of making things—it’s far more. In the broadest sense, manufacturing is everything: innovation, design, making and service. It’s this broad-sense manufacturing that will deliver the next economic revolution.

Previously, I described how big companies break themselves into smaller operating units. They recognize lean favors small, and they break themselves up for competitive advantage. They want to become a collective of small companies with the upside of small without of the downside of big. Yet with small companies, there’s an urge to be big.

Lean says smaller is better and more profitable. Lean says small companies have an advantage because they’re already small. Lean says small companies should stay small (neighborhood small) and be more of what they are.

Small companies have a size advantage. Their smaller scope improves focus and alignment. It’s easier to define the mission, communicate it, and work toward it. It’s easier to mobilize the neighborhood. It’s clearer when things go off track and easier to get things back on track. At the lowest level, smaller companies zero in on problems and fix them. At the highest, they align themselves with their mission. These are important advantages, but not the most important.

The real advantage is deep process knowledge. Smaller companies have less breadth and more depth, which allows them to focus energy on the work and develop deep process knowledge. Many large manufacturers have lost process knowledge over the years. Small companies tend to develop and retain more of it. We’ve forgotten the value of deep process knowledge, but as companies look for competitive advantage, its stock is rising.

Lean wants small companies to build on that strength. To take it to the next level, lean wants companies to think about manufacturing in the more-than-making sense and use that deep process knowledge to influence the product itself. Lean wants suppliers to inject their process knowledge into their customers’ product development process to radically reduce material cost and help the product sprint through the factory.

The ultimate advantage of deep process knowledge is realized when small companies use it to design products. It’s realized when people who know the process fundamentals work respectfully with their neighbors who design the product. The result is deeper process knowledge and a far more profitable product. Big companies like to work with smaller companies who can design and make.

Tip O’Neill and lean agree. All manufacturing is local. And this local nature drives a focus on the fundamentals and details. Being neighborhood-local is easier for small companies because their scope is smaller, which helps them develop and retain deep process knowledge.

Lean wants companies to be small—neighborhood-small. When small companies build on a foundation of deep process knowledge, sales grow. Lean wants sales growth, but it also wants companies to reduce their size in the neighborhood sense.

At every turn, lean has increased profits in the factory. Its best trick is to look at the work through a time lens, see wasted time, and get rid of it.

Work is blocked by problems. You watch the work to spot blockages in the form of piles, otherwise known as inventory. When you find a pile, you know the problem is one operation downstream.

As lean works its magic, inventory is reduced, which decreases carrying costs. More importantly, however, it also reduces the time to see a problem. Whether the problem is related to quality, delivery or resources, everything stops immediately. It’s clear what to fix, and there’s incentive to fix it quickly because with lean, the factory is more sensitive to problems.

What works in the factory will also work in the supply chain, and that’s where lean is going.

Link to full article

With its strong focus on waste reduction of processes, lean has been a savior for those who’ve made it out of the great recession.  But what’s next?  I argue the next level of savings will come from adding a product focus to lean’s well-developed process focus.  For the complete Assembly Magazine article (one page), click here.

In sourcing, out sourcing, off shoring, on shoring – the manufacturing debate rages. So what’s the big deal? Jobs – the foundation of an economy. Jobs pay for things, important things like food, schools, and healthcare. No jobs, no economy. The end.

What does lean, the most successful manufacturing business methodology, have to say about all this? Lean’s fundamental:

a

Make it where you sell it

a

because the shortest supply chains are least wasteful. Dig the ore in-country, make the steel in-country, forge it, machine it, and sell it in-country. With, of course, some qualifiers, some important ifs:

• If in-country demand is high enough to warrant the investment
• If your company is big enough to pull it off
• If quality can be assured.

All good, but I’m discouraged by what lean does not say:

• Regardless of the country, engage the design community to reduce material cost and waste
• Regardless of the factory, engage design community to make your factory output like two
• Regardless of the industry, engage design community to reduce part count.

We all agree the design community has the biggest influence on cost and waste, yet they’re not part of the lean equation. That’s wasteful. That violates a fundamental. That makes me sad.

Let’s put aside our where-to-make-it arguments for a bit, and, wherever you make product,

a

Engage the design community in lean.

Anytown, Any Country – Imagination died on Friday, May 14, 2010, following a long and courageous battle with continuous improvement.

Imagination was born in a time long ago in a place we no longer recognize. Nurtured by her parents Individualism and Free Thinking, Imagination had a wonderful childhood. As a youngster, she was known to make significant contributions to science and technology. Galileo, a long time friend of Imagination, credited  her with new thinking about our solar system as well as the invention that made it all happen – the astounding telescope. To the end, Galileo’s support of Imagination never wavered, even after his relationship with her led to the incarceration that shortened his career.

Stories like these are commonplace throughout history. Selflessly, Imagination helped many people throughout her life. She took a behind-the-scenes approach to her work, and never sought credit. She was known to be involved with the most important thinking of our generations including: the Round Earth Theory, the Theory of Relativity, the internal combustion engine, the first lunar landing, and Velcro.

In recent years her health declined as the two new thinking systems, lean and Six Sigma, tricked companies into severely constraining their thinking, and, eventually, there was no longer a place for her. Though she battled valiantly, she finally succumbed to their rhetoric.

In lieu of flowers, memorial donations may be made to The Anti-Lean and Six Sigma Foundation.

Click this link for information on Mike’s upcoming workshop on Systematic DFMA Deployment

I’ve heard product cost is designed in; I’ve heard it happens at the early stages of product development; And, I’ve heard, once designed in, cost is difficult get out. I’m sure you’ve heard this before. Nothing new here. But, is it true? Is cost really designed in? Why do I ask? Because we don’t behave like it’s true. Because was it was true, the Design community would be responsible for product costs. And they’re not.

Who gets flogged when the cost of new products are too high? Manufacturing. Who does not? Design. Who gets stuck running cost reduction projects when costs are too high? Manufacturing. Who does not? Design. Who gets the honor of running kaizens when value stream maps don’t have enough value? Manufacturing. Who designs out the value and designs in the cost? Design. (That’s why they’re called Design.) If Design designs it in, why is the cost albatross hung around Manufacturing’s neck?

It sucks to be a manufacturing engineer – all the responsibility to reduce cost without the authority to do it. The manufacturing engineers’ call to arms –

a

Reduce cost, but don’t change anything!

a

Say that out loud. Reduce the cost, but don’t change anything. How stupid is that? We’ll it’s pretty stupid, but it happens every day. And why constrain the manufacturing engineers like that? Because they don’t have the authority to change the product design – only Design can do that. So you’re saying Manufacturing is responsible for product cost, but they cannot change the very thing that creates all the cost? Yes.

What would life be like if we behaved as if Design was responsible for product cost? To start, Design would present product cost data at new product development gate reviews. Design would hang their heads when product costs were higher than the cost target, and they would be held accountable for redesigning the product and meeting the cost target.  (They would also be given the tools, time, and training to do the work.)

Going forward, Design would understand the elements of product that create the most cost. And how would they know this? First, they would spend some time on the production floor. (I know this is a little passé, but it still works.) Second, they would do Design for Assembly (DFA) in a hands-on, part-by-part, piece-by-piece way. No kidding, they would handle all the parts themselves, assemble them with production tooling, and score the design with DFA. That’s right, Design would do DFA. The D in DFA does not stand for Advanced Manufacturing, Operations, Supplier Quality, Purchasing, or Industrial Engineering. The D stands for Design.

I know your manufacturing engineers are in favor of rightly burdening Design with responsibility for product cost. But, your Lean Leaders should be the loudest advocates. Imagine if your Design organization designed new products with half the parts and half the material cost, and your Lean Leaders reduced value waste from there. Check that, Lean Leaders should not be the loudest advocates. Your stockholders should be.

Click this link for information on Mike’s upcoming workshop on Systematic DFMA Deployment

By reducing parts count and easing assembly, one plasma cutter maker explores customized manufacturing.

By Jean Thilmany, Associate Editor, Mechanical Engineering Magazine

Ask nearly any engineer or manufacturer about customized manufacturing and—to a person—they’ll all say the same thing: Have you heard the Dell story?

Dell is offered up again and again as the number one example of customized manufacturing done right and done successfully. Shortly after its founding in 1984, Dell began what it calls a configure-to-order approach to manufacturing. The computer company lets customers customize their own computers on the Dell Web site. Buyers select how much memory and disk space they desire and the resulting computer is manufactured and shipped to them.

The approach has helped the computer maker see skyrocket growth. Last year, it held the second-highest spot for desktops and laptops shipped, behind Hewlett Packard, according to market-share numbers from research firm International Data Corp. in Framingham, Mass.

Manufacturers—particularly electronics manufacturers—have long been taking notice. Many of them are investigating how the configure-to-order model could be put to use at their own companies. And some of them have implemented the method—along with the necessary software to get the job done—with great success.

Take Hypertherm Inc. of Hanover, N.H., maker of plasma metal cutting equipment. The company has recently started allowing customers to choose online from ten CNC Edge Pro product configurations, up from three configurations in the former product line, said John Sobr, head designer on the project.

Hypertherm recently redesigned its plasma metal cutting equipment to reduce part count by 27 percent while doubling the number of inputs available. Customers can now choose from ten product configurations.

Link to full article

Design for Manufacture and Assembly is reported to improve CNC performance, modularity, durability, and serviceability

When Hypertherm (www.hypertherm.com) was getting ready to design its next generation of metal cutting CNCs, the engineering team’s goal was to make improvements. But the controllers, which automate the Hanover, New Hampshire-based company’s advanced cutting tools and systems, were already well-accepted in the marketplace and highly regarded in the industry. So why redesign? And how would they go about it?

See this link for the full article – Using DFMA to Control Controller Design

Axiom 1 – Time is short, so make sure you’re working on the most important stuff.

Axiom 2 – You can’t design out what you can’t see.

In product development, these two axioms can keep you out of trouble. They’re two sides of the same coin, but I’ll describe them one at a time and hope it comes together in the end.

With Axiom 1, how do you make sure you’re working on the most important stuff? We all know it’s function first – no learning there. But, sorry design engineers, it doesn’t end with function. You must also design for lean, for cost, and factory floor space. Great. More things to design for. Didn’t you say time was short? How the hell am I going to design for all that?

Now onto the seeing business of Axiom 2. If we agree that lean, cost, and factory floor space are the right stuff, we must “see it” if we are to design it out. See lean? See cost? See factory floor space? You’re nuts.  How do you expect us to do that?

Pareto to the rescue – use Pareto charts to identify the most important stuff, to prioritize the work. With Pareto, it’s simple: work on the biggest bars at the expense of the smaller ones. But, Paretos of what?

There is no such thing as a clean sheet design – all new product designs have a lineage. A new design is based on an existing design, a baseline design, with improvements made in several areas to realize more features or better function defined by the product specification. The Pareto charts are created from the baseline design to allow you to see the things  to design out (Axiom 2). But what lenses to use to see lean, cost, and factory floor space?

Here are Pareto’s three lenses so see what must be seen:

To lean out lean out your factory, design out the parts. Parts create waste and part count is the surrogate for lean.

To design out cost, measure cost. Cost is the surrogate for cost.

To design out factory floor space, measure assembly time. Since factory floor space scales with assembly time, assembly time is the surrogate for factory floor space.

Now that your design engineers have created the right Pareto charts and can see with the right glasses, they’re ready to focus their efforts on the most important stuff. No boiling the ocean here. For lean, focus on part count of subassembly 1; for cost, focus on the cost of subassemblies 2 and 4; for floor space, focus on assembly time of subassembly 5. Leave the others alone.

Focus is important and difficult, but Pareto can help you see the light.