Revisiting the Black Box

One of the questions that LNS Research often gets is how to explain Artificial Intelligence (AI) and Machine Learning (ML) not only to plant personnel, but also to operating management, in such a way so that they can understand them sufficiently to place a reasonable degree of trust in them. In other words, enough to allow their adoption for predictive maintenance and other data science-based applications.

Last week’s job report showed what many of us already knew intuitively. The real economy is bad and will likely get worse before it gets better.

As I sit in my wee home office in rural Belgium, I am regularly reminded by the most recent news flash that we are in lockdown – do not go out! Unless, of course you are exempted by meeting one of dozens of criteria listed in the government FAQ. It is great to see the threat being taken so seriously; we can only hope the rapid growth in new cases will slow down soon. Even so, we can expect to be confined for a considerable period and continue to support our clients as well as ever.

In the early days of the COVID-19 crisis, the public health response was focused on containment, and the advice for industry was supply chain resiliency and risk management. Ensure that sole sourced critical components had been eliminated or weren’t coming from affected regions. In large part, North American and European manufacturing passed the test, due to several factors, including work already done after the Fujiyama nuclear disaster and supplier shifts forced by the several year-old trade-war.

In our recent eBook introducing research on the factory of the future (FoF), we show that the factory itself will be a hotbed of innovation and a key provider of vital information to help drive Industrial Transformation (IX). The three pillars of IX—people, process and technology—are all vital to success, but today we discuss the pillar that is probably the most important factor that will determine whether the FoF will deliver its promise or not: people.

We recently presented a webcast on “Factory of the Future: Optimizing the Plant for Industrial Transformation (IX)". The presentation covered the starting point for your Factory of the Future (FoF) journey, how to build the architecture to support FoF processes, and sources of data and ideas for bringing it all together. We also looked at key technologies that you should consider in your FoF journey—including MOM, digital twins, AI and digital Lean— and how to define and use Edge computing concepts in the integrated world. Here we will look at the 7 standout questions that came out of that session.

The relationship between asset performance and operational performance are well known and pervasive. All too often, however, companies manage them in sub-optimized in silos. Recent discussions with clients clearly reinforced our insight that operating in silos is counter-productive to industrial transformation (IX). It doesn't matter if the company is an asset-intensive business and the most critical metrics are uptime and reliability, or a product-centric manufacturer where quality and efficiency are most critical. If the organization doesn't manage these things holistically, it will lose ground to competitors.

Over the last decade, Siemens has gone through a massive transformation, not least in its software businesses. The current home for its comprehensive offerings is the Digital Industries Software (“Siemens”) division (a part of Digital Industries that includes discrete and process controls, automation, and drives). Siemens recently held its annual conference for media and analysts in New York where it brought us up to date on its impressive progress in software solutions. Announcements primarily related to how the company is bringing different parts of the portfolio together. We don’t perceive that as a lack of progress, but rather a demonstration of ever more sophisticated solutions around the Digital Twin.

LNS Research was delighted to be invited again to Dassault Systèmes’ (3DS) annual get together for a small band of diverse industry analysts that cover a wide range of 3DS’ industries and technologies. Quite literally right out of the gate, 3DS surprised us on the bus to the event by announcing that Dassault Systèmes had acquired Medidata Solutions, Inc. for $5.8 billion.

Manufacturing Operations Management (MOM) solutions provide two traditional functions in the manufacturing plant:

• Support and enforce manufacturing processes and procedures, and
• Bridge industrial automation systems that provide plant floor control to enterprise and business operations systems.