Make Manufacturing Cool Again

By Oliver Perez, EMI Manufacturing Technology Director, BD

Oliver Perez, EMI Manufacturing Technology Director, BD

Moving out of the Industrial Revolution, the mental image of Manufacturing was a cluttered shop floor with large machines and people in greasy overalls working around them. The machine production replaced craftsmanship and large factories were born. People moved from the fields into the cities and a new social era was born with it. In the 19th century, electricity simplified those large machines and reconfigured the interior of the factories. Now, the machines could be far away from the steam generators without energy losses. The assembly production line made its appearance and was immediately filled with cheap human labor. Later, electricity brought with it a series of innovations that continuously provided productivity increases to this model; muscle power was tamed and successfully substituted by mechanical power energized by electricity.

By mid-20th century, data out of manufacturing was reserved to the engineers, to the only people capable of making sense out of it and providing a diagnosis on a machine malfunction, product quality or a production planning situation. Islands of local information acquisition and processing were born across the manufacturing floor. At that moment, the mechanical power had an ally in the electronic devices that provided a primitive sensing and capacity of processing information giving birth to industrial automation. Workflows were simplified and production lines were revamped with automated solutions to make a single massive, unique, and cheap product over and over again. Productivity gains started to shift from human labor dependent to asset dependent, and manufacturing models such as dedicated factories were born.

It was clear that by the end of the 20th century, the mechanical actions used to transform raw material into finish goods were mastered. A single product could be made in large volumes faster and cheaper than ever before, by controlling the flow of information using Programmable Logic Controllers (PLC) as the orchestra director instructing machines what to do, and in what order in a simplified automated line.

Before the dawn of the 21st century, information became digital, and the Internet disrupted society creating new business models (and bubbles). “Things” got smarter and mobility entered society connecting the world as never before. Under the pressure of this progress, one fits all products didn’t seem appealing, late deliveries were not accepted and having the ability to alter purchase orders at any time was demanded. Manufacturing once again mismatches these new requirements and clashed, still struggling to comply with these new demands.

"Productivity gains started to shift from human labor dependent to asset dependent, and manufacturing models such as dedicated factories were born"

So now, it is time to Make Manufacturing Cool Again. It is time to give customers what they are asking for. It is time to reinvent manufacturing as we did when moving from steam to electricity, from electricity to automation and now from automation to cyber-physical solutions. It is time to modernize manufacturing by providing high levels of flexibility accompanied by another wave of operating cost reduction, as well as rigorous product quality and worker safety.

Now that we know why we need to reinvent manufacturing, let’s ignite this revolution inside your company; let’s discuss the changes that need to happen within the walls of the factory.

I mentioned cyber-physical solutions. In this context, what the word solution entails is a symbiosis between the digital and physical domains. A solution that goes back and forth taking the best of both:

Physical to—The purpose is to capture the sea of data from the production floor in order to convert it into digital information. These flows of digital information are then used by software entities to control and improve manufacturing: SCADA, MES, etc. Augmented Reality, for example, allows production crews to combine these two domains in real-time to accelerate learning curves, simplify maintenance or facilitate quality inspections. Now imagine that you scanned your entire factory and have it in your virtual world—you can plan and simulate all your changes without moving a physical asset in the floor. Engineering changes literally took another dimension.

Digital to Physical—The purpose is to create algorithms to manipulate information and take decisions that trigger action at the floor level. When you have a 3D model of a component or a fixture, for example, you take that model from your computer to a physical object which eliminates intermediaries, speed up your prototyping cycle, and vertically integrate part of your supply. But above all, it gives you an autonomy that you didn’t have before. 3D maps of your factory are used for autonomous robots which optimize routes in real-time and avoid collisions while transporting material.

Digital to Digital—The purpose is to manipulate information to reveal meaning. Using Big Data to unveil mean time between failures in predictive maintenance or using advance analytics to expose non-obvious trends that could cause shortages of material or product delivery issues are examples in this domain.

Needless to say, all big companies have already started this manufacturing technology expedition. Some have clear strategies while some others have good ideas. But all of them require the support from their leadership. They call it Smart Manufacturing, Advanced Manufacturing, e-Factory, Factory of the Future, Industry 4.0 or Manufacturing 4.0. It really doesn’t matter, at the end they all look for larger profitability pools, competitive advantage, and a lot of fun.

See Also: Newgioco | CIOReview