Live Product Innovation, Part 3: Process Industries, IoT, And A Recipe For Instant Change

John McNiff

In Part 1 of this series, we looked at how in-memory computing affects live product innovation. In Part 2, we explored the impact of the Internet of Things (IoT) and Big Data on smart connected products. In Part 3, we approach the topic from the perspective of process industries.

Digital this, connected that. Smart whatsits and intelligent doodahs. Those of us who talk about IoT are often reminded that not every manufacturer makes products per se. But IoT isn’t only about the addition of sensors to products. The principles of live product innovation are equally relevant to process manufacturing.

In fact, the “data refinery” offers the potential to manage the Internet of everything — including traditional Big Data sources in tight conjunction with business processes. If your products are food, packaged goods, or chemicals, the promises of live product insights are still compelling. It’s only the data sources and dimensions that are different.

Live and compliant

The complexity of regulatory compliance in process industries continues to grow — whether you’re talking about the U.S. Food and Drug Administration, the U.K. Food Standards Agency, trade embargoes, or hazardous substance management. And compliance isn’t getting any simpler to manage across jurisdictions and industry sectors.

What’s more, customers increasingly demand shortened delivery cycles and highly targeted or even personalized products. That means you can no longer wait till after you formulate a product and release a recipe to determine whether you can actually sell it. You need instant visibility, whether you’re talking about nutritional safe levels assigned by a particular region for food products or volumes of hazardous substances for supply and transit.

But that’s the advantage of live, compliant product innovation. It enables you to perform analytics on previously disconnected data. And it allows you to manage real-time embedded processes across previously disparate systems.

Product data is everywhere

In our last blog we explored the advantages of smart connected products — the ability to link everything from initial product concepts through downstream product delivery. Now let’s apply that to process manufacturing.

Let’s say you see two factors coming together for the SoySnak product you sell in North America and Asia. Your sales data shows that American consumers want 10Kg packages, while Asian customers prefer smaller multipacks. At the same time, your compliance database alerts you that new regulations on salt levels are about to go into effect in several of your target markets.

You want to respond before the regulations are implemented, for several reasons. You’ll need to update recipes, specifications, labels, and packaging. You’ll need to inform your suppliers, manufacturers, quality planners, financial controllers, logistics providers, and retailers. And you’ll need to get the replacement product into the affected markets, with auditable compliance with salt level requirements. Otherwise, you risk producing a large quantity of unsellable inventory.

This example shows us several things:

  • Insights must be as instant as possible.
  • Those insights might come from a variety of sources that your R&D folks didn’t previously have real-time access to.
  • Your products must be localized to a very granular level.
  • Even a minor change affects everything from recipes to packaging specifications, costs of materials, regulatory reporting, logistics providers, retailers, and on and on.

And that leads us to several conclusions:

  • Product data isn’t mission-critical only to R&D. It’s linked to every downstream business process.
  • A live, compliant, and collaborative environment, with the ability to instantly adapt to change, is a business requirement.
  • To achieve that requirement, product data must be part of business processes.
  • The platform the R&D team relies on must be linked to downstream platforms, and it must allow you to leverage and act on real-time insights.

Digital product innovation platform

Of course, the streaming of sensor data from connected things is still relevant in process industries. But for process manufacturers, the most important use cases are more around traceability, supply chain logistics, and product innovation. At some point, data from connected goods will allow new models that more tightly couple the supply chain with innovation cycles.

But a live and compliant product innovation platform achievable today. The question is whether you’ll get there before your competition does.

Come to SAPPHIRE NOW 2017 in Orlando, Florida from May 16 – 18th, 2017, and check out my session “Boost Visibility into Operations for Connected Products with SAP Leonardo” on Tuesday, May 16th, 2017 from 1-1:40 p.m. in Business Application BA324, or check out our R&D sessions.

Follow the conversation on @SCMatSAP and #SAPPHIRENOW.

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John McNiff

About John McNiff

John McNiff is the Vice President of Solution Management for the R&D/Engineering line-of-business business unit at SAP. John has held a number of sales and business development roles at SAP, focused on the manufacturing and engineering topics.

How to Take Advantage Of 3D Printing Service Parts In Aerospace

Thomas Pohl

The time of 3D printing being a hobbyist’s plaything is in the past. Not only has additive manufacturing come into its own, but it is rapidly gaining ground as a more sustainable technology than centralized systems that require shipping networks to get goods to market. In the aerospace industry, we’re seeing more use of 3D printing than in the past; for example, GE has produced a 3D-printed 1,300 HP advanced turboprop engine. But one area where 3D printing technology is expected to have the largest impact on the aerospace industry is in parts printing.

The aerospace industry was one of the first adopters of 3D printing technology, beginning in 1988, only four short years from the first patent registration for the technology. At the time, it was only used for modeling and prototypes. A little over a decade later, industry leaders started to explore the full potential of the technology.

Today, it’s clear there are a number of areas where 3D printing of service parts can benefit the aerospace industry.

Increased asset uptime

Because airline fleets are always on the go, it can be difficult to anticipate in what locations and at what times specific parts may be needed. Internet of Things (IoT) technology improves inventory tracking, but that isn’t the solution when you don’t have the right part where it’s needed. Aircraft-on-ground delays can cause serious problems in a number of areas, and 3D-printed parts help avoid this issue and improve overall fleet uptime. Personnel in the hanger can simply print a new part instead of maintaining an exhaustive inventory or hoping the part comes in quickly.

Reduced cost

Beyond the problems of grounded assets, 3D-printed parts also reduce costs. When an asset is grounded, it can quickly become an expensive problem. A typical “B check” maintenance issue that grounds a plane has an average cost of $60,000. The crew must be moved to other aircraft or lodged locally; replacement parts need to be shipped in (if they’re not on location); fleet coordination is impacted; flight schedules are thrown off; and service-level agreement (SLA) compliance becomes an issue. And that’s before you deal with the resulting customer service issues.

Lighter components

In aeronautics, weight is money, and 3D-printed parts could lighten the components used in aircraft. Reducing the weight of your components means using less fuel to get off the ground. A recent contest by GE challenged designers to create an engine bracket designed for production with a 3D printer. The winning entry produced an 83.4% reduction in weight, from 2 kg to a svelte 327 grams. That may not seem like much on a 400-ton aircraft, but it’s just that much less weight to get in the air.

More durability

It’s much easier to design 3D-printed components for strength and durability versus manufacturing ease. “We get five times the durability. We have a lighter-weight fuel nozzle. And we frankly have a fuel nozzle that operates in an environment more effectively and more efficiently than previous fuel nozzles,” Greg Morris, head of GE Aviation’s additive printing division, said in an interview. The ability to design and print parts remotely makes updates to fleet assets much easier to implement.

Improved customer satisfaction

In aeronautics, customer satisfaction has a huge impact on a company’s bottom line. It’s estimated that in 2016, flight delays cost airlines $25 billion in actual expenses, and that figure does not include damage to an airline’s reputation. If an airline becomes known for flight delays and maintenance issues, it’s less likely to be used by consumers. Having 3D printing capabilities for a number of parts helps reduce flight delays and keeps cancellations to a minimum. It also helps improve overall fleet uptime and reputation for excellence.

By adding 3D printing capability, aeronautics companies can enjoy lean operations with better flexibility and resiliency. It provides a range of benefits, including avoiding aircraft-on-ground problems. By placing a 3D printer at the hanger or a nearby distribution warehouse, response time is drastically improved, costs are reduced, and excess inventory is eliminated.

Digitization and disruption require businesses to be lean and agile. This is true of all industries, including aeronautics. While 3D printing was initially used for out-of-production or slow-moving inventory parts, it’s progressing into more complex parts as the technology has improved.

As part of an overall digitization plan, 3D printing allows companies to respond faster to industry changes. Imagine a scenario where sensors in your assets sense a problem in a particular part of your aircraft. Those sensors automatically contact the arrival airport, which 3D-prints the part while the plane is still in the air. Wait time decreases and the plane gets back in the air faster. The future of aeronautics is now. Where does your business stand?

Read this whitepaper to understand how a digital world in aerospace and defense industry can help you to reinvent products, services, and core business processes.

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Thomas Pohl

About Thomas Pohl

Thomas Pohl is a Senior Director Marketing at SAP. He helps global high tech and aerospace companies to simplify their business by taking innovative software solutions to market.

Leading In Digital Procurement: Automakers Move To Procurement 4.0

William Newman

Automotive procurement leaders are facing challenges from both inside the procurement organization and outside, as impacted by other elements of the industry business.

Inside procurement issues, such as poor spend visibility, compliance, and value delivery are amplified by the overall strategic shift to digital processes and the scarcity of talent to drive procurement initiatives successfully.

Beyond the four walls of procurement, other teams, such as engineering, supply chain, and finance, are demanding more influence over the goals and objectives of procurement as product designs become more complex and connected, the flow of “material to money” receives greater margin scrutiny, and the industry shifts to Mode 2 manufacturing models. Combine this with expected tapering of automotive vehicle unit production in North America and globally, procurement leaders are in a nexus of forces few other executives in automotive companies are experiencing.

Auto Procurement Forces

A new role for procurement leaders

As a result, procurement leaders must augment their sphere of influence to source components and material when needed, where needed, and how needed to support Mode 2 manufacturing and virtual inventory goals. These are strategic. With the shift to strategic tasks, more operational tasks in purchasing and accounts payables will go away. Those tasks will need to be replaced with artificial intelligence and machine learning capabilities to deliver on tomorrow’s operating model.

The question we continually ask automotive procurement leaders: are you really leveraging procurement as a strategic weapon? Often the answer is no. We see several factors determining whether automotive companies are seriously leveraging procurement capabilities strategically:

  • Risk: Risk management currently implies compliance. In the future, it will include making risk-mitigating investments and risk-transfer pricing.
  • Talent development: Talent with specific non-core skills must be found and developed. New strategies must be driven outside the current business scope, and the skills to develop these new strategies are in high demand.
  • Innovation: Procurement teams need to expand their expertise in engineering and design, as next-generation procurement strategies are being developed based on outcome-based business models, 3D printing, and connected technologies.
  • Transparency: Social media is making procurement one of the most visible functions, not a back-office activity, as in past generations. As such, automotive procurement leaders need to talk to customers, regulators, and the press with one voice on behalf of the company’s strategic, 24/7, “always on” communications strategy.
  • A new relationship with financeThe global supply base is bringing new financial challenges to procurement. Procurement leaders need to develop financial acumen that rivals that of finance leaders and tighten their relationships with finance teams.

Only by reviewing these areas can procurement leaders honestly assess whether their organizations are prepared for the shift to digital business and operating models in their everyday work lives.

An opportunity to lead

With 62% of chief procurement officers unable to locate and/or develop the talent needed to address future procurement needs and challenges (Deloitte, 2016), automotive procurement leaders are at the tip of the spear to risk losing organizational influence and become a sub-function of finance or supply chain. Given the proper best practices, methods, and new digital capabilities, however, automotive procurement leaders can have a full seat at the executive table with strategic insights, foresight, and direction to maintain healthy working capital and cost of goods sold during the upcoming years of slow but tapered automotive vehicle volumes.

Learn more about automotive procurement and other industry digital advances at the Best Practices for Automotive event September 18-20, 2017, in Detroit. For more information visit the program website.

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William Newman

About William Newman

William Newman is a Strategic Industry Advisor, providing industry perspective, strategic solution advice, and thought leadership to support SAP automotive and discrete industry customers and their co-innovation programs. He helps build and maintain SAP's leadership position in the automotive industry and associated industry segments. He manages SAP’s annual digital aftermarket survey program and serves as the ASUG Point of Contact for the NA Automotive SIG. He is the author of two SAP Press books and a LinkedIn Editor’s Choice contributor.

Diving Deep Into Digital Experiences

Kai Goerlich

 

Google Cardboard VR goggles cost US$8
By 2019, immersive solutions
will be adopted in 20% of enterprise businesses
By 2025, the market for immersive hardware and software technology could be $182 billion
In 2017, Lowe’s launched
Holoroom How To VR DIY clinics

From Dipping a Toe to Fully Immersed

The first wave of virtual reality (VR) and augmented reality (AR) is here,

using smartphones, glasses, and goggles to place us in the middle of 360-degree digital environments or overlay digital artifacts on the physical world. Prototypes, pilot projects, and first movers have already emerged:

  • Guiding warehouse pickers, cargo loaders, and truck drivers with AR
  • Overlaying constantly updated blueprints, measurements, and other construction data on building sites in real time with AR
  • Building 3D machine prototypes in VR for virtual testing and maintenance planning
  • Exhibiting new appliances and fixtures in a VR mockup of the customer’s home
  • Teaching medicine with AR tools that overlay diagnostics and instructions on patients’ bodies

A Vast Sea of Possibilities

Immersive technologies leapt forward in spring 2017 with the introduction of three new products:

  • Nvidia’s Project Holodeck, which generates shared photorealistic VR environments
  • A cloud-based platform for industrial AR from Lenovo New Vision AR and Wikitude
  • A workspace and headset from Meta that lets users use their hands to interact with AR artifacts

The Truly Digital Workplace

New immersive experiences won’t simply be new tools for existing tasks. They promise to create entirely new ways of working.

VR avatars that look and sound like their owners will soon be able to meet in realistic virtual meeting spaces without requiring users to leave their desks or even their homes. With enough computing power and a smart-enough AI, we could soon let VR avatars act as our proxies while we’re doing other things—and (theoretically) do it well enough that no one can tell the difference.

We’ll need a way to signal when an avatar is being human driven in real time, when it’s on autopilot, and when it’s owned by a bot.


What Is Immersion?

A completely immersive experience that’s indistinguishable from real life is impossible given the current constraints on power, throughput, and battery life.

To make current digital experiences more convincing, we’ll need interactive sensors in objects and materials, more powerful infrastructure to create realistic images, and smarter interfaces to interpret and interact with data.

When everything around us is intelligent and interactive, every environment could have an AR overlay or VR presence, with use cases ranging from gaming to firefighting.

We could see a backlash touting the superiority of the unmediated physical world—but multisensory immersive experiences that we can navigate in 360-degree space will change what we consider “real.”


Download the executive brief Diving Deep Into Digital Experiences.


Read the full article Swimming in the Immersive Digital Experience.

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Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Chief Futurist at SAP Innovation Center network His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation. Share your thoughts with Kai on Twitter @KaiGoe.heif Futu

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Jenny Dearborn: Soft Skills Will Be Essential for Future Careers

Jenny Dearborn

The Japanese culture has always shown a special reverence for its elderly. That’s why, in 1963, the government began a tradition of giving a silver dish, called a sakazuki, to each citizen who reached the age of 100 by Keiro no Hi (Respect for the Elders Day), which is celebrated on the third Monday of each September.

That first year, there were 153 recipients, according to The Japan Times. By 2016, the number had swelled to more than 65,000, and the dishes cost the already cash-strapped government more than US$2 million, Business Insider reports. Despite the country’s continued devotion to its seniors, the article continues, the government felt obliged to downgrade the finish of the dishes to silver plating to save money.

What tends to get lost in discussions about automation taking over jobs and Millennials taking over the workplace is the impact of increased longevity. In the future, people will need to be in the workforce much longer than they are today. Half of the people born in Japan today, for example, are predicted to live to 107, making their ancestors seem fragile, according to Lynda Gratton and Andrew Scott, professors at the London Business School and authors of The 100-Year Life: Living and Working in an Age of Longevity.

The End of the Three-Stage Career

Assuming that advances in healthcare continue, future generations in wealthier societies could be looking at careers lasting 65 or more years, rather than at the roughly 40 years for today’s 70-year-olds, write Gratton and Scott. The three-stage model of employment that dominates the global economy today—education, work, and retirement—will be blown out of the water.

It will be replaced by a new model in which people continually learn new skills and shed old ones. Consider that today’s most in-demand occupations and specialties did not exist 10 years ago, according to The Future of Jobs, a report from the World Economic Forum.

And the pace of change is only going to accelerate. Sixty-five percent of children entering primary school today will ultimately end up working in jobs that don’t yet exist, the report notes.

Our current educational systems are not equipped to cope with this degree of change. For example, roughly half of the subject knowledge acquired during the first year of a four-year technical degree, such as computer science, is outdated by the time students graduate, the report continues.

Skills That Transcend the Job Market

Instead of treating post-secondary education as a jumping-off point for a specific career path, we may see a switch to a shorter school career that focuses more on skills that transcend a constantly shifting job market. Today, some of these skills, such as complex problem solving and critical thinking, are taught mostly in the context of broader disciplines, such as math or the humanities.

Other competencies that will become critically important in the future are currently treated as if they come naturally or over time with maturity or experience. We receive little, if any, formal training, for example, in creativity and innovation, empathy, emotional intelligence, cross-cultural awareness, persuasion, active listening, and acceptance of change. (No wonder the self-help marketplace continues to thrive!)

The three-stage model of employment that dominates the global economy today—education, work, and retirement—will be blown out of the water.

These skills, which today are heaped together under the dismissive “soft” rubric, are going to harden up to become indispensable. They will become more important, thanks to artificial intelligence and machine learning, which will usher in an era of infinite information, rendering the concept of an expert in most of today’s job disciplines a quaint relic. As our ability to know more than those around us decreases, our need to be able to collaborate well (with both humans and machines) will help define our success in the future.

Individuals and organizations alike will have to learn how to become more flexible and ready to give up set-in-stone ideas about how businesses and careers are supposed to operate. Given the rapid advances in knowledge and attendant skills that the future will bring, we must be willing to say, repeatedly, that whatever we’ve learned to that point doesn’t apply anymore.

Careers will become more like life itself: a series of unpredictable, fluid experiences rather than a tightly scripted narrative. We need to think about the way forward and be more willing to accept change at the individual and organizational levels.

Rethink Employee Training

One way that organizations can help employees manage this shift is by rethinking training. Today, overworked and overwhelmed employees devote just 1% of their workweek to learning, according to a study by consultancy Bersin by Deloitte. Meanwhile, top business leaders such as Bill Gates and Nike founder Phil Knight spend about five hours a week reading, thinking, and experimenting, according to an article in Inc. magazine.

If organizations are to avoid high turnover costs in a world where the need for new skills is shifting constantly, they must give employees more time for learning and make training courses more relevant to the future needs of organizations and individuals, not just to their current needs.

The amount of learning required will vary by role. That’s why at SAP we’re creating learning personas for specific roles in the company and determining how many hours will be required for each. We’re also dividing up training hours into distinct topics:

  • Law: 10%. This is training required by law, such as training to prevent sexual harassment in the workplace.

  • Company: 20%. Company training includes internal policies and systems.

  • Business: 30%. Employees learn skills required for their current roles in their business units.

  • Future: 40%. This is internal, external, and employee-driven training to close critical skill gaps for jobs of the future.

In the future, we will always need to learn, grow, read, seek out knowledge and truth, and better ourselves with new skills. With the support of employers and educators, we will transform our hardwired fear of change into excitement for change.

We must be able to say to ourselves, “I’m excited to learn something new that I never thought I could do or that never seemed possible before.” D!

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