Technology vendors expect that 2020 will be a big year for manufacturing plants to onboard digital systems. But will it happen? While digital systems IoT, machine learning, 5G, cloud-based systems have proven themselves as worthwhile investments, they may not get deployed widely.
For insight on what to expect in 2020, we turned to Rajeev Gollarahalli, chief business officer at 42Q, a cloud-based MES software division of Sanmina. Gollarahalli sees a manufacturing world that will take solid steps toward digitalization in 2020, but those steps are likely to be incremental rather than revolutionary.
5G On The Plant Floor
Design News: Will 5G increase the pace of digital factory transformation, and where it will have the most impact?
Rajeev Gollarahalli: Weve started to see a little of 5G popping up in the factory, but its limited. Its mostly still in the proof-of-concept stage. It will be some time before we see more, probably around the end of next 2020.
DN: Will 5G increase the pace of digital transformation?
Gollarahalli: Undoubtedly. Yet one limit is that in order to make accurate decisions, you need to be able to ingest high volumes of data in real-time. Thats been one of the limitations in infrastructure. When you can use 5G across the factory, youll have considerable infrastructure. That challenge with data is solved by 5G.
DN: What still needs to be done in order to deploy 5G?
Gollarahalli: You have the 5G service providers and 5G equipment manufacturers working together. Both are developing capabilities in their own silos. What has not yet matured is putting these together, whether its in health, discreet manufacturing, telecom, or aerospace. The use cases havent matured, but we are seeing more use cases piling up.
DN: What could spur equipment vendors and telecom to work together?
Gollarahalli: I think well see an industry consortium. That doesnt exist now. There are partners that are starting to talk. Verizon is working with network providers. Youre going to see two or three different groups emerge and come together to do standards. With the advent of 5G, and the emergence of IIoT, they are all going to come together. One of the limitations is the volume. We generate about a terabyte of data with IoT. The timing will be perfect for getting 5G utilized for IoT and get it widely adopted.
The Emerging Workforce Skilled In Digital Systems
DN: What changes in the plant workforce can we expect in the coming year?
Gollarahalli: The workforce will need a completely different set of skills to drive automation on the factory floor, and industry has to learn how to attract those workers People are saying manufacturing is contracting, but Im not seeing it. Manufacturing seems to be stable. As for skills for the factory of the future, we need to be re-tooling our employees. The employees today dont have the technical skills, but they have the domain skills. We need to get them the technical skills they need.
DN: Will the move to a workforce with greater technology skills be disruptive?
Gollarahalli: Youre not going to see mass layoffs, but youre going to see retooling the skills of the employees. We cant get them trained at the speed that technology is increasing. Were going to see more employees getting ready in trade schools and with degrees. What youre seeing is a convergence of data skills with AI and domain skills. An ideal skillset is someone who understands manufacturing and knows the data. For several years kids were moving away from STEM, wanting to learn the sexier stuff. But I think STEM is coming back.
Cloud-Based Systems For Security
DN: Will cloud-based systems be the go-to for manufacturing security versus on-premises security?
Gollarahalli: Five years ago, when I talked about cloud with customers, they asked whether it was real-time. That was when the infrastructure was not as secure. I have a network at home. That was unheard of 10 years ago in factories. Now that the infrastructure issue has been solved, the next step is security. I have always countered that you cant secure data on premises as well as you can in a cloud. A lot of money has poured into cloud-based security. No single company can match that. Its almost impossible to do it on premises.
AI, Machine Learning and Big Data Analytics
DN: Will advances in AI, machine learning, and analytics?
Gollarahalli: Were seeing AI and ML (machine learning) is some areas. Were seeing it implemented in some areas at 42Q. Most use cases are around asset management and quality. Its used to predict the quality of a product and to take preventive actions in asset maintenance. AI and ML are also popping up in supply chain management. 2020 will be the year of AI and ML. Its getting embedded into medical products. Youll see it pop up everywhere, showing up on the factory floor as well as in our consumer products.
DN: Is AI and machine learning going mainstream yet or is it mostly getting deployed by large manufacturers who are typically the early users?
Gollarahalli: Youre going to see it move down the supply chain to tier 2 and tier 3 suppliers. I dont think its just for the elite any more. Its getting adopted quickly, but it is not happening as quickly as I thought it would.
The Role Of IoT In Manufacturing
DN: Will we see growth in IoTs role in measuring and providing closed loop controls?
Gollarahalli: Were going to see it in manufacturing, regulating the humidity in the room or the temperature on the floor. They need closed loop from IoT. Theyre measuring with IoT, but the closed loop as not been adopted as quickly. We dont have the right standards. How do you do close loop with a system that is throwing off data in milliseconds. You must be able to use the IoT and those algorithms. If you can make them more efficient for closed loop control, youll see a lot more of it going forward.
Rob Spiegel has covered automation and control for 19 years, 17 of them for Design News. Other topics he has covered include supply chain technology, alternative energy, and cyber security. For 10 years, he was owner and publisher of the food magazine Chile Pepper.
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