Issue link: https://iconnect007.uberflip.com/i/647109
March 2016 • SMT Magazine 71 MEntor graPhICS' orEn Manor IntErvIEw and some added software in order to make the lines IOT ready when this equipment was obvi- ously designed maybe 10–15 years ago. Matties: In a perfect world your equipment talks to you and to the next piece down the line say- ing, "Here's what's coming. Here's how to set up. Or I'm low on this solution. Replenish over here." That's the sort of thing you're describing. Manor: That sort of thing and also some things like, "I have some optical inspection and I see some misalignments." It communicates to the machines down the line and the engineer to say, "Look, there's too much of these misalign- ments. Maybe there's something wrong with your assembly process." The engineer gets some snapshot on his mo- bile phone, sees the actual image coming from the optical inspection and says, "Yep, misalign- ment. Please do the corrective action." Or may- be, "Don't do the corrective action." And if this happens enough maybe he'll put in some rule and then the machine does it automatically so if it happens every day we can automate it. Not necessarily every decision is going to be made by the machines, but we're going to have a lot of more decision supportin g tools which will al- low the operator interim time in the cafeteria to actually get the information, make the deci- sion and then decide if he should automate it. From now on let the machine do it automati- cally or does he continue mandating this man- ually because it's a very sensitive and process driven issue. Matties: Is the risk in this new Internet of Things, Industry 4.0, too much data? Data overload? Manor: We definitely see data everywhere. When we used to talk about big data it was something for big banks or big insurance pro- viders, but now nearly every factory which produces large volumes has a lot of data. The machines output a lot of data. The testers, the functional testers, the inspection testers, and it doesn't really matter what you make. You've got a lot of data. If you want to also keep the data for some six months, nine months, or a longer period of time, you want to quickly query it. I think ev- erybody at the end of the day is going to have to invest in big data solutions. Some will prob- ably go to the big ERP solutions like SAP HANA. These guys are also working on big implemen- tations of big data, which I believe some of the larger organizations would go to. But even smaller manufacturers will have deploy some kind of big data solution. That's also something we're working on because people at the end of the day want to query and get results fast and accurate and be able to run dashboards. If they