Smart Factory Insights: Trust in Time

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. Based on the public’s initial response to COVID-19—namely hoarding toilet paper—we can only imagine what is filling our manufacturing warehouses right now. Such practices usually just make matters worse. Knowing is everything, yet what we see in ERP in terms of material quantities cannot be trusted. If you fundamentally cannot trust that you have all materials available when you need them, manufacturing will fail. This is happening right now.
 
Trust in Time
This is simply the knowledge that you physically have, or will have, all of the required materials available to complete an intended production job at the planned time. Don’t bother Googling this phrase; you are hearing it here for the first time. Trust, in this case, is based on knowledge and control. Knowledge includes information about exactly what materials are on site, in what quantities, the supply forms, locations, as well as full accountability of actual consumption, spoilage, and any other dispersion. Control extends through warehouse storage, logistics, as well as the management of part-used materials that are on a carrier, such as on a reel, in a box or carton, etc. The difficulty is that during manufacturing, all of these aspects of knowledge and control are fluid, changing several times every second as materials are allocated, moved, and used. Keeping track manually or by ERP has, in the past, proven to be nearly impossible and certainly impractical.
 
The Stock Check
Symptoms of the lack of trust in material inventory are easily and commonly found. The periodic stock check entails going through the whole factory and warehouses, counting up the quantities of physical materials. This process can take a couple of days, even with a massive focus of manpower. The factory will be stopped for most of this time to enable an "un-fluid" snapshot to be taken, which costs the operation around 1% in annual lost productivity each time the stock check is performed. The result is usually much more painful, as significant discrepancies between the physical stock, and what ERP has as inventory levels, are revealed and have to be financially written off. In medium-sized electronics manufacturing sites, around $1 million in write-offs of “lost” materials per year, is not unheard of. In terms of cost savings, in this aspect of material management alone there is a great deal of potential justification for a solution that can eliminate these discrepancies.
 
Where Did It All Go Wrong?
Immediate culprits are easy to identify. In the electronics sector, and in common with other areas of automation, SMT machines throw away materials during their operation that they cannot pick up and recognize in exactly the way they need. The setup of feeders and variations in material dimensions can have quite an effect on the rate of this form of spoilage. A feeder set to the incorrect pitch can create 50% spoilage without anyone noticing until later, when an unexpected internal material shortage happens because materials that ERP identifies as available no longer exist.
 
Materials are also lost due to repeated handling, especially part-used materials in SMT that need to be put on and taken off from feeders and other carriers. All materials, however, can be lost or damaged whenever they need to be “touched,” including becoming contaminated. In addition, materials become too old to use or obsolete after the relayed product’s end of life.
 
The symptom of the need to perform a stock check is the occurrence of unexpected material shortages. Having to stop or delay production is bad, but in many cases, it’s not even the worst issue. The immediate response in such cases is the mandate to maintain higher levels of buffer stock, which leads to holding excessive inventory on the balance sheet. ERP will not order materials unless it can see the requirement, so the required buffer levels in the system have to be increased. It is not the fault of ERP that it is mind-numbingly difficult to manually count and update the attrition of every lost part; it just doesn’t get done.
 
ERP also has additional challenges when the consumption of materials is not registered until the product is completed. Materials may be in the factory, many of which are already on a partially assembled product. If the completion of that product is delayed, perhaps due, ironically, to lack of a material, the problem compounds. The knee-jerk reaction, going back decades, is to bloat the stock levels, even though it is expensive, risky, and not good for the bottom line of the business. In the vast majority of manufacturing operations today, we find bloated inventories, with (hopefully) enough materials to carry the operation from one stock check to the next. And then COVID-19 comes along.
 
What Do We Do Now?
As humans facing COVID-19, we bought toilet paper, bread, and wine. I’m not sure what the connection is between these items, but what food items should we stock up on? For too long, people in manufacturing have been concerned with the supply of critical materials, forgetting that the absence of any part, no matter how insignificant, will mean the product cannot be completed. As humans, we can go without chickpeas or avocados for a couple of weeks, but in manufacturing, the full set of ingredients in the recipe for each product is always required.
 
Unexpected material shortages cause havoc, especially mid-way through a production run. Before any production commitment, availability of materials to complete the order must be checked, though with this being a fluid concept, it is not easy unless cages are set up to surround kits of materials that have been created. ERP, the tool purchased to manage this situation that we trust to keep our factory moving, cannot help us because we are in between stock checks, with many unknowns in terms of actual physical inventory quantities.
 
Software technology in manufacturing has radically advanced recently, specifically related to IIoT data exchange and associated digital MES functionality. This is a clear step up from the capabilities of ERP or incumbent MES systems, though modern IIoT-based MES solutions are designed to directly complement ERP, as well as many aspects of PLM. With production processes linked up as part of the IIoT-based MES platform, every individual component that exists in the factory is accounted for, almost all without the need for human intervention—whether individually identified or supplied in bulk. The IIoT-based MES platform supports decision-making for immediate production changes, safe in the knowledge that the exact materials are definitely available for use without the indulgence of bloated stock levels.
 
As the physical stock levels are so closely aligned with the system, the stock check process becomes virtual, continuous, without nasty surprises. ERP performs its work more seamlessly, optimizing the incoming supply-chain in terms of cost, risk, and quality. With such technology, we typically see up to a 75% reduction of materials on the shop floor. Short-term schedule changes are handled seamlessly without additional concerns. Warehouse sizes have been known to reduce by a factor of four when all the unnecessary bloated stock is removed.
 
The overall effect on the bottom line of the business of the “trust in time” Lean supply chain within the factory is seen by many as being the most significant cost saving that can be made. “Trust in time” lean materials is a very simple concept and far simpler to computerize than the push-kit system that it replaces. It is a real differentiator that any operation, regardless of size or location, can utilize today.
 
This column appears in the August 2020 issue of SMT007 Magazine.

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2020

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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