Smart Factory Insights: Differentiation, Community, and Composability

Are progress and evolution in the industry driven by collective hive minds, business opportunity, and thought leadership, or is it just through random events? I believe it’s all the above. The real question about progress is better related to the strategy of how we balance differentiation with our contribution to common industry goals that bring about business opportunity, and then how we apply that same strategy to the tools and services that we use. Let’s look both internally and externally into how we control and actively reduce risks and threats to our business.

Differentiation
The potential of a manufacturing operation is the sum of its assets and capabilities, including skills, location, size, expertise, and focus, as well as both the positive and negative effects of cumulative experience. Every operation is therefore unique and uses that to differentiate itself as it competes on conditions of quality, price, delivery, reliability, and trustworthiness.

As a business seeks to differentiate, external factors can influence and restrict the business. Success, therefore, rests on the ability to influence these external conditions, which are usually common across peers in the industry. Simply reacting to trends and changes is too passive for companies seeking to succeed and expand, though most of these external issues cannot be directly influenced by a single, average company.

Let’s look at the material supply network. A manufacturer in the U.S. or Europe—encouraged by government support for onshore manufacturing—is inspired by new automation technologies. For them, this is a sustainable business growth opportunity. But reality hits: The needed materials cannot be locally sourced. To access them, the materials must travel halfway around the world and likely from relatively unmanageable partners. Such risk often kills the best of local manufacturing business plans. Giving up is not an option, so how can the manufacturing supply network be motivated to locate onshore?

Historically, to reduce logistics costs and by utilizing “just in time” (JIT), the supply network will follow the customer. Their investment will only be viable once a critical mass of material consumption business is available that spreads their risk to an acceptable level. Local manufacturing, however, must bear the additional costs and risk of remote material sourcing, so it’s challenging for this to happen organically. To expedite this process, trade associations that represent both manufacturing and supply networks must work together. They should encourage local manufacturers to share their broad business plans and intents. Such representation works best with aggregation to the regional and national levels, as trade associations can combine information in a way that protects the privacy and IP of individual companies; potential competitors will effectively be working together.

Community
This need not negatively impact the EMS business model, which competes based on business owners’ material buying power. Localized manufacturing communities collectively drive the volume that reduces supply network relocation risk, whilst still allowing larger companies to negotiate individual, volume-driven pricing. The key point is that these two elements are not mutually exclusive.

Balancing differentiation vs. common goals is relevant to more than the upstream supply network and other external conditions; a similar strategy should be followed internally and downstream. Let’s take an example of a machine vendor looking at their potential customer base. To be successful, the vendor must create machines that meet common requirements, while also supporting any significant residual needs required for different groups of customers, rather than customizing case by case. This allows the development and provision of technologies that support the evolution of the industry.

This is, by far, the most efficient and preferred method of the automation market, other than where specialized, bespoke functional test or mechanical assembly stations are required. It is important that such flexibility is easy for the customer to select, implement, and support, such as the case of an SMT placement machine, where the selection of different conveyor widths, number of stages and lanes, types of heads, feeders, cameras, nozzles etc., are available. The hardware automation market has evolved—and has proved itself in this respect—over hundreds of years. Though differentiated, most manufacturing operational needs, especially in electronics, have a very high degree of commonality, and are satisfied by common automation products.

The same principle should be true for software automation solutions (such as MES), but compared to hardware, the software industry is relatively new and still evolving. We see the same patterns emerging from many software automation providers—including those newly emerging in the industry. They follow immature product architectures that behave like those early, primitive, hardware solutions, and are based on continuously customized and bespoke development.

It is disappointing to see software automation solutions today where the customer is expected to develop bespoke code—including database queries that drive dashboards and reports—as well as some common functionality. It is worse still to see the perceived need in many manufacturers that drive them to develop solutions themselves.

Even the latest, simplistic “app-based platforms” perpetuate this at the low end of the market, which may represent a low initial investment and code development overhead, only to reveal the need for extensive coding, customization, and DIY data modelling after installation. This reveals the lack of value creation built into the solution’s data-model and architecture. Successful manufacturing cannot afford perpetual bespoke customizations from neither hardware nor software vendors, nor by having to do it themselves.

Composability
From a mature software automation solution perspective, differentiation is satisfied through composability—the easy way to tailor operational visibility, control, and data exchange—by simply selecting appropriate options and configuring built-in templates within the solution that meet the required needs. It is crucial that these can be altered at any time to suit multiple, simultaneously changing conditions and use-cases. Composability represents the lowest cost of flexibility, such that businesses can adapt and thrive, and differentiate themselves with the greatest of agility—without the cost and risks associated with customization. The fact that many companies use the same automated machine or software solution does not diminish their differentiation.

We must become smarter about how we approach change in the industry; we must be willing and able to influence conditions around us, as well as differentiate our business. Significant challenges continue to emerge due to evolving world conditions. We cannot afford to waste resources on planet-wide logistics and risk being locked into restrictive practices associated with product volumes expectations, nor to be endlessly customizing our solutions every time some change takes place.

As we look ahead, we see that in some areas we differentiate, while in others we benefit from a collective evolution. In the supply network, we enjoy volume-driven, pricing-based competitive differentiation, while working together to attract local low-risk suppliers. For hardware and software automation solutions, we use off-the-shelf industry hardware with supported options, and composable software automation solutions, eliminating the need for customization and self-coding. It is the best of both worlds.

Let’s all make a change to compete based on differentiation whilst also being respectful and responsible members of our manufacturing industry infrastructure. This will bring confidence to those who would invest in manufacturing reshoring initiatives.

This column originally appeared in the March 2023 issue of SMT007 Magazine.

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2023

Smart Factory Insights: Differentiation, Community, and Composability

03-08-2023

Are progress and evolution in the industry driven by collective hive minds, business opportunity, and thought leadership, or is it just through random events? I believe it’s all the above. The real question about progress is better related to the strategy of how we balance differentiation with our contribution to common industry goals that bring about business opportunity, and then how we apply that same strategy to the tools and services that we use. Let’s look both internally and externally into how we control and actively reduce risks and threats to our business.

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Smart Factory Insights: An Unblinkered View

01-11-2023

For many, blindly going where no one has gone before is just a normal day in the factory. As new products are introduced, manufacturing is expected to provide perfect products based primarily on assumptions and reverse engineering. Without accurate and complete product data, there can be no engineering automation, which results in a complete waste of energy. This should no longer be acceptable in the industry. A lack of adequate contextualizing product information creates unnecessary cost and risk in manufacturing operations, thereby limiting competitiveness. What’s behind the industry’s reluctance to change on this matter?

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2022

Smart Factory Insights: AIs Without Context Are Dumb

12-14-2022

We often discuss the emergence of artificial intelligence in terms of how it will save us or, if movies are to be believed, how it might terminate us. The countless annoyances AIs inject into our daily lives can make us wonder: Do they already have a plan? We need to adequately consider context versus privacy when deciding how to integrate AI technology into our lives, especially within our factories.

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Smart Factory Insights: Clinging to Best Practices in Worst-case Scenarios

11-22-2022

We develop best practices to ensure consistent and optimal operational performance, quality, and consistency. The nemesis of this activity is change, which leads to those best practices becoming stale and eventually becoming shackles to the operation. We must take a more modern approach to best practices, one that embraces the ability to change, and is flexible and adaptable to cope with the unexpected (which are actually expected) issues. Knowing how to create change-centric manufacturing best practices comes from experience.

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Smart Factory Insights: The Progress of Machine Intelligence

09-27-2022

Adversity drives focus, realization, and then innovation. This is especially true in manufacturing, which has felt the effects of recent challenges. For decades, manufacturing has been overly focused on short-term business objectives, with little regard for risk and adaptability. This oversight has persisted into automation projects and digital transformation initiatives. Innovators today realize that there is no way back, that we must embrace the intelligence—the silver linings—that we must have learned.

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Smart Factory Insights: Zombie Cars: The Next Pandemic Is Digital

07-20-2022

In the manufacturing world, we increasingly rely on internal and outsourced security partners to keep our IT networks safe. One report stated that as many as 50% of manufacturing companies have already been the target of ransomware attempts. Therefore, there is more work to do, especially on the neglected OT network. Industry requirements, such as CMMC, invoke costs and difficulties. But like traceability in the past, with the right preparation, this “burden” can be turned around to become a near zero cost, or even a benefit.

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Smart Factory Insights: Fractional Materials and High-Mix Manufacturing

05-25-2022

We used to discuss manufacturing paradigms in terms of high- or low-mix, coupled with high- or low-volume, with many shades of grey in between. Now, we have a new dimension, that of high-volatility, as key dependencies on labour, materials and logistics contribute challenges to production, which in turn, is subject to the volatility of customer demand. Material management more than ever before, is being either the key enabler for business success, or your nemesis in not being able to achieve the necessary recovery plan if not thought out properly.

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Smart Factory Insights: Has the Industry 4.0 Gold Rush Ended?

04-06-2022

Industry 4.0, though only five years old, already has a checkered history. With buzzwords flying, existing technologies—re-branded as Industry 4.0 solutions—have been in demand. Manufacturers embarked on the Industry 4.0 “gold rush” to gather as much data as possible, and by whatever means necessary, to get those nuggets of smart manufacturing credibility. Today, the more mature approach of Industry 4.0 is emerging with consideration of a real return on investment (ROI) as well as sustainability. Taking advantage of such maturity may have been the smartest option all along.

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Smart Factory Insights: CFX IIoT Open-Source Hardware

03-09-2022

The IPC Connected Factory Exchange standard, CFX, has triggered a revolution in the way that industrial machines communicate in a secure, IIoT-based, plug and play environment. Attention now is on how CFX can be connected to older, “dumber” machines, bringing 100% visibility and control across the whole manufacturing floor, thereby avoiding the numerous technical and financial pitfalls historically experienced.

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2021

Smart Factory Insights: Digital Transcendence—Fear of The Unknown

12-22-2021

The first three industrial revolutions have brought us automation of physical tasks through adoption of mechanical and electrical machines, the benefit of which has been quite easy to appreciate. Industry 4.0 automation, however, is driven almost exclusively from the digital realm, representing a whole new world of intangibility. With manufacturing being rather averse to unplanned change or risk, unless there are very compelling reasons, how do we get to fully trust digital technology needed for our businesses today, taking us toward manufacturing digital transcendence?

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Smart Factory Insights: The Costs of Legacy Thinking

12-01-2021

As humans, we learn facts, gain impressions, create solutions, put practices into place, and move onto our next challenge. Over time, our intent is to create a legacy of value, but in many cases, we are creating legacies in a different sense. Our knowledge, experience, and creations age or become superseded, but there is resistance to replace or update. An increasing gap develops between perception and reality. Younger, more agile peers take advantage, get ahead, and we look away, thinking that they don’t know what they are doing. Though a natural human phenomenon, decision-makers in manufacturing today need to bear this mind more than ever.

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Smart Factory Insights: Hands-off Manufacturing

07-12-2021

The use of automation has not eliminated causes of unreliability, nor defects, which ironically continues to drive the need for humans to be hands-on, even as part of SMT operations. There is clearly something missing, so cue our digital twin.

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Smart Factory Insights: Me and My Digital Twin

04-12-2021

A fully functional digital twin involves more than it may initially seem. At first we tend to think about access to information. There is a great deal of trust to be taken into account when creating a digital twin, as there is scope for its use both for good and evil.

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2020

Smart Factory Insights: Changing Roles in the Digital Factory

12-01-2020

Experts once required to have a knowledge of specialized materials and processes are giving way to those experienced in the application of automated and computerized solutions. Michael Ford describes how it is time to reinvent the expectations and qualifications that we seek in managers, engineers, and production operators to attract and support a different kind of manufacturing innovation.

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Smart Factory Insights: Smart Factories—Indirectly the Death of Test and Inspection

11-04-2020

In the smart factory, test and inspection are reinvented, contributing direct added value, playing a new and critically important role where defects are avoided through the use of data, and creating a completely different value proposition. Michael Ford explains how the digitalized Deming Theory can be explained to those managing budgets and investments to ensure that we move our operations forward digitally in the best way possible.

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Smart Factory Insights: Trust in Time

08-05-2020

We’ve all heard of “just in time” as applied to the supply chain, but with ongoing disruption due to COVID-19, increasing risk motivates us to return to the bad habit of hoarding excess inventory. Michael Ford introduces the concept of "trust in time"—a concept that any operation, regardless of size or location, can utilize today.

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Smart Factory Insights: It’s Not What You Have—It’s How You Use It

06-03-2020

According to the reports, all the machines in the factory are performing well, but the factory itself appears to be in a coma, unable to fulfill critical delivery requirements. Is this a nightmare scenario, or is it happening every day? Trying to help, some managers are requesting further investment in automation, while others are demanding better machine data that explains where it all went wrong. Digital technology to the rescue, or is it making the problem worse?

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Smart Factory Insights: Seeing Around Corners

04-20-2020

Each of us has limitations, strengths, and weaknesses. Our associations with social groups—including our friends, family, teams, schools, companies, towns, counties, countries, etc.—enable us to combine our strengths into a collective, such that we all contribute to an overall measure of excellence. There is strength in numbers. Michael Ford explains how this most human of principles needs to apply to IIoT, smart manufacturing, and AI if we are to reach the next step of smart manufacturing achievement.

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Smart Factory Insights: Size Matters—The Digital Twin

02-01-2020

In the electronics manufacturing space, at least, less is more. Michael Ford considers what the true digital twin is really all about—including the components, uses, and benefits—and emphasizes that it is not just an excuse to show some cool 3D graphics.

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Smart Factory Insights: What You No Longer Need to Learn

01-14-2020

Naturally evolving layers of technological applications allow us to build and make progress, layer by layer, rather than staying relatively stagnant with only incremental improvement. To gain ground in manufacturing, Michael Ford explains how we need to embrace next-layer hardware and software technologies now so that we can focus on applying these solutions as part of a digital factory.

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2019

Smart Factory Insights: Dromology—Time-space Compression in Manufacturing

11-25-2019

Dromology is a new word for many, including Microsoft Word. Dromology resonates as an interesting way to describe changes in the manufacturing process due to technical and business innovation over the last few years, leading us towards Industry 4.0. Michael Ford explores dromology in the assembly factory today.

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Smart Factory Insights: Trends and Opportunities at SMTAI 2019

10-14-2019

SMTAI is more than just a simple trade show. For me, it is an opportunity to meet face to face with colleagues and friends in the industry to talk about and discuss exciting new industry trends, needs, technologies, and ideas.

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Smart Factory Insights: Recognizing the Need for Change

09-24-2019

We are reminded many times in manufacturing, that "you cannot fix what you cannot see" and "you cannot improve what you cannot measure." These annoying aphorisms are all very well as a motivational quip for gaining better visibility of the operation. However, the reality is that there is a lot going on that no-one is seeing.

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Accelerating Tech: Standards-driven, Digital Design Flow for Industry 4.0

04-24-2019

The term “fragmented manufacturing” is a good way to describe current assembly manufacturing challenges in an Industry 4.0 environment. Even in Germany, productivity reportedly continues to decline. To reach the upside of Industry 4.0, data flows relating to design play a major role—one that brings significant opportunity to the overall assembly business.

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The Truth Behind AI

02-28-2019

The term "artificial intelligence" or "AI" has become a source of confusion for many—heralded as part of Industry 4.0, yet associated with the threat of automation replacing human workers. AI is software rather than hardware, and it's time to put these elements of AI into context, enabling us as an industry to embrace the opportunities that so-called AI represents without being drawn in, or pushed away, by the hype.

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2018

Resolving the Productivity Paradox

12-22-2018

The productivity paradox continues to thrive. To a growing number of people and companies, this does not come as a surprise because investment in automation alone is still just an extension of Industry 3.0. There has been a failure to understand and execute what Industry 4.0 really is, which represents fundamental changes to factory operation before any of the clever automation and AI tools can begin to work effectively.

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The Truth About CFX

10-23-2018

A great milestone in digital assembly manufacturing has been reached by having the IPC Connected Factory Exchange (CFX) industrial internet of things (IIoT) standard in place with an established, compelling commitment of adoption. What's the next step?

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Advanced Digitalization Makes Best Practice, Part 2: Adaptive Planning

08-27-2018

For Industry 4.0 operations, Adaptive Planning has the capability of replacing both legacy APS tools, simulations, and even Excel solutions. As time goes on, with increases in the scope, quality and reliability of live data coming from the shop-floor, using for example the CFX, it is expected that Adaptive Planning solutions will become progressively smarter, offering greater guidance while managing constraints as well as optimization.

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Advanced Digitalization Makes Best Practice Part 1: Digital Remastering

07-02-2018

As digitalization and the use of IoT in the manufacturing environment continues to pick up speed, critical changes are enabled, which are needed to achieve the levels of performance and flexibility expected with Industry 4.0. This first part of a series on new digital best practices looks at examples of the traditional barriers to flexibility and value creation, and suggests new digital best practices to see how these barriers can be avoided, or even eliminated.

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Configure to Order: Different by Design

01-15-2018

Perhaps in the future, sentient robots looking back at humans today will consider that we were a somewhat random bunch of people as no two of us are the same. Human actions and choices cannot be predicted reliably, worse even than the weather. As with any team however, our ability to rationalize in many different ways in parallel is, in fact, our strength, creating a kind of biological “fuzzy logic.”

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2017

Counterfeit: A Quality Conundrum

10-01-2017

There is an imminent, critical challenge facing every manufacturer in the industry. The rise in the ingress of counterfeit materials into the supply chain has made them prolific, though yet, the extent is understated. What needs to be faced now is the need for incoming inspection, but at what cost to industry, and does anyone remember how to do it?

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